diff --git a/dev/generate_headers.py b/dev/generate_headers.py
index 4a88bb3b..f5c153e7 100644
--- a/dev/generate_headers.py
+++ b/dev/generate_headers.py
@@ -205,7 +205,7 @@ def combine_json(root_dir):
     
     master = []
     
-    for file in glob.glob(os.path.join(root_dir,'dev','incompressible_liquids','*.json')):
+    for file in glob.glob(os.path.join(root_dir,'dev','incompressible_liquids','json','*.json')):
         
         path, file_name = os.path.split(file)
         fluid_name = file_name.split('.')[0]
diff --git a/dev/incompressible_liquids/AEG.json b/dev/incompressible_liquids/AEG.json
deleted file mode 100644
index 8a3b5163..00000000
--- a/dev/incompressible_liquids/AEG.json
+++ /dev/null
@@ -1,203 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.53181e+02
-      ], 
-      [
-        -9.14490e+01
-      ], 
-      [
-        -1.32115e+02
-      ], 
-      [
-        -9.94598e+01
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  3.05650e+02, 
-  "Tmax":  3.73150e+02, 
-  "Tmin":  2.38150e+02, 
-  "TminPsat":  3.73150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.45374e+02, 
-        -4.06786e+02, 
-         2.32588e+02, 
-        -1.56913e+02, 
-        -1.07428e+02, 
-         1.19226e+03
-      ], 
-      [
-         8.70681e-01, 
-        -1.56046e+00, 
-         7.90936e-01, 
-        -2.92692e-02, 
-        -2.37209e-01, 
-         0.00000e+00
-      ], 
-      [
-        -5.35276e-03, 
-         1.08291e-02, 
-        -6.11730e-03, 
-         5.71603e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -1.56076e-07, 
-        -6.13994e-06, 
-         3.17983e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.04734e+03, 
-         1.40448e+02, 
-        -4.87056e+01, 
-         7.14169e+01, 
-         5.24585e+01, 
-        -6.93396e+02
-      ], 
-      [
-        -4.50505e-01, 
-        -3.00158e-01, 
-        -3.95261e-02, 
-         2.49626e-02, 
-        -6.81758e-02, 
-         0.00000e+00
-      ], 
-      [
-        -2.43270e-03, 
-        -2.08438e-05, 
-         3.10835e-04, 
-        -8.97971e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -3.72522e-09, 
-         1.04478e-06, 
-        -4.39116e-06, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "ASHRAE, Ethylene Glycol", 
-  "mass2input": {
-    "coeffs": [
-      [
-         3.25615e-01, 
-         9.78679e-01, 
-         1.49269e-01, 
-         3.63567e-02, 
-        -3.46769e-01, 
-        -1.01166e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "AEG", 
-  "reference": "ASHRAE Fundamentals Handbook 2001, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.59655e+03, 
-        -1.70707e+03, 
-        -4.44754e+02, 
-        -5.52792e+02, 
-        -7.15906e+02, 
-         7.90530e+03
-      ], 
-      [
-         3.09689e+00, 
-         5.18438e+00, 
-        -7.06138e-01, 
-         7.94989e-01, 
-        -6.68939e-01, 
-         0.00000e+00
-      ], 
-      [
-        -3.38864e-05, 
-         3.63972e-04, 
-         9.16994e-04, 
-        -5.35982e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         3.17128e-07, 
-        -2.45734e-06, 
-         1.41954e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         5.19337e+00, 
-         2.88130e+00, 
-         8.37439e-01, 
-        -1.92963e+01, 
-        -1.31098e+01, 
-         2.52859e+02
-      ], 
-      [
-        -2.41085e-02, 
-        -1.59301e-02, 
-        -6.96121e-03, 
-        -6.32225e-02, 
-        -2.65148e-01, 
-         0.00000e+00
-      ], 
-      [
-         1.76448e-04, 
-         1.70879e-04, 
-        -4.01434e-04, 
-        -2.47710e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -1.31542e-06, 
-        -1.74532e-06, 
-         9.97346e-06, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  3.50000e-01, 
-  "xid": 2, 
-  "xmax":  6.00000e-01, 
-  "xmin":  1.00000e-01
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/AKF.json b/dev/incompressible_liquids/AKF.json
deleted file mode 100644
index 29eaa264..00000000
--- a/dev/incompressible_liquids/AKF.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.42655e+02
-      ], 
-      [
-        -6.22455e+01
-      ], 
-      [
-        -3.62720e+01
-      ], 
-      [
-        -3.81369e+01
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.78150e+02, 
-  "Tmax":  3.23150e+02, 
-  "Tmin":  2.33150e+02, 
-  "TminPsat":  3.23150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         5.03033e-01, 
-        -1.18124e-01, 
-         1.22604e-02, 
-        -4.81554e-02, 
-        -6.86435e-02, 
-        -2.69198e-01
-      ], 
-      [
-         9.82231e-04, 
-        -5.70913e-04, 
-         4.63187e-04, 
-        -1.21107e-03, 
-        -3.38279e-03, 
-         0.00000e+00
-      ], 
-      [
-         8.30321e-08, 
-        -4.46942e-07, 
-         5.51279e-08, 
-        -1.55146e-05, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -4.12992e-09, 
-         1.03566e-08, 
-         4.48548e-08, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.26379e+03, 
-         3.10829e+02, 
-        -4.95857e+01, 
-         2.44750e+02, 
-         2.08703e+02, 
-         3.88899e+01
-      ], 
-      [
-        -3.57604e-01, 
-        -1.63231e-01, 
-         1.73516e-02, 
-        -2.27169e-01, 
-        -2.62087e-01, 
-         0.00000e+00
-      ], 
-      [
-        -1.11454e-04, 
-         2.96450e-04, 
-        -8.42446e-04, 
-        -1.39887e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -4.06738e-05, 
-        -3.30502e-05, 
-         1.52425e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Antifrogen KF, Potassium Formate", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "AKF", 
-  "reference": "Clariant GmbH Jan. 2000, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         2.86669e+00, 
-        -1.20396e+00, 
-         1.01011e+00, 
-         3.36595e+00, 
-        -3.83552e+00, 
-        -1.96448e+01
-      ], 
-      [
-         1.31823e-03, 
-        -1.75221e-03, 
-        -6.87013e-03, 
-         7.79496e-03, 
-         2.83631e-02, 
-         0.00000e+00
-      ], 
-      [
-         1.66298e-07, 
-         3.29186e-06, 
-        -1.40127e-05, 
-         6.37505e-06, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         5.92069e-09, 
-        -3.28861e-08, 
-         2.92178e-07, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         1.08527e+00, 
-         1.36617e+00, 
-         5.63719e-01, 
-         5.38741e-01, 
-         1.54431e+00, 
-         2.50128e+00
-      ], 
-      [
-        -2.39090e-02, 
-        -8.58392e-03, 
-         2.51336e-03, 
-         3.47628e-02, 
-        -2.37824e-02, 
-         0.00000e+00
-      ], 
-      [
-         1.66964e-04, 
-        -5.07638e-04, 
-         1.09707e-03, 
-        -9.64705e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -6.71424e-06, 
-         5.30223e-06, 
-        -3.46799e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  7.00000e-01, 
-  "xid": 2, 
-  "xmax":  1.00000e+00, 
-  "xmin":  4.00000e-01
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/AL.json b/dev/incompressible_liquids/AL.json
deleted file mode 100644
index b9e1294a..00000000
--- a/dev/incompressible_liquids/AL.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.55606e+02
-      ], 
-      [
-        -8.55434e+01
-      ], 
-      [
-        -1.11262e+02
-      ], 
-      [
-        -8.51004e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.93150e+02, 
-  "Tmax":  3.53150e+02, 
-  "Tmin":  2.33150e+02, 
-  "TminPsat":  3.53150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.39309e-01, 
-        -4.18248e-01, 
-         2.07942e-01, 
-         2.44072e-02, 
-        -3.87048e-01, 
-         4.48292e-01
-      ], 
-      [
-         2.43917e-04, 
-        -3.64724e-03, 
-         1.99310e-03, 
-         4.33674e-03, 
-        -2.14561e-03, 
-         0.00000e+00
-      ], 
-      [
-        -9.43748e-07, 
-         7.25046e-06, 
-        -2.15644e-05, 
-         1.41520e-05, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         2.09785e-08, 
-         3.80846e-08, 
-        -9.68744e-08, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.03427e+03, 
-         9.92541e+01, 
-        -2.92974e+01, 
-        -8.07054e+01, 
-        -5.51870e+01, 
-        -1.35767e+02
-      ], 
-      [
-        -5.25649e-01, 
-        -6.91564e-01, 
-        -9.58106e-02, 
-         5.22262e-01, 
-         1.30731e+00, 
-         0.00000e+00
-      ], 
-      [
-        -2.86157e-03, 
-         2.15927e-03, 
-         1.17377e-03, 
-         1.72686e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         1.26019e-05, 
-         3.89662e-06, 
-         3.78836e-06, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Antifrogen L, Propylene Glycol", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "AL", 
-  "reference": "Clariant GmbH Jan. 2000, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.80756e+00, 
-        -1.52916e+00, 
-        -1.26456e+00, 
-         1.31193e-01, 
-         6.29246e-01, 
-        -4.30131e-01
-      ], 
-      [
-         2.19962e-03, 
-         8.68464e-03, 
-         1.96805e-03, 
-        -1.06077e-02, 
-        -6.66506e-03, 
-         0.00000e+00
-      ], 
-      [
-         3.01594e-06, 
-        -2.83617e-05, 
-         3.90256e-06, 
-         8.05890e-05, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         1.98685e-10, 
-         1.82859e-07, 
-         3.74653e-08, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         1.41445e+00, 
-         4.28585e+00, 
-        -8.09908e-01, 
-         1.39768e+00, 
-        -1.47956e+01, 
-        -4.04099e+01
-      ], 
-      [
-        -3.87655e-02, 
-        -3.41529e-02, 
-        -1.09813e-02, 
-         9.44568e-02, 
-        -6.68245e-02, 
-         0.00000e+00
-      ], 
-      [
-         2.97989e-04, 
-        -3.17601e-05, 
-         1.61393e-03, 
-         1.44119e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -1.28331e-06, 
-        -3.70486e-06, 
-        -2.99608e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  3.50000e-01, 
-  "xid": 2, 
-  "xmax":  6.00000e-01, 
-  "xmin":  1.00000e-01
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/AN.json b/dev/incompressible_liquids/AN.json
deleted file mode 100644
index 6952c856..00000000
--- a/dev/incompressible_liquids/AN.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.52420e+02
-      ], 
-      [
-        -8.24572e+01
-      ], 
-      [
-        -1.29295e+02
-      ], 
-      [
-        -2.11010e+02
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.93150e+02, 
-  "Tmax":  3.53150e+02, 
-  "Tmin":  2.33150e+02, 
-  "TminPsat":  3.53150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.57783e-01, 
-        -3.17736e-01, 
-         2.90675e-01, 
-        -2.30276e-02, 
-        -6.60398e-01, 
-        -1.28956e+00
-      ], 
-      [
-         2.02498e-04, 
-        -3.15006e-03, 
-         1.41191e-03, 
-         6.66716e-03, 
-        -7.57305e-03, 
-         0.00000e+00
-      ], 
-      [
-         6.60426e-07, 
-        -1.45577e-05, 
-        -5.78443e-07, 
-         7.74864e-05, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -8.72899e-09, 
-         7.36889e-08, 
-        -1.23574e-07, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.05794e+03, 
-         1.70264e+02, 
-        -3.87552e+01, 
-        -1.98696e+02, 
-         1.60669e+02, 
-         1.13505e+03
-      ], 
-      [
-        -4.01555e-01, 
-        -6.80156e-01, 
-        -1.31669e-01, 
-         2.80752e-01, 
-        -1.00194e+00, 
-         0.00000e+00
-      ], 
-      [
-        -2.78910e-03, 
-         4.65307e-03, 
-         3.92360e-05, 
-         3.33566e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         6.10953e-06, 
-        -4.77509e-06, 
-         4.96236e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Antifrogen N, Ethylene Glycol", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "AN", 
-  "reference": "Clariant GmbH Jan. 2000, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.62977e+00, 
-        -2.07088e+00, 
-        -5.08384e-01, 
-         4.62370e+00, 
-         1.64094e+00, 
-        -1.78289e+01
-      ], 
-      [
-         1.86500e-03, 
-         9.42382e-03, 
-         6.03989e-03, 
-        -4.06848e-02, 
-        -3.63437e-02, 
-         0.00000e+00
-      ], 
-      [
-         6.86292e-06, 
-        -1.56638e-05, 
-        -8.62796e-05, 
-         2.41699e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -1.50858e-08, 
-        -9.80426e-08, 
-         6.54037e-07, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         1.03551e+00, 
-         2.74051e+00, 
-         1.48402e+00, 
-         6.39522e+00, 
-        -8.82785e+00, 
-        -4.96015e+01
-      ], 
-      [
-        -3.01333e-02, 
-        -1.79247e-02, 
-        -5.96455e-02, 
-         6.70173e-02, 
-         4.14554e-01, 
-         0.00000e+00
-      ], 
-      [
-         2.65215e-04, 
-         6.09376e-04, 
-        -6.49731e-04, 
-        -2.67949e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -2.12877e-06, 
-        -6.85323e-06, 
-         1.77008e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  3.50000e-01, 
-  "xid": 2, 
-  "xmax":  6.00000e-01, 
-  "xmin":  1.00000e-01
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/APG.json b/dev/incompressible_liquids/APG.json
deleted file mode 100644
index d5d71a73..00000000
--- a/dev/incompressible_liquids/APG.json
+++ /dev/null
@@ -1,203 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.56287e+02
-      ], 
-      [
-        -8.34536e+01
-      ], 
-      [
-        -1.65094e+02
-      ], 
-      [
-        -1.84857e+02
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  3.05650e+02, 
-  "Tmax":  3.73150e+02, 
-  "Tmin":  2.38150e+02, 
-  "TminPsat":  3.73150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.32977e+02, 
-        -4.53555e+02, 
-         1.84501e+02, 
-        -2.43521e+02, 
-         6.26649e+01, 
-         1.89136e+03
-      ], 
-      [
-         7.33887e-01, 
-        -1.96685e+00, 
-         9.86140e-01, 
-        -1.81757e-02, 
-        -1.62875e+00, 
-         0.00000e+00
-      ], 
-      [
-        -5.42417e-03, 
-         1.10080e-02, 
-        -3.75481e-03, 
-         5.47669e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         5.87975e-07, 
-        -6.77723e-07, 
-        -2.21307e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.02618e+03, 
-         7.25368e+01, 
-        -6.53255e+01, 
-         3.46657e+01, 
-        -1.58278e+01, 
-        -2.13988e+02
-      ], 
-      [
-        -5.35006e-01, 
-        -5.05630e-01, 
-         1.75128e-01, 
-        -9.23330e-02, 
-         2.87743e-02, 
-         0.00000e+00
-      ], 
-      [
-        -2.56616e-03, 
-        -1.70358e-04, 
-         1.16589e-03, 
-        -2.07517e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -5.17733e-09, 
-         9.67318e-09, 
-         3.36886e-07, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "ASHRAE, Propylene Glycol", 
-  "mass2input": {
-    "coeffs": [
-      [
-         3.44491e-01, 
-         1.01746e+00, 
-         1.07297e-01, 
-        -6.23239e-02, 
-        -8.16893e-01, 
-        -1.55261e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "APG", 
-  "reference": "ASHRAE Fundamentals Handbook 2001, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.81539e+03, 
-        -1.39188e+03, 
-        -1.12140e+03, 
-        -4.19394e+02, 
-        -2.43530e+02, 
-         4.05415e+03
-      ], 
-      [
-         3.02575e+00, 
-         5.55861e+00, 
-        -1.07339e-01, 
-         5.29072e-01, 
-        -2.26208e+00, 
-         0.00000e+00
-      ], 
-      [
-         4.16534e-05, 
-        -9.03207e-05, 
-        -3.39217e-03, 
-         1.07947e-02, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -4.30948e-07, 
-        -1.33518e-06, 
-         3.53890e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         5.48710e+00, 
-         3.57366e+00, 
-        -1.99521e+00, 
-        -6.42511e+00, 
-         3.60195e+01, 
-         5.35088e+01
-      ], 
-      [
-        -3.28440e-02, 
-        -3.83834e-02, 
-         8.22353e-02, 
-         1.52079e-02, 
-        -1.12374e+00, 
-         0.00000e+00
-      ], 
-      [
-         2.49201e-04, 
-         3.52989e-04, 
-        -5.11955e-04, 
-        -6.57229e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -1.15577e-06, 
-        -1.21654e-06, 
-         3.23012e-06, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  3.50000e-01, 
-  "xid": 2, 
-  "xmax":  6.00000e-01, 
-  "xmin":  1.00000e-01
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/AS10.json b/dev/incompressible_liquids/AS10.json
deleted file mode 100644
index 54434339..00000000
--- a/dev/incompressible_liquids/AS10.json
+++ /dev/null
@@ -1,92 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  2.73150e+02, 
-  "Tmax":  3.03150e+02, 
-  "Tmin": -10, 
-  "TminPsat":  3.03150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         5.14259e-01
-      ], 
-      [
-         1.48300e-03
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.09000e+03
-      ], 
-      [
-        -2.00000e-01
-      ], 
-      [
-         1.66533e-16
-      ], 
-      [
-        -1.89735e-18
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Aspen Temper -10, Potassium acetate/formate", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "AS10", 
-  "reference": "Aspen Petroleum AB, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.54183e+03
-      ], 
-      [
-         2.01000e+00
-      ], 
-      [
-        -1.32589e-02
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         2.80155e+00
-      ], 
-      [
-        -1.06314e-01
-      ], 
-      [
-         2.35381e-03
-      ], 
-      [
-        -2.11481e-05
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 3, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/AS20.json b/dev/incompressible_liquids/AS20.json
deleted file mode 100644
index 0c7be261..00000000
--- a/dev/incompressible_liquids/AS20.json
+++ /dev/null
@@ -1,92 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  2.73150e+02, 
-  "Tmax":  3.03150e+02, 
-  "Tmin": -20, 
-  "TminPsat":  3.03150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.80766e-01
-      ], 
-      [
-         1.34200e-03
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.14700e+03
-      ], 
-      [
-        -2.21429e-01
-      ], 
-      [
-        -1.42857e-03
-      ], 
-      [
-         2.98156e-19
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Aspen Temper -20, Potassium acetate/formate", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "AS20", 
-  "reference": "Aspen Petroleum AB, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.26252e+03
-      ], 
-      [
-         2.86000e+00
-      ], 
-      [
-        -1.22673e-02
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         1.35858e+00
-      ], 
-      [
-        -4.17551e-02
-      ], 
-      [
-         8.14818e-05
-      ], 
-      [
-         1.60342e-07
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 3, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/AS30.json b/dev/incompressible_liquids/AS30.json
deleted file mode 100644
index 6ad58f2e..00000000
--- a/dev/incompressible_liquids/AS30.json
+++ /dev/null
@@ -1,92 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  2.73150e+02, 
-  "Tmax":  3.03150e+02, 
-  "Tmin": -30, 
-  "TminPsat":  3.03150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.60388e-01
-      ], 
-      [
-         1.25600e-03
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.18386e+03
-      ], 
-      [
-        -3.10859e-01
-      ], 
-      [
-        -1.03896e-03
-      ], 
-      [
-         1.76768e-05
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Aspen Temper -30, Potassium acetate/formate", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "AS30", 
-  "reference": "Aspen Petroleum AB, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.07504e+03
-      ], 
-      [
-         2.99000e+00
-      ], 
-      [
-        -2.70232e-02
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         1.55518e+00
-      ], 
-      [
-        -4.51874e-02
-      ], 
-      [
-         9.74090e-05
-      ], 
-      [
-         1.86342e-07
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 3, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/AS40.json b/dev/incompressible_liquids/AS40.json
deleted file mode 100644
index 7698f374..00000000
--- a/dev/incompressible_liquids/AS40.json
+++ /dev/null
@@ -1,92 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  2.73150e+02, 
-  "Tmax":  3.03150e+02, 
-  "Tmin": -40, 
-  "TminPsat":  3.03150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.43327e-01
-      ], 
-      [
-         1.09900e-03
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.21484e+03
-      ], 
-      [
-        -3.78199e-01
-      ], 
-      [
-        -1.09307e-03
-      ], 
-      [
-         1.68350e-05
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Aspen Temper -40, Potassium acetate/formate", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "AS40", 
-  "reference": "Aspen Petroleum AB, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         2.97788e+03
-      ], 
-      [
-         2.28000e+00
-      ], 
-      [
-        -3.87227e-02
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         1.73307e+00
-      ], 
-      [
-        -5.42737e-02
-      ], 
-      [
-         2.78602e-04
-      ], 
-      [
-         4.99909e-07
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 3, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/AS55.json b/dev/incompressible_liquids/AS55.json
deleted file mode 100644
index 3711e17e..00000000
--- a/dev/incompressible_liquids/AS55.json
+++ /dev/null
@@ -1,95 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  2.73150e+02, 
-  "Tmax":  3.03150e+02, 
-  "Tmin": -55, 
-  "TminPsat":  3.03150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.25799e-01
-      ], 
-      [
-         9.37902e-04
-      ], 
-      [
-         2.28700e-06
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.24975e+03
-      ], 
-      [
-        -4.76296e-01
-      ], 
-      [
-        -1.17189e-03
-      ], 
-      [
-         1.98824e-05
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Aspen Temper -55, Potassium acetate/formate", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "AS55", 
-  "reference": "Aspen Petroleum AB, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         2.83985e+03
-      ], 
-      [
-         2.29000e+00
-      ], 
-      [
-        -2.48618e-02
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         1.79891e+00
-      ], 
-      [
-        -6.30089e-02
-      ], 
-      [
-         4.30552e-04
-      ], 
-      [
-         7.31131e-07
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 3, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/CPIncomp/BaseObjects.py b/dev/incompressible_liquids/CPIncomp/BaseObjects.py
index e33b2e30..ec64c73f 100644
--- a/dev/incompressible_liquids/CPIncomp/BaseObjects.py
+++ b/dev/incompressible_liquids/CPIncomp/BaseObjects.py
@@ -2,6 +2,7 @@ from __future__ import division, print_function
 import numpy as np
 from scipy.optimize._minimize import minimize
 from scipy.optimize.minpack import curve_fit
+import sys
 
 # Here we define the types. This is done to keep the definitions at one
 # central place instead of hiding them somewhere in the data.
@@ -15,11 +16,17 @@ class IncompressibleData(object):
     def __init__(self):
         self.INCOMPRESSIBLE_NOT_SET       = 'notdefined'
         self.INCOMPRESSIBLE_POLYNOMIAL    = 'polynomial'
-        self.INCOMPRESSIBLE_EXPONENTIAL   = 'exponential'
         self.INCOMPRESSIBLE_EXPPOLYNOMIAL = 'exppolynomial'
-        self.INCOMPRESSIBLE_EXPOFFSET     = 'expoffset'
+        self.INCOMPRESSIBLE_EXPONENTIAL   = 'exponential'
         self.INCOMPRESSIBLE_POLYOFFSET    = 'polyoffset'
         self.INCOMPRESSIBLE_CHEBYSHEV     = 'chebyshev'
+        
+        self.SOURCE_DATA     = 'data'
+        self.SOURCE_EQUATION = 'equation'
+        self.SOURCE_COEFFS   = 'coefficients'
+        self.SOURCE_NOT_SET  = 'notdefined'
+        
+        self.source = self.SOURCE_NOT_SET
         self.type   = self.INCOMPRESSIBLE_NOT_SET
         self.coeffs = None #np.zeros((4,4))
         self.data   = None # None #np.zeros((10,10))
@@ -39,20 +46,16 @@ class IncompressibleData(object):
             return np.polynomial.polynomial.polyval2d(x-xbase, y-ybase, c)
         
         elif self.type==self.INCOMPRESSIBLE_POLYOFFSET:
-            if y!=0.0: raise ValueError("This is 1D only, use x not y.")
+            #if y!=0.0: raise ValueError("This is 1D only, use x not y.")
             return self.basePolyOffset(c, x) # offset included in coeffs
         
         elif self.type==self.INCOMPRESSIBLE_EXPONENTIAL:
-            if y!=0.0: raise ValueError("This is 1D only, use x not y.")
-            return self.baseExponential(c, x-xbase)
+            #if y!=0.0: raise ValueError("This is 1D only, use x not y.")
+            return self.baseExponential(c, x)
         
         elif self.type==self.INCOMPRESSIBLE_EXPPOLYNOMIAL:
             return np.exp(np.polynomial.polynomial.polyval2d(x-xbase, y-ybase, c))
         
-        elif self.type==self.INCOMPRESSIBLE_EXPOFFSET:
-            if y!=0.0: raise ValueError("This is 1D only, use x not y.")
-            return self.baseExponentialOffset(c, x-xbase)
-        
         else:
             raise ValueError("Unknown function: {0}.".format(self.type))
 
@@ -63,15 +66,6 @@ class IncompressibleData(object):
             raise ValueError("You have to provide a 3,1 matrix of coefficients, not ({0},{1}).".format(r,c))
         coeffs_tmp = np.array(coeffs.flat)
         return np.exp(np.clip( (coeffs_tmp[0]/ ( x+coeffs_tmp[1] ) - coeffs_tmp[2]),self.minLog,self.maxLog))
-    
-    
-    def baseExponentialOffset(self, c, x):
-        raise ValueError("Function not implemented.")
-        r,c,coeffs = self.shapeArray(c)
-        if not ( (r==4 and c==1) or (r==1 and c==4) ):
-            raise ValueError("You have to provide a 4,1 matrix of coefficients, not ({0},{1}).".format(r,c))
-        coeffs_tmp = np.array(coeffs.flat)
-        return np.exp(np.clip( (coeffs_tmp[1]/ ( x-coeffs_tmp[0]+coeffs_tmp[2]) - coeffs_tmp[3]),self.minLog,self.maxLog))
 
 
     def basePolyOffset(self, co, x):
@@ -79,7 +73,7 @@ class IncompressibleData(object):
         if not ( c==1 or r==1 ):
             raise ValueError("You have to provide a 1D vector of coefficients, not ({0},{1}).".format(r,c))
         offset = coeffs[0][0]
-        coeffs = np.array(coeffs.flat)[1:c]
+        coeffs = np.array(coeffs.flat)[1:]
         return np.polynomial.polynomial.polyval(x-offset, coeffs)
     
 
@@ -138,30 +132,36 @@ class IncompressibleData(object):
         if (yr!=1): raise ValueError("The second input has to be a 2D array with one row.")
         if (xr!=dr): raise ValueError("First independent vector and result vector have to have the same number of rows, {0} is not {1}.".format(xr,dr))
         if (yc!=dc): raise ValueError("Second independent vector and result vector have to have the same number of columns, {0} is not {1}.".format(yc,dc))
-        
-        cr,cc,_ = self.shapeArray(self.coeffs)
-        if self.DEBUG: print("Coefficients: ({0},{1})".format(cr,cc))
-        if (xr==1 and xc==1 and cr>1):
-            if self.DEBUG: print("Discarding coefficient rows, {0} -> {1}".format(cr,xr))
-            self.coeffs = self.coeffs[0]
-            self.coeffs = self.coeffs.reshape((1,cc))
-        if (yr==1 and yc==1 and cc>1):
-            if self.DEBUG: print("Discarding coefficient columns, {0} -> {1}".format(cc,yc))
-            self.coeffs = self.coeffs.T[0]
-            self.coeffs = self.coeffs.reshape((cr,1))
-        cr,cc,_ = self.shapeArray(self.coeffs)
-                
+                        
         if self.DEBUG: print("Coefficients before fitting: \n{0}".format(self.coeffs))
         
         # Polynomial fitting works for both 1D and 2D functions
         if self.type==self.INCOMPRESSIBLE_POLYNOMIAL or self.type==self.INCOMPRESSIBLE_EXPPOLYNOMIAL:
+            
+            cr,cc,_ = self.shapeArray(self.coeffs)
+            if self.DEBUG: print("Coefficients: ({0},{1})".format(cr,cc))
+            if (xr==1 and xc==1 and cr>1):
+                if self.DEBUG: print("Discarding coefficient rows, {0} -> {1}".format(cr,xr))
+                self.coeffs = self.coeffs[0]
+                self.coeffs = self.coeffs.reshape((1,cc))
+            if (yr==1 and yc==1 and cc>1):
+                if self.DEBUG: print("Discarding coefficient columns, {0} -> {1}".format(cc,yc))
+                self.coeffs = self.coeffs.T[0]
+                self.coeffs = self.coeffs.reshape((cr,1))
+            cr,cc,_ = self.shapeArray(self.coeffs)
+            
             if self.DEBUG: print("polynomial detected, fitting {0}".format(self.type))
             if cr==1 and cc==1: 
                 if self.DEBUG: print("No coefficients left to fit, aborting procedure.")
                 self.coeffs = np.array([[0.0]])
                 return
-            if (xr<cr): raise ValueError("Less data points than coefficients in first dimension ({0} < {1}), aborting.".format(xr,cr))
-            if (yc<cc): raise ValueError("Less data points than coefficients in second dimension ({0} < {1}), aborting.".format(yc,cc))
+            if (xr<cr): 
+                if self.DEBUG: print("Less data points than coefficients in first dimension ({0} < {1}), reducing coefficient matrix.".format(xr,cr))
+                self.coeffs = self.coeffs[:xr,:]
+            if (yc<cc): 
+                if self.DEBUG: print("Less data points than coefficients in second dimension ({0} < {1}), reducing coefficient matrix.".format(yc,cc))
+                self.coeffs = self.coeffs[:,:yc]
+            cr,cc,_ = self.shapeArray(self.coeffs)
             x_input = np.array(x.flat)-xbase
             y_input = np.array(y.flat)-ybase
             z_input = np.copy(self.data)
@@ -173,10 +173,15 @@ class IncompressibleData(object):
         
         
         # Select if 1D or 2D fitting
-        if yc==1: # 1D fitting, only one input
-            if self.DEBUG: print("1D function detected, fitting {0}".format(self.type))      
-            x_input = x-xbase
-            self.coeffs = self.getCoeffsIterative1D(x_input, coeffs_start=None)
+        if yc==1 or xr==1: # 1D fitting, only one input
+            if self.DEBUG: print("1D function detected.")
+            if yc==1: 
+                if self.DEBUG: print("Fitting {0} in x-direction.".format(self.type))
+                self.coeffs = self.getCoeffsIterative1D(x, coeffs_start=None)
+            elif xr==1: 
+                if self.DEBUG: print("Fitting {0} in y-direction.".format(self.type))
+                self.coeffs = self.getCoeffsIterative1D(y, coeffs_start=None)
+            else: raise ValueError("Unknown error in matrix shapes.")    
             if self.DEBUG: print("Coefficients after fitting: \n{0}".format(self.coeffs))
             return 
 
@@ -255,7 +260,7 @@ class IncompressibleData(object):
         C = np.zeros((x_order,y_order))
         for i, (xi,yi) in enumerate(xy_exp): # makes columns
             C[xi][yi] = coeffs[i]
-            
+        
         return C
     
     
@@ -264,10 +269,6 @@ class IncompressibleData(object):
         #fit = "BFGS" # use Broyden-Fletcher-Goldfarb-Shanno
         #fit = "LMA" # use the Levenberg-Marquardt algorithm from curve_fit 
         fit  = ["LMA","Powell","BFGS"] # First try LMA, use others as fall-back
-
-        # Basic settings to keep track of our efforts
-        success = False
-        counter = -1
         
         if coeffs_start==None and \
           self.coeffs!=None:
@@ -280,8 +281,7 @@ class IncompressibleData(object):
         
         expLog = False
         # Preprocess the exponential data
-        if (self.type==self.INCOMPRESSIBLE_EXPONENTIAL) or \
-           (self.type==self.INCOMPRESSIBLE_EXPOFFSET) :
+        if (self.type==self.INCOMPRESSIBLE_EXPONENTIAL):
             expLog = True
         
         xData = np.array(xData.flat)
@@ -290,6 +290,11 @@ class IncompressibleData(object):
         else:
             yData = np.array(self.data.flat)
             
+        # Remove np.nan elements
+        mask = np.isfinite(yData)
+        xData = xData[mask]
+        yData = yData[mask]
+            
         # The residual function            
         def fun(coefficients,xArray,yArray):
             """ 
@@ -298,6 +303,7 @@ class IncompressibleData(object):
             the sum of the squared residuals if yArray is not
             equal to None
             """
+            # No offset and no Tbase etc for 1D functions!
             calculated = self.baseFunction(xArray, 0.0, 0.0, 0.0, coefficients)
             if expLog: calculated = np.log(calculated)
             if yArray==None: return calculated
@@ -305,12 +311,14 @@ class IncompressibleData(object):
             res        = np.sum(np.square(calculated-data))           
             return res
         
-        # Loop through the list of algorithms
+        # Loop through the list of algorithms with basic settings to keep track of our efforts
+        success   = False
+        counter   = 0
+        tolerance = 1e-16
         while (not success):
-            counter += 1
-            
+            algorithm = fit[counter]
             #fit = "LMA" # use the Levenberg-Marquardt algorithm from curve_fit 
-            if fit[counter]=="LMA": 
+            if algorithm=="LMA": 
                 
                 def func(xVector, *coefficients):
                     return fun(np.array(coefficients), xVector, None)
@@ -319,9 +327,10 @@ class IncompressibleData(object):
                 try:
                     #print func(xData, coeffs_start)
                     # Do the actual fitting
-                    popt, pcov = curve_fit(func, xData, yData, p0=coeffs_start)                    
+                    popt, pcov = curve_fit(func, xData, yData, p0=coeffs_start, ftol=tolerance)
                     if np.any(popt!=coeffs_start):
                         success = True
+                        if self.DEBUG: print("Fit succeeded with: {0}".format(algorithm))
 #                        print "Fit succeeded for "+fit[counter]+": "
 #                        print "data: {0}, func: {1}".format(yData[ 2],func(xData[ 2], popt))
 #                        print "data: {0}, func: {1}".format(yData[ 6],func(xData[ 6], popt))
@@ -329,46 +338,57 @@ class IncompressibleData(object):
                         if self.DEBUG: print("Estimated covariance of parameters: ".format(pcov))
                         return popt
                     else:
-                        print("Fit failed for "+fit[counter]+": ")
+                        print("Fit failed for {0}.".format(algorithm))
+                        sys.stdout.flush()
                         success = False 
                     
                 except RuntimeError as e:
-                    print("Exception using "+fit[counter]+": "+str(e))
-                    print("Using "+str(fit[counter+1])+" as a fall-back.")
+                    print("Exception using "+algorithm+": "+str(e))
+                    sys.stdout.flush()
                     success = False
         
             #fit = "MIN" # use a home-made minimisation with Powell and Broyden-Fletcher-Goldfarb-Shanno
-            elif fit[counter]=="Powell" or fit[counter]=="BFGS":
+            elif algorithm=="Powell" or algorithm=="BFGS":
                 
                 arguments  = (xData,yData)
                 #options    = {'maxiter': 1e2, 'maxfev': 1e5}
                 
-                tolStart   = 1e-13
-                tol        = tolStart
-                res = minimize(fun, coeffs_start, method=fit[counter], args=arguments, tol=tol)
-                
-                while ((not res.success) and tol<1e-6):
-                    tol *= 1e2
-                    print("Fit did not succeed, reducing tolerance to "+str(tol))
-                    res = minimize(fun, coeffs_start, method=fit[counter], args=arguments, tol=tol)
-                
-                # Include these lines for an additional fit with new guess values. 
-                #if res.success and tol>tolStart:
-                #    print "Refitting with new guesses and original tolerance of "+str(tolStart)
-                #    res = minimize(fun, res.x, method=method, args=arguments, tol=tolStart)
-                
-                if res.success:
-                    success = True
-                    return res.x
-                else:
-                    print("Fit failed for "+fit[counter]+": ")
-                    print("Using "+str(fit[counter+1])+" as a fall-back.")
-                    print(res)
+                try:
+                    res = minimize(fun, coeffs_start, method=algorithm, args=arguments, tol=tolerance)
+                    if res.success:
+                        success = True
+                        if self.DEBUG: print("Fit succeeded with: {0}".format(algorithm))
+                        return res.x
+                    else:
+                        print("Fit failed for {0}.".format(algorithm))
+                        sys.stdout.flush()
+                        success = False
+                except RuntimeError as e:
+                    print("Exception using "+algorithm+": "+str(e))
+                    sys.stdout.flush()
                     success = False
-                    
+
             # Something went wrong, probably a typo in the algorithm selector
             else:
                 raise (ValueError("Error: You used an unknown fit method."))
+                
+            if counter<len(fit)-1:
+                #print("Fit did not succeed with {0}, reducing tolerance to {1}.".format(algorithm,tol))
+                success = False
+                counter += 1
+            elif tolerance<1e-6:
+                tolerance *= 1e2
+                print("Fit did not succeed, reducing tolerance to {0}.".format(tolerance))
+                success = False
+                counter = 0                
+            else:
+                print("--------------------------------------------------------------")
+                print("Fit failed for {0}. ".format(fit))
+                print("--------------------------------------------------------------")
+                return False 
+            
+                    
+
         
         
         
diff --git a/dev/incompressible_liquids/CPIncomp/CoefficientFluids.py b/dev/incompressible_liquids/CPIncomp/CoefficientFluids.py
index 651e00e6..b26193c6 100644
--- a/dev/incompressible_liquids/CPIncomp/CoefficientFluids.py
+++ b/dev/incompressible_liquids/CPIncomp/CoefficientFluids.py
@@ -24,13 +24,19 @@ class NitrateSalt(PureData,CoefficientData):
         #self.concentration.data       = np.array([     0 ]) # mass fraction
         
         self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
+        self.density.source = self.density.SOURCE_COEFFS
         self.density.coeffs = np.array([[2090],[-0.636]])
         
         self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
+        self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
         self.specific_heat.coeffs = np.array([[1443],[+0.172]])
 
         self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
+        self.conductivity.source = self.conductivity.SOURCE_COEFFS
         self.conductivity.coeffs = np.array([[0.443],[+1.9e-4]])
 
         self.viscosity.type = self.viscosity.INCOMPRESSIBLE_POLYNOMIAL
-        self.viscosity.coeffs = np.array([[22.714],[-0.120],[2.281  * 1e-4],[-1.474 * 1e-7]])/1e3
\ No newline at end of file
+        self.viscosity.source = self.viscosity.SOURCE_COEFFS
+        self.viscosity.coeffs = np.array([[22.714],[-0.120],[2.281  * 1e-4],[-1.474 * 1e-7]])/1e3
+        
+        
\ No newline at end of file
diff --git a/dev/incompressible_liquids/CPIncomp/DataObjects.py b/dev/incompressible_liquids/CPIncomp/DataObjects.py
index 8f301809..95b69790 100644
--- a/dev/incompressible_liquids/CPIncomp/DataObjects.py
+++ b/dev/incompressible_liquids/CPIncomp/DataObjects.py
@@ -13,11 +13,11 @@ class SolutionData(object):
     """
     __metaclass__ = ABCMeta
     def __init__(self):
-        self.ifrac_mass      = 0
-        self.ifrac_mole      = 1
-        self.ifrac_volume    = 2
-        self.ifrac_undefined = 3
-        self.ifrac_pure      = 4
+        self.ifrac_mass      = "mass"
+        self.ifrac_mole      = "mole"
+        self.ifrac_volume    = "volume"
+        self.ifrac_undefined = "not defined"
+        self.ifrac_pure      = "pure"
         
         self.significantDigits = 6
         
@@ -145,11 +145,32 @@ class SolutionData(object):
     def cond(self, T, p=0.0, x=0.0, c=None):
         return self.conductivity.baseFunction(T, x, self.Tbase, self.xbase, c=c)
         
-    def psat(self, T,        x=0.0, c=None):
+    def    psat(self, T, p=0.0, x=0.0, c=None):
         return self.saturation_pressure.baseFunction(T, x, self.Tbase, self.xbase, c=c)
         
-    def Tfreeze(self, p=0.0, x=0.0, c=None):
-        return self.T_freeze.baseFunction(x, 0.0, self.xbase, 0.0, c=c)
+    def Tfreeze(self, T, p=0.0, x=0.0, c=None):
+        if c==None:
+            c = self.T_freeze.coeffs
+
+        if self.T_freeze.type==self.T_freeze.INCOMPRESSIBLE_POLYNOMIAL:
+            return np.polynomial.polynomial.polyval2d(p-0.0, x-self.xbase, c)
+        
+        elif self.T_freeze.type==self.T_freeze.INCOMPRESSIBLE_POLYOFFSET:
+            #if y!=0.0: raise ValueError("This is 1D only, use x not y.")
+            return self.T_freeze.basePolyOffset(c, x) # offset included in coeffs
+        
+        elif self.T_freeze.type==self.T_freeze.INCOMPRESSIBLE_EXPONENTIAL:
+            #if y!=0.0: raise ValueError("This is 1D only, use x not y.")
+            return self.T_freeze.baseExponential(c, x)
+        
+        elif self.T_freeze.type==self.T_freeze.INCOMPRESSIBLE_EXPPOLYNOMIAL:
+            return np.exp(np.polynomial.polynomial.polyval2d(p-0.0, x-self.xbase, c))
+        
+        else:
+            raise ValueError("Unknown function: {0}.".format(self.type))
+  
+    
+    
     
     #def V2M (T,           y);
     #def M2M (T,           x);
@@ -371,7 +392,7 @@ class CoefficientData(SolutionData):
         
         # Concentration is no longer handled in per cent!
         for i in range(6):
-            tmp.T[i] *= 100.0**i 
+            tmp.T[i] *= 100.0**i
                 
         return tmp
     
@@ -487,20 +508,33 @@ class CoefficientData(SolutionData):
         
         coeffs = self.convertMelinderMatrix(matrix).T
         
-        self.T_freeze.type = self.T_freeze.INCOMPRESSIBLE_POLYNOMIAL
+        self.T_freeze.source = self.T_freeze.SOURCE_COEFFS
+        self.T_freeze.type   = self.T_freeze.INCOMPRESSIBLE_POLYNOMIAL
         self.T_freeze.coeffs = self.convertMelinderArray(coeffs[0])
+        self.T_freeze.coeffs[0,0] += 273.15
+        #print(self.T_freeze.coeffs)
         
+        self.density.source           = self.density.SOURCE_COEFFS
         self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
         self.density.coeffs = self.convertMelinderArray(coeffs[1])
         
+        self.specific_heat.source     = self.specific_heat.SOURCE_COEFFS
         self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
         self.specific_heat.coeffs = self.convertMelinderArray(coeffs[2])
         
+        self.conductivity.source      = self.conductivity.SOURCE_COEFFS
         self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
         self.conductivity.coeffs = self.convertMelinderArray(coeffs[3])
         
+        self.viscosity.source         = self.viscosity.SOURCE_COEFFS
         self.viscosity.type = self.viscosity.INCOMPRESSIBLE_POLYNOMIAL
         self.viscosity.coeffs = self.convertMelinderArray(coeffs[4])
+        
+        
+        
+        
+        
+        
     
     
     
diff --git a/dev/incompressible_liquids/CPIncomp/DigitalFluids.py b/dev/incompressible_liquids/CPIncomp/DigitalFluids.py
index 90e38513..57d3b17c 100644
--- a/dev/incompressible_liquids/CPIncomp/DigitalFluids.py
+++ b/dev/incompressible_liquids/CPIncomp/DigitalFluids.py
@@ -49,14 +49,17 @@ class LiBrData(DigitalData):
         def funcD(T,x):
             return CP.PropsSI(key,'T',T,'P',1e8,self.name+"-{0:.4f}%".format(x*100.0))
         self.density.data = self.getArray(funcD,key)
+        self.density.source           = self.density.SOURCE_EQUATION
         
         key = 'C'
         def funcC(T,x):
             return CP.PropsSI(key,'T',T,'P',1e8,self.name+"-{0:.4f}%".format(x*100.0))
         self.specific_heat.data = self.getArray(funcC,key)
+        self.specific_heat.source     = self.specific_heat.SOURCE_EQUATION
         
         key = 'Psat'
         def funcP(T,x):
             return CP.PropsSI(key,'T',T,'P',1e8,self.name+"-{0:.4f}%".format(x*100.0))
-        self.saturation_pressure.data = self.getArray(funcP,key)
+        self.saturation_pressure.data   = self.getArray(funcP,key)
+        self.saturation_pressure.source = self.saturation_pressure.SOURCE_EQUATION
 
diff --git a/dev/incompressible_liquids/CPIncomp/ExampleObjects.py b/dev/incompressible_liquids/CPIncomp/ExampleObjects.py
index 1e7a61d9..f13d3a1d 100644
--- a/dev/incompressible_liquids/CPIncomp/ExampleObjects.py
+++ b/dev/incompressible_liquids/CPIncomp/ExampleObjects.py
@@ -13,6 +13,12 @@ class PureExample(PureData):
         self.Tmin =  50 + 273.15
         self.TminPsat =  self.Tmax
         
+        self.density.source           = self.density.SOURCE_DATA
+        self.specific_heat.source     = self.specific_heat.SOURCE_DATA
+        self.conductivity.source      = self.conductivity.SOURCE_DATA
+        self.viscosity.source         = self.viscosity.SOURCE_DATA
+        self.saturation_pressure.source = self.saturation_pressure.SOURCE_DATA
+        
         self.temperature.data         = np.array([   50,   60,    70,     80,    90,   100,   110,   120,   130,   140,   150])+273.15 # Kelvin
         self.density.data             = np.array([  740,   733,   726,   717,   710,   702,   695,   687,   679,   670,   662])        # kg/m3
         self.specific_heat.data       = np.array([ 2235,  2280,  2326,  2361,  2406,  2445,  2485,  2528,  2571,  2607,  2645])        # J/kg-K
@@ -44,6 +50,9 @@ class SolutionExample(SolutionData):
         
         self.specific_heat.data = np.copy(self.density.data)
         
+        self.density.source           = self.density.SOURCE_DATA
+        self.specific_heat.source     = self.specific_heat.SOURCE_DATA
+        
         self.Tmax = np.max(self.temperature.data)
         self.Tmin = np.min(self.temperature.data)
         self.xmax = np.max(self.concentration.data)
@@ -78,6 +87,9 @@ class DigitalExample(DigitalData):
             return T + x*50.0 + T*(x+0.6)
         self.specific_heat.data             = self.getArray(funcCp,"cp")
         
+        self.density.source           = self.density.SOURCE_EQUATION
+        self.specific_heat.source     = self.specific_heat.SOURCE_EQUATION
+        
 
 class SecCoolExample(CoefficientData):
     """ 
@@ -186,12 +198,18 @@ class SecCoolExample(CoefficientData):
            4.482000E-09]))
 
         self.T_freeze.type = self.T_freeze.INCOMPRESSIBLE_POLYOFFSET
-        self.T_freeze.coeffs = self.convertSecCoolTfreeze(np.array([
-           27.755555600,
-          -22.973221700, 
-          -1.1040507200, 
-          -0.0120762281, 
-          -9.343458E-05]))
+        self.T_freeze.coeffs = np.array([
+           27.755555600/100.0,
+          -22.973221700+273.15, 
+          -1.1040507200*100.0, 
+          -0.0120762281*100.0*100.0, 
+          -9.343458E-05*100.0*100.0*100.0])
+        
+        self.density.source           = self.density.SOURCE_COEFFS
+        self.specific_heat.source     = self.specific_heat.SOURCE_COEFFS
+        self.conductivity.source      = self.conductivity.SOURCE_COEFFS
+        self.viscosity.source         = self.viscosity.SOURCE_COEFFS
+        self.T_freeze.source          = self.T_freeze.SOURCE_COEFFS
         
         
 class MelinderExample(CoefficientData):
diff --git a/dev/incompressible_liquids/CPIncomp/MelinderFluids.py b/dev/incompressible_liquids/CPIncomp/MelinderFluids.py
index 6e764fe5..7738b157 100644
--- a/dev/incompressible_liquids/CPIncomp/MelinderFluids.py
+++ b/dev/incompressible_liquids/CPIncomp/MelinderFluids.py
@@ -29,6 +29,11 @@ class DEBLiquidClass(CoefficientData,PureData):
 
         self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
         _,_,self.conductivity.coeffs = self.conductivity.shapeArray(np.array([0.000189132,-2.06364e-07]))
+        
+        self.density.source           = self.density.SOURCE_COEFFS
+        self.specific_heat.source     = self.specific_heat.SOURCE_COEFFS
+        self.conductivity.source      = self.conductivity.SOURCE_COEFFS
+        self.viscosity.source         = self.viscosity.SOURCE_COEFFS
 
 
 class HCMLiquidClass(CoefficientData,PureData):
@@ -57,6 +62,11 @@ class HCMLiquidClass(CoefficientData,PureData):
 
         self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
         _,_,self.conductivity.coeffs = self.conductivity.shapeArray(np.array([0.000153716,-1.51212e-07]))
+        
+        self.density.source           = self.density.SOURCE_COEFFS
+        self.specific_heat.source     = self.specific_heat.SOURCE_COEFFS
+        self.conductivity.source      = self.conductivity.SOURCE_COEFFS
+        self.viscosity.source         = self.viscosity.SOURCE_COEFFS
 
 
 class HFELiquidClass(CoefficientData,PureData):
@@ -85,6 +95,11 @@ class HFELiquidClass(CoefficientData,PureData):
 
         self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
         _,_,self.conductivity.coeffs = self.conductivity.shapeArray(np.array([9.92958e-05,-8.33333e-08]))
+        
+        self.density.source           = self.density.SOURCE_COEFFS
+        self.specific_heat.source     = self.specific_heat.SOURCE_COEFFS
+        self.conductivity.source      = self.conductivity.SOURCE_COEFFS
+        self.viscosity.source         = self.viscosity.SOURCE_COEFFS
 
 
 class PMS1LiquidClass(CoefficientData,PureData):
@@ -113,6 +128,11 @@ class PMS1LiquidClass(CoefficientData,PureData):
 
         self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
         _,_,self.conductivity.coeffs = self.conductivity.shapeArray(np.array([0.000207526,-2.84167e-07]))
+        
+        self.density.source           = self.density.SOURCE_COEFFS
+        self.specific_heat.source     = self.specific_heat.SOURCE_COEFFS
+        self.conductivity.source      = self.conductivity.SOURCE_COEFFS
+        self.viscosity.source         = self.viscosity.SOURCE_COEFFS
 
 
 class PMS2LiquidClass(CoefficientData,PureData):
@@ -141,6 +161,11 @@ class PMS2LiquidClass(CoefficientData,PureData):
 
         self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
         _,_,self.conductivity.coeffs = self.conductivity.shapeArray(np.array([0.000172305,-2.11212e-07]))
+        
+        self.density.source           = self.density.SOURCE_COEFFS
+        self.specific_heat.source     = self.specific_heat.SOURCE_COEFFS
+        self.conductivity.source      = self.conductivity.SOURCE_COEFFS
+        self.viscosity.source         = self.viscosity.SOURCE_COEFFS
 
 
 class SABLiquidClass(CoefficientData,PureData):
@@ -169,6 +194,11 @@ class SABLiquidClass(CoefficientData,PureData):
 
         self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
         _,_,self.conductivity.coeffs = self.conductivity.shapeArray(np.array([0.000208374,-2.61667e-07]))
+        
+        self.density.source           = self.density.SOURCE_COEFFS
+        self.specific_heat.source     = self.specific_heat.SOURCE_COEFFS
+        self.conductivity.source      = self.conductivity.SOURCE_COEFFS
+        self.viscosity.source         = self.viscosity.SOURCE_COEFFS
 
 
 class HCBLiquidClass(CoefficientData,PureData):
@@ -197,6 +227,11 @@ class HCBLiquidClass(CoefficientData,PureData):
 
         self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
         _,_,self.conductivity.coeffs = self.conductivity.shapeArray(np.array([0.000203186,-2.3869e-07]))
+        
+        self.density.source           = self.density.SOURCE_COEFFS
+        self.specific_heat.source     = self.specific_heat.SOURCE_COEFFS
+        self.conductivity.source      = self.conductivity.SOURCE_COEFFS
+        self.viscosity.source         = self.viscosity.SOURCE_COEFFS
 
 
 class TCOLiquidClass(CoefficientData,PureData):
@@ -225,6 +260,11 @@ class TCOLiquidClass(CoefficientData,PureData):
 
         self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
         _,_,self.conductivity.coeffs = self.conductivity.shapeArray(np.array([0.000174156,-1.85052e-07]))
+        
+        self.density.source           = self.density.SOURCE_COEFFS
+        self.specific_heat.source     = self.specific_heat.SOURCE_COEFFS
+        self.conductivity.source      = self.conductivity.SOURCE_COEFFS
+        self.viscosity.source         = self.viscosity.SOURCE_COEFFS
 
 
 
diff --git a/dev/incompressible_liquids/CPIncomp/PureFluids.py b/dev/incompressible_liquids/CPIncomp/PureFluids.py
index 3e8eb16a..f7ebf239 100644
--- a/dev/incompressible_liquids/CPIncomp/PureFluids.py
+++ b/dev/incompressible_liquids/CPIncomp/PureFluids.py
@@ -8,6 +8,11 @@ class TherminolD12(PureData):
     """
     def __init__(self):
         PureData.__init__(self) 
+        self.density.source           = self.density.SOURCE_DATA
+        self.specific_heat.source     = self.specific_heat.SOURCE_DATA
+        self.conductivity.source      = self.conductivity.SOURCE_DATA
+        self.viscosity.source         = self.viscosity.SOURCE_DATA
+        self.saturation_pressure.source = self.saturation_pressure.SOURCE_DATA
         self.temperature.data         = np.array([-8.50000E+1, -8.00000E+1, -7.50000E+1, -7.00000E+1, -6.50000E+1, -6.00000E+1, -5.50000E+1, -5.00000E+1, -4.50000E+1, -4.00000E+1, -3.50000E+1, -3.00000E+1, -2.50000E+1, -2.00000E+1, -1.50000E+1, -1.00000E+1, -5.00000E+0, +0.00000E+0, +5.00000E+0, +1.00000E+1, +1.50000E+1, +2.00000E+1, +2.50000E+1, +3.00000E+1, +3.50000E+1, +4.00000E+1, +4.50000E+1, +5.00000E+1, +5.50000E+1, +6.00000E+1, +6.50000E+1, +7.00000E+1, +7.50000E+1, +8.00000E+1, +8.50000E+1, +9.00000E+1, +9.50000E+1, +1.00000E+2, +1.05000E+2, +1.10000E+2, +1.15000E+2, +1.20000E+2, +1.25000E+2, +1.30000E+2, +1.35000E+2, +1.40000E+2, +1.45000E+2, +1.50000E+2, +1.55000E+2, +1.60000E+2, +1.65000E+2, +1.70000E+2, +1.75000E+2, +1.80000E+2, +1.85000E+2, +1.90000E+2, +1.95000E+2, +2.00000E+2, +2.05000E+2, +2.10000E+2, +2.15000E+2, +2.20000E+2, +2.25000E+2, +2.30000E+2])+273.15  # Kelvin
         self.density.data             = np.array([+8.35000E+2, +8.32000E+2, +8.28000E+2, +8.25000E+2, +8.22000E+2, +8.18000E+2, +8.15000E+2, +8.11000E+2, +8.08000E+2, +8.05000E+2, +8.01000E+2, +7.98000E+2, +7.94000E+2, +7.91000E+2, +7.87000E+2, +7.84000E+2, +7.80000E+2, +7.77000E+2, +7.73000E+2, +7.70000E+2, +7.66000E+2, +7.62000E+2, +7.59000E+2, +7.55000E+2, +7.52000E+2, +7.48000E+2, +7.44000E+2, +7.41000E+2, +7.37000E+2, +7.33000E+2, +7.29000E+2, +7.26000E+2, +7.22000E+2, +7.18000E+2, +7.14000E+2, +7.10000E+2, +7.06000E+2, +7.03000E+2, +6.99000E+2, +6.95000E+2, +6.91000E+2, +6.87000E+2, +6.82000E+2, +6.78000E+2, +6.74000E+2, +6.70000E+2, +6.66000E+2, +6.61000E+2, +6.57000E+2, +6.53000E+2, +6.48000E+2, +6.44000E+2, +6.39000E+2, +6.35000E+2, +6.30000E+2, +6.25000E+2, +6.20000E+2, +6.16000E+2, +6.11000E+2, +6.06000E+2, +6.00000E+2, +5.95000E+2, +5.90000E+2, +5.84000E+2])         # kg/m3
         self.specific_heat.data       = np.array([+1.69400E+0, +1.71200E+0, +1.73100E+0, +1.75000E+0, +1.76800E+0, +1.78700E+0, +1.80600E+0, +1.82400E+0, +1.84300E+0, +1.86200E+0, +1.88100E+0, +1.90000E+0, +1.91900E+0, +1.93800E+0, +1.95700E+0, +1.97700E+0, +1.99600E+0, +2.01500E+0, +2.03500E+0, +2.05400E+0, +2.07300E+0, +2.09300E+0, +2.11300E+0, +2.13200E+0, +2.15200E+0, +2.17200E+0, +2.19100E+0, +2.21100E+0, +2.23100E+0, +2.25100E+0, +2.27100E+0, +2.29100E+0, +2.31200E+0, +2.33200E+0, +2.35200E+0, +2.37300E+0, +2.39300E+0, +2.41400E+0, +2.43400E+0, +2.45500E+0, +2.47600E+0, +2.49600E+0, +2.51700E+0, +2.53800E+0, +2.55900E+0, +2.58000E+0, +2.60200E+0, +2.62300E+0, +2.64400E+0, +2.66600E+0, +2.68700E+0, +2.70900E+0, +2.73100E+0, +2.75300E+0, +2.77500E+0, +2.79700E+0, +2.82000E+0, +2.84200E+0, +2.86500E+0, +2.88800E+0, +2.91100E+0, +2.93500E+0, +2.95900E+0, +2.98300E+0])*1000.   # J/kg-K
@@ -28,6 +33,11 @@ class TherminolVP1(PureData):
     """
     def __init__(self):
         PureData.__init__(self) 
+        self.density.source           = self.density.SOURCE_DATA
+        self.specific_heat.source     = self.specific_heat.SOURCE_DATA
+        self.conductivity.source      = self.conductivity.SOURCE_DATA
+        self.viscosity.source         = self.viscosity.SOURCE_DATA
+        self.saturation_pressure.source = self.saturation_pressure.SOURCE_DATA
         self.temperature.data         = np.array([+1.20000E+1, +1.70000E+1, +2.20000E+1, +2.70000E+1, +3.20000E+1, +3.70000E+1, +4.20000E+1, +4.70000E+1, +5.20000E+1, +5.70000E+1, +6.20000E+1, +6.70000E+1, +7.20000E+1, +7.70000E+1, +8.20000E+1, +8.70000E+1, +9.20000E+1, +9.70000E+1, +1.02000E+2, +1.07000E+2, +1.12000E+2, +1.17000E+2, +1.22000E+2, +1.27000E+2, +1.32000E+2, +1.37000E+2, +1.42000E+2, +1.47000E+2, +1.52000E+2, +1.57000E+2, +1.62000E+2, +1.67000E+2, +1.72000E+2, +1.77000E+2, +1.82000E+2, +1.87000E+2, +1.92000E+2, +1.97000E+2, +2.02000E+2, +2.07000E+2, +2.12000E+2, +2.17000E+2, +2.22000E+2, +2.27000E+2, +2.32000E+2, +2.37000E+2, +2.42000E+2, +2.47000E+2, +2.52000E+2, +2.57000E+2, +2.62000E+2, +2.67000E+2, +2.72000E+2, +2.77000E+2, +2.82000E+2, +2.87000E+2, +2.92000E+2, +2.97000E+2, +3.02000E+2, +3.07000E+2, +3.12000E+2, +3.17000E+2, +3.22000E+2, +3.27000E+2, +3.32000E+2, +3.37000E+2, +3.42000E+2, +3.47000E+2, +3.52000E+2, +3.57000E+2, +3.62000E+2, +3.67000E+2, +3.72000E+2, +3.77000E+2, +3.82000E+2, +3.87000E+2, +3.92000E+2, +3.97000E+2])+273.15  # Kelvin
         self.density.data             = np.array([+1.07000E+3, +1.07000E+3, +1.06000E+3, +1.06000E+3, +1.05000E+3, +1.05000E+3, +1.05000E+3, +1.04000E+3, +1.04000E+3, +1.03000E+3, +1.03000E+3, +1.03000E+3, +1.02000E+3, +1.02000E+3, +1.01000E+3, +1.01000E+3, +1.01000E+3, +1.00000E+3, +9.97000E+2, +9.93000E+2, +9.88000E+2, +9.84000E+2, +9.80000E+2, +9.76000E+2, +9.72000E+2, +9.67000E+2, +9.63000E+2, +9.59000E+2, +9.55000E+2, +9.50000E+2, +9.46000E+2, +9.42000E+2, +9.37000E+2, +9.33000E+2, +9.29000E+2, +9.24000E+2, +9.20000E+2, +9.15000E+2, +9.11000E+2, +9.06000E+2, +9.02000E+2, +8.98000E+2, +8.93000E+2, +8.89000E+2, +8.84000E+2, +8.79000E+2, +8.75000E+2, +8.70000E+2, +8.65000E+2, +8.60000E+2, +8.56000E+2, +8.51000E+2, +8.46000E+2, +8.41000E+2, +8.36000E+2, +8.31000E+2, +8.25000E+2, +8.20000E+2, +8.15000E+2, +8.10000E+2, +8.04000E+2, +7.99000E+2, +7.93000E+2, +7.88000E+2, +7.82000E+2, +7.76000E+2, +7.70000E+2, +7.65000E+2, +7.59000E+2, +7.52000E+2, +7.46000E+2, +7.40000E+2, +7.33000E+2, +7.27000E+2, +7.20000E+2, +7.13000E+2, +7.06000E+2, +6.99000E+2])         # kg/m3
         self.specific_heat.data       = np.array([+1.52300E+0, +1.53700E+0, +1.55200E+0, +1.56600E+0, +1.58100E+0, +1.59600E+0, +1.61000E+0, +1.62400E+0, +1.63900E+0, +1.65300E+0, +1.66800E+0, +1.68200E+0, +1.69600E+0, +1.71000E+0, +1.72400E+0, +1.73900E+0, +1.75300E+0, +1.76700E+0, +1.78100E+0, +1.79500E+0, +1.80900E+0, +1.82200E+0, +1.83600E+0, +1.85000E+0, +1.86400E+0, +1.87800E+0, +1.89100E+0, +1.90500E+0, +1.91900E+0, +1.93200E+0, +1.94600E+0, +1.95900E+0, +1.97300E+0, +1.98600E+0, +2.00000E+0, +2.01300E+0, +2.02700E+0, +2.04000E+0, +2.05400E+0, +2.06700E+0, +2.08000E+0, +2.09300E+0, +2.10700E+0, +2.12000E+0, +2.13300E+0, +2.14700E+0, +2.16000E+0, +2.17300E+0, +2.18600E+0, +2.19900E+0, +2.21300E+0, +2.22600E+0, +2.23900E+0, +2.25200E+0, +2.26600E+0, +2.27900E+0, +2.29300E+0, +2.30600E+0, +2.31900E+0, +2.33300E+0, +2.34700E+0, +2.36000E+0, +2.37400E+0, +2.38800E+0, +2.40200E+0, +2.41600E+0, +2.43100E+0, +2.44600E+0, +2.46000E+0, +2.47600E+0, +2.49100E+0, +2.50700E+0, +2.52300E+0, +2.54000E+0, +2.55800E+0, +2.57600E+0, +2.59500E+0, +2.61500E+0])*1000.   # J/kg-K
@@ -49,6 +59,11 @@ class Therminol66(PureData):
     """
     def __init__(self):
         PureData.__init__(self) 
+        self.density.source           = self.density.SOURCE_DATA
+        self.specific_heat.source     = self.specific_heat.SOURCE_DATA
+        self.conductivity.source      = self.conductivity.SOURCE_DATA
+        self.viscosity.source         = self.viscosity.SOURCE_DATA
+        self.saturation_pressure.source = self.saturation_pressure.SOURCE_DATA
         self.temperature.data         = np.array([2.7315E+02, 2.8315E+02, 2.9315E+02, 3.0315E+02, 3.1315E+02, 3.2315E+02, 3.3315E+02, 3.4315E+02, 3.5315E+02, 3.6315E+02, 3.7315E+02, 3.8315E+02, 3.9315E+02, 4.0315E+02, 4.1315E+02, 4.2315E+02, 4.3315E+02, 4.4315E+02, 4.5315E+02, 4.6315E+02, 4.7315E+02, 4.8315E+02, 4.9315E+02, 5.0315E+02, 5.1315E+02, 5.2315E+02, 5.3315E+02, 5.4315E+02, 5.5315E+02, 5.6315E+02, 5.7315E+02, 5.8315E+02, 5.9315E+02, 6.0315E+02, 6.1315E+02, 6.2315E+02, 6.3315E+02, 6.4315E+02, 6.5315E+02])
         self.density.data             = np.array([1.0215E+03, 1.0149E+03, 1.0084E+03, 1.0018E+03, 9.9520E+02, 9.8860E+02, 9.8190E+02, 9.7520E+02, 9.6850E+02, 9.6180E+02, 9.5500E+02, 9.4820E+02, 9.4140E+02, 9.3450E+02, 9.2760E+02, 9.2060E+02, 9.1360E+02, 9.0660E+02, 8.9950E+02, 8.9230E+02, 8.8510E+02, 8.7780E+02, 8.7040E+02, 8.6300E+02, 8.5550E+02, 8.4790E+02, 8.4030E+02, 8.3250E+02, 8.2460E+02, 8.1660E+02, 8.0850E+02, 8.0030E+02, 7.9200E+02, 7.8350E+02, 7.7480E+02, 7.6590E+02, 7.5690E+02, 7.4770E+02, 7.3820E+02])
         self.specific_heat.data       = np.array([1.4950E+03, 1.5290E+03, 1.5620E+03, 1.5960E+03, 1.6300E+03, 1.6650E+03, 1.6990E+03, 1.7330E+03, 1.7680E+03, 1.8030E+03, 1.8370E+03, 1.8730E+03, 1.9080E+03, 1.9430E+03, 1.9780E+03, 2.0140E+03, 2.0500E+03, 2.0860E+03, 2.1220E+03, 2.1580E+03, 2.1950E+03, 2.2310E+03, 2.2680E+03, 2.3050E+03, 2.3420E+03, 2.3790E+03, 2.4170E+03, 2.4550E+03, 2.4920E+03, 2.5310E+03, 2.5690E+03, 2.6080E+03, 2.6470E+03, 2.6860E+03, 2.7260E+03, 2.7660E+03, 2.8060E+03, 2.8470E+03, 2.8890E+03])
@@ -70,6 +85,11 @@ class Therminol72(PureData):
     """
     def __init__(self):
         PureData.__init__(self) 
+        self.density.source           = self.density.SOURCE_DATA
+        self.specific_heat.source     = self.specific_heat.SOURCE_DATA
+        self.conductivity.source      = self.conductivity.SOURCE_DATA
+        self.viscosity.source         = self.viscosity.SOURCE_DATA
+        self.saturation_pressure.source = self.saturation_pressure.SOURCE_DATA
         self.temperature.data         = np.array([-1.00000E+1, -5.00000E+0, +0.00000E+0, +5.00000E+0, +1.00000E+1, +1.50000E+1, +2.00000E+1, +2.50000E+1, +3.00000E+1, +3.50000E+1, +4.00000E+1, +4.50000E+1, +5.00000E+1, +5.50000E+1, +6.00000E+1, +6.50000E+1, +7.00000E+1, +7.50000E+1, +8.00000E+1, +8.50000E+1, +9.00000E+1, +9.50000E+1, +1.00000E+2, +1.05000E+2, +1.10000E+2, +1.15000E+2, +1.20000E+2, +1.25000E+2, +1.30000E+2, +1.35000E+2, +1.40000E+2, +1.45000E+2, +1.50000E+2, +1.55000E+2, +1.60000E+2, +1.65000E+2, +1.70000E+2, +1.75000E+2, +1.80000E+2, +1.85000E+2, +1.90000E+2, +1.95000E+2, +2.00000E+2, +2.05000E+2, +2.10000E+2, +2.15000E+2, +2.20000E+2, +2.25000E+2, +2.30000E+2, +2.35000E+2, +2.40000E+2, +2.45000E+2, +2.50000E+2, +2.55000E+2, +2.60000E+2, +2.65000E+2, +2.70000E+2, +2.75000E+2, +2.80000E+2, +2.85000E+2, +2.90000E+2, +2.95000E+2, +3.00000E+2, +3.05000E+2, +3.10000E+2, +3.15000E+2, +3.20000E+2, +3.25000E+2, +3.30000E+2, +3.35000E+2, +3.40000E+2, +3.45000E+2, +3.50000E+2, +3.55000E+2, +3.60000E+2, +3.65000E+2, +3.70000E+2, +3.75000E+2, +3.80000E+2])+273.15  # Kelvin
         self.density.data             = np.array([+1.11000E+3, +1.10000E+3, +1.10000E+3, +1.09000E+3, +1.09000E+3, +1.08000E+3, +1.08000E+3, +1.07000E+3, +1.07000E+3, +1.07000E+3, +1.06000E+3, +1.06000E+3, +1.05000E+3, +1.05000E+3, +1.04000E+3, +1.04000E+3, +1.03000E+3, +1.03000E+3, +1.02000E+3, +1.02000E+3, +1.02000E+3, +1.01000E+3, +1.01000E+3, +1.00000E+3, +9.97000E+2, +9.93000E+2, +9.88000E+2, +9.84000E+2, +9.79000E+2, +9.74000E+2, +9.70000E+2, +9.65000E+2, +9.61000E+2, +9.56000E+2, +9.52000E+2, +9.47000E+2, +9.43000E+2, +9.38000E+2, +9.34000E+2, +9.29000E+2, +9.25000E+2, +9.20000E+2, +9.16000E+2, +9.11000E+2, +9.06000E+2, +9.02000E+2, +8.98000E+2, +8.93000E+2, +8.89000E+2, +8.84000E+2, +8.80000E+2, +8.75000E+2, +8.71000E+2, +8.66000E+2, +8.62000E+2, +8.57000E+2, +8.53000E+2, +8.48000E+2, +8.44000E+2, +8.39000E+2, +8.34000E+2, +8.30000E+2, +8.25000E+2, +8.21000E+2, +8.16000E+2, +8.12000E+2, +8.07000E+2, +8.03000E+2, +7.98000E+2, +7.94000E+2, +7.89000E+2, +7.85000E+2, +7.80000E+2, +7.76000E+2, +7.71000E+2, +7.66000E+2, +7.62000E+2, +7.57000E+2, +7.53000E+2])         # kg/m3
         self.specific_heat.data       = np.array([+1.47100E+0, +1.48400E+0, +1.49800E+0, +1.51200E+0, +1.52500E+0, +1.53900E+0, +1.55200E+0, +1.56600E+0, +1.57900E+0, +1.59300E+0, +1.60600E+0, +1.62000E+0, +1.63400E+0, +1.64700E+0, +1.66100E+0, +1.67400E+0, +1.68800E+0, +1.70100E+0, +1.71500E+0, +1.72800E+0, +1.74200E+0, +1.75500E+0, +1.76900E+0, +1.78300E+0, +1.79600E+0, +1.81000E+0, +1.82300E+0, +1.83700E+0, +1.85000E+0, +1.86400E+0, +1.87700E+0, +1.89100E+0, +1.90500E+0, +1.91800E+0, +1.93200E+0, +1.94500E+0, +1.95900E+0, +1.97200E+0, +1.98600E+0, +1.99900E+0, +2.01300E+0, +2.02600E+0, +2.04000E+0, +2.05400E+0, +2.06700E+0, +2.08100E+0, +2.09400E+0, +2.10800E+0, +2.12100E+0, +2.13500E+0, +2.14800E+0, +2.16200E+0, +2.17600E+0, +2.18900E+0, +2.20300E+0, +2.21600E+0, +2.23000E+0, +2.24300E+0, +2.25700E+0, +2.27000E+0, +2.28400E+0, +2.29700E+0, +2.31100E+0, +2.32500E+0, +2.33800E+0, +2.35200E+0, +2.36500E+0, +2.37900E+0, +2.39200E+0, +2.40600E+0, +2.41900E+0, +2.43300E+0, +2.44600E+0, +2.46000E+0, +2.47400E+0, +2.48700E+0, +2.50100E+0, +2.51400E+0, +2.52800E+0])*1000.   # J/kg-K
@@ -92,6 +112,11 @@ class DowthermJ(PureData):
     """
     def __init__(self):
         PureData.__init__(self) 
+        self.density.source           = self.density.SOURCE_DATA
+        self.specific_heat.source     = self.specific_heat.SOURCE_DATA
+        self.conductivity.source      = self.conductivity.SOURCE_DATA
+        self.viscosity.source         = self.viscosity.SOURCE_DATA
+        self.saturation_pressure.source = self.saturation_pressure.SOURCE_DATA
         self.temperature.data         = np.array([-8.00000E+1, -7.00000E+1, -6.00000E+1, -5.00000E+1, -4.00000E+1, -3.00000E+1, -2.00000E+1, -1.00000E+1, +0.00000E+0, +1.00000E+1, +2.00000E+1, +3.00000E+1, +4.00000E+1, +5.00000E+1, +6.00000E+1, +7.00000E+1, +8.00000E+1, +9.00000E+1, +1.00000E+2, +1.10000E+2, +1.20000E+2, +1.30000E+2, +1.40000E+2, +1.50000E+2, +1.60000E+2, +1.70000E+2, +1.80000E+2, +1.81300E+2, +1.90000E+2, +2.00000E+2, +2.10000E+2, +2.20000E+2, +2.30000E+2, +2.40000E+2, +2.50000E+2, +2.60000E+2, +2.70000E+2, +2.80000E+2, +2.90000E+2, +3.00000E+2, +3.10000E+2, +3.20000E+2, +3.30000E+2, +3.40000E+2, +3.45000E+2])+273.15  # Kelvin
         self.density.data             = np.array([+9.31300E+2, +9.27900E+2, +9.21000E+2, +9.14100E+2, +9.07100E+2, +9.00000E+2, +8.92900E+2, +8.85700E+2, +8.78500E+2, +8.71100E+2, +8.63700E+2, +8.56200E+2, +8.48700E+2, +8.41000E+2, +8.33200E+2, +8.25400E+2, +8.17400E+2, +8.09400E+2, +8.01200E+2, +7.92900E+2, +7.84400E+2, +7.75900E+2, +7.67100E+2, +7.58300E+2, +7.49200E+2, +7.40000E+2, +7.30600E+2, +7.29300E+2, +7.20900E+2, +7.11000E+2, +7.00900E+2, +6.90500E+2, +6.79800E+2, +6.68800E+2, +6.57300E+2, +6.45500E+2, +6.33100E+2, +6.20200E+2, +6.06600E+2, +5.92200E+2, +5.76900E+2, +5.60400E+2, +5.42400E+2, +5.22400E+2, +5.11400E+2])         # kg/m3
         self.specific_heat.data       = np.array([+1.58400E+0, +1.59400E+0, +1.61600E+0, +1.63900E+0, +1.66300E+0, +1.68800E+0, +1.71400E+0, +1.74100E+0, +1.76900E+0, +1.79800E+0, +1.82800E+0, +1.85900E+0, +1.89000E+0, +1.92300E+0, +1.95500E+0, +1.98900E+0, +2.02300E+0, +2.05800E+0, +2.09300E+0, +2.12900E+0, +2.16500E+0, +2.20200E+0, +2.23900E+0, +2.27700E+0, +2.31500E+0, +2.35300E+0, +2.39200E+0, +2.39700E+0, +2.43200E+0, +2.47200E+0, +2.51200E+0, +2.55300E+0, +2.59400E+0, +2.63600E+0, +2.68000E+0, +2.72400E+0, +2.76900E+0, +2.81600E+0, +2.86600E+0, +2.91900E+0, +2.97600E+0, +3.04000E+0, +3.11500E+0, +3.20800E+0, +3.26500E+0])*1000.   # J/kg-K
@@ -111,7 +136,12 @@ class DowthermQ(PureData):
     Heat transfer fluid Dowtherm Q by Dow Chemicals
     """
     def __init__(self):
-        PureData.__init__(self) 
+        PureData.__init__(self)
+        self.density.source           = self.density.SOURCE_DATA
+        self.specific_heat.source     = self.specific_heat.SOURCE_DATA
+        self.conductivity.source      = self.conductivity.SOURCE_DATA
+        self.viscosity.source         = self.viscosity.SOURCE_DATA
+        self.saturation_pressure.source = self.saturation_pressure.SOURCE_DATA 
         self.temperature.data         = np.array([-3.50000E+1, -3.00000E+1, -2.00000E+1, -1.00000E+1, +0.00000E+0, +1.00000E+1, +2.00000E+1, +3.00000E+1, +4.00000E+1, +5.00000E+1, +6.00000E+1, +7.00000E+1, +8.00000E+1, +9.00000E+1, +1.00000E+2, +1.10000E+2, +1.20000E+2, +1.30000E+2, +1.40000E+2, +1.50000E+2, +1.60000E+2, +1.70000E+2, +1.80000E+2, +1.90000E+2, +2.00000E+2, +2.10000E+2, +2.20000E+2, +2.30000E+2, +2.40000E+2, +2.50000E+2, +2.60000E+2, +2.70000E+2, +2.80000E+2, +2.90000E+2, +3.00000E+2, +3.10000E+2, +3.20000E+2, +3.30000E+2, +3.40000E+2, +3.50000E+2, +3.60000E+2])+273.15  # Kelvin
         self.density.data             = np.array([+1.01140E+3, +1.00320E+3, +9.95600E+2, +9.88000E+2, +9.80500E+2, +9.72900E+2, +9.65400E+2, +9.57800E+2, +9.50200E+2, +9.42700E+2, +9.35100E+2, +9.27600E+2, +9.20000E+2, +9.12400E+2, +9.04900E+2, +8.97300E+2, +8.89800E+2, +8.82200E+2, +8.74600E+2, +8.67100E+2, +8.59500E+2, +8.52000E+2, +8.44400E+2, +8.36800E+2, +8.29300E+2, +8.21700E+2, +8.14200E+2, +8.06600E+2, +7.99000E+2, +7.91500E+2, +7.83900E+2, +7.76400E+2, +7.68800E+2, +7.61200E+2, +7.53700E+2, +7.46100E+2, +7.38600E+2, +7.31000E+2, +7.23400E+2, +7.15900E+2, +7.08300E+2])         # kg/m3
         self.specific_heat.data       = np.array([+1.47800E+0, +1.49200E+0, +1.52500E+0, +1.55700E+0, +1.58900E+0, +1.62100E+0, +1.65300E+0, +1.68500E+0, +1.71600E+0, +1.74800E+0, +1.77900E+0, +1.81100E+0, +1.84200E+0, +1.87300E+0, +1.90400E+0, +1.93500E+0, +1.96600E+0, +1.99700E+0, +2.02700E+0, +2.05800E+0, +2.08800E+0, +2.11800E+0, +2.14800E+0, +2.17800E+0, +2.20800E+0, +2.23800E+0, +2.26800E+0, +2.29700E+0, +2.32700E+0, +2.35600E+0, +2.38600E+0, +2.41500E+0, +2.44400E+0, +2.47300E+0, +2.50200E+0, +2.53000E+0, +2.55900E+0, +2.58700E+0, +2.61600E+0, +2.64400E+0, +2.67200E+0])*1000.   # J/kg-K
@@ -133,6 +163,11 @@ class Texatherm22(PureData):
     """
     def __init__(self):
         PureData.__init__(self) 
+        self.density.source           = self.density.SOURCE_DATA
+        self.specific_heat.source     = self.specific_heat.SOURCE_DATA
+        self.conductivity.source      = self.conductivity.SOURCE_DATA
+        self.viscosity.source         = self.viscosity.SOURCE_DATA
+        self.saturation_pressure.source = self.saturation_pressure.SOURCE_DATA
         self.temperature.data         = np.array([+0.00000E+0, +4.00000E+1, +5.00000E+1, +1.00000E+2, +1.50000E+2, +2.00000E+2, +2.50000E+2, +3.00000E+2, +3.50000E+2])+273.15  # Kelvin
         self.density.data             = np.array([+8.74500E+2, +8.47300E+2, +8.42500E+2, +8.10500E+2, +7.76300E+2, +7.41600E+2, +7.03200E+2, +6.68000E+2, +6.21500E+2])         # kg/m3
         self.specific_heat.data       = np.array([+1.81000E+0, +1.95000E+0, +1.99000E+0, +2.18000E+0, +2.36000E+0, +2.54000E+0, +2.72000E+0, +2.90000E+0, +3.08000E+0])*1e3     # J/kg-K
@@ -153,7 +188,11 @@ class SylthermXLT(PureData):
     Heat transfer fluid Syltherm XLT by Dow Chemicals
     """    
     def __init__(self):
-        PureData.__init__(self) 
+        PureData.__init__(self)
+        self.density.source           = self.density.SOURCE_DATA
+        self.specific_heat.source     = self.specific_heat.SOURCE_DATA
+        self.conductivity.source      = self.conductivity.SOURCE_DATA
+        self.viscosity.source         = self.viscosity.SOURCE_DATA
         self.temperature.data         = np.array([-1.00000E+2, -9.50000E+1, -9.00000E+1, -8.50000E+1, -8.00000E+1, -7.50000E+1, -7.00000E+1, -6.50000E+1, -6.00000E+1, -5.50000E+1, -5.00000E+1, -4.50000E+1, -4.00000E+1, -3.50000E+1, -3.00000E+1, -2.50000E+1, -2.00000E+1, -1.50000E+1, -1.00000E+1, -5.00000E+0, +0.00000E+0, +5.00000E+0, +1.00000E+1, +1.50000E+1, +2.00000E+1, +2.50000E+1, +3.00000E+1, +3.50000E+1, +4.00000E+1, +4.50000E+1, +5.00000E+1, +5.50000E+1, +6.00000E+1, +6.50000E+1, +7.00000E+1, +7.50000E+1, +8.00000E+1, +8.50000E+1, +9.00000E+1, +9.50000E+1, +1.00000E+2, +1.05000E+2, +1.10000E+2, +1.15000E+2, +1.20000E+2, +1.25000E+2, +1.30000E+2, +1.35000E+2, +1.40000E+2, +1.45000E+2, +1.50000E+2, +1.55000E+2, +1.60000E+2, +1.65000E+2, +1.70000E+2, +1.75000E+2, +1.80000E+2, +1.85000E+2, +1.90000E+2, +1.95000E+2, +2.00000E+2, +2.05000E+2, +2.10000E+2, +2.15000E+2, +2.20000E+2, +2.25000E+2, +2.30000E+2, +2.35000E+2, +2.40000E+2, +2.45000E+2, +2.50000E+2, +2.55000E+2, +2.60000E+2])+273.15  # Kelvin
         self.density.data             = np.array([+9.78500E+2, +9.73400E+2, +9.68300E+2, +9.63100E+2, +9.58000E+2, +9.52900E+2, +9.47700E+2, +9.42600E+2, +9.37500E+2, +9.32300E+2, +9.27200E+2, +9.22000E+2, +9.16900E+2, +9.11800E+2, +9.06600E+2, +9.01500E+2, +8.96400E+2, +8.91200E+2, +8.86100E+2, +8.81000E+2, +8.75800E+2, +8.70700E+2, +8.65500E+2, +8.60400E+2, +8.55300E+2, +8.50100E+2, +8.45000E+2, +8.39900E+2, +8.34700E+2, +8.29600E+2, +8.24500E+2, +8.19300E+2, +8.14200E+2, +8.09100E+2, +8.03900E+2, +7.98800E+2, +7.93600E+2, +7.88500E+2, +7.83400E+2, +7.78200E+2, +7.73100E+2, +7.68000E+2, +7.62800E+2, +7.57700E+2, +7.52600E+2, +7.47400E+2, +7.42300E+2, +7.37200E+2, +7.32000E+2, +7.26900E+2, +7.21700E+2, +7.16600E+2, +7.11500E+2, +7.06300E+2, +7.01200E+2, +6.96100E+2, +6.90900E+2, +6.85800E+2, +6.80700E+2, +6.75500E+2, +6.70400E+2, +6.65300E+2, +6.60100E+2, +6.55000E+2, +6.49800E+2, +6.44700E+2, +6.39600E+2, +6.34400E+2, +6.29300E+2, +6.24200E+2, +6.19000E+2, +6.13900E+2, +6.08800E+2])         # kg/m3
         self.specific_heat.data       = np.array([+1.52000E+0, +1.53000E+0, +1.54100E+0, +1.55100E+0, +1.56200E+0, +1.57200E+0, +1.58300E+0, +1.59300E+0, +1.60400E+0, +1.61400E+0, +1.62500E+0, +1.63500E+0, +1.64600E+0, +1.65600E+0, +1.66700E+0, +1.67700E+0, +1.68800E+0, +1.69800E+0, +1.70900E+0, +1.71900E+0, +1.73000E+0, +1.74000E+0, +1.75100E+0, +1.76100E+0, +1.77200E+0, +1.78200E+0, +1.79300E+0, +1.80300E+0, +1.81400E+0, +1.82400E+0, +1.83500E+0, +1.84500E+0, +1.85600E+0, +1.86600E+0, +1.87700E+0, +1.88700E+0, +1.89800E+0, +1.90800E+0, +1.91900E+0, +1.92900E+0, +1.94000E+0, +1.95000E+0, +1.96100E+0, +1.97100E+0, +1.98200E+0, +1.99200E+0, +2.00300E+0, +2.01300E+0, +2.02400E+0, +2.03400E+0, +2.04500E+0, +2.05500E+0, +2.06600E+0, +2.07600E+0, +2.08700E+0, +2.09700E+0, +2.10800E+0, +2.11800E+0, +2.12900E+0, +2.13900E+0, +2.15000E+0, +2.16000E+0, +2.17100E+0, +2.18100E+0, +2.19200E+0, +2.20200E+0, +2.21300E+0, +2.22300E+0, +2.23400E+0, +2.24400E+0, +2.25500E+0, +2.26500E+0, +2.27600E+0])*1e3     # J/kg-K
@@ -174,6 +213,11 @@ class HC50(PureData):
     """
     def __init__(self):
         PureData.__init__(self) 
+        self.density.source           = self.density.SOURCE_DATA
+        self.specific_heat.source     = self.specific_heat.SOURCE_DATA
+        self.conductivity.source      = self.conductivity.SOURCE_DATA
+        self.viscosity.source         = self.viscosity.SOURCE_DATA
+        self.saturation_pressure.source = self.saturation_pressure.SOURCE_DATA
         self.temperature.data         = np.array([+2.23150E+2,+2.33150E+2,+2.43150E+2,+2.53150E+2,+2.63150E+2,+2.73150E+2,+2.83150E+2,+2.93150E+2,+3.03150E+2,+3.13150E+2,+3.23150E+2,+3.33150E+2,+3.43150E+2,+3.53150E+2,+3.63150E+2,+3.73150E+2,+3.83150E+2,+3.93150E+2,+4.03150E+2,+4.13150E+2,+4.23150E+2,+4.33150E+2,+4.43150E+2,+4.53150E+2,+4.63150E+2,+4.73150E+2,+4.83150E+2]) # Kelvin
         self.density.data             = np.array([+1.37800E+3,+1.37300E+3,+1.36700E+3,+1.36200E+3,+1.35600E+3,+1.35100E+3,+1.34500E+3,+1.34000E+3,+1.33400E+3,+1.32800E+3,+1.32300E+3,+1.31700E+3,+1.31200E+3,+1.30600E+3,+1.30100E+3,+1.29500E+3,+1.29000E+3,+1.28400E+3,+1.27900E+3,+1.27300E+3,+1.26700E+3,+1.26200E+3,+1.25600E+3,+1.25100E+3,+1.24500E+3,+1.24000E+3,+1.23400E+3]) # kg/m3
         self.specific_heat.data       = np.array([+2.56300E+3,+2.58300E+3,+2.60200E+3,+2.62200E+3,+2.64200E+3,+2.66100E+3,+2.68100E+3,+2.70100E+3,+2.72000E+3,+2.74000E+3,+2.76000E+3,+2.78000E+3,+2.79900E+3,+2.81900E+3,+2.83900E+3,+2.85800E+3,+2.87800E+3,+2.89800E+3,+2.91700E+3,+2.93700E+3,+2.95700E+3,+2.97700E+3,+2.99600E+3,+3.01600E+3,+3.03600E+3,+3.05500E+3,+3.07500E+3]) # J/kg-K
@@ -195,6 +239,11 @@ class HC40(PureData):
     """    
     def __init__(self):
         PureData.__init__(self) 
+        self.density.source           = self.density.SOURCE_DATA
+        self.specific_heat.source     = self.specific_heat.SOURCE_DATA
+        self.conductivity.source      = self.conductivity.SOURCE_DATA
+        self.viscosity.source         = self.viscosity.SOURCE_DATA
+        self.saturation_pressure.source = self.saturation_pressure.SOURCE_DATA
         self.temperature.data         = np.array([+2.33150E+2,+2.43150E+2,+2.53150E+2,+2.63150E+2,+2.73150E+2,+2.83150E+2,+2.93150E+2,+3.03150E+2,+3.13150E+2,+3.23150E+2,+3.33150E+2,+3.43150E+2,+3.53150E+2,+3.63150E+2,+3.73150E+2,+3.83150E+2,+3.93150E+2,+4.03150E+2,+4.13150E+2,+4.23150E+2,+4.33150E+2,+4.38150E+2,+4.43150E+2,+4.53150E+2,+4.63150E+2,+4.73150E+2]) # Kelvin
         self.density.data             = np.array([+1.34800E+3,+1.34300E+3,+1.33700E+3,+1.33200E+3,+1.32600E+3,+1.32100E+3,+1.31500E+3,+1.30900E+3,+1.30400E+3,+1.29800E+3,+1.29300E+3,+1.28700E+3,+1.28100E+3,+1.27600E+3,+1.27000E+3,+1.26500E+3,+1.25900E+3,+1.25300E+3,+1.24800E+3,+1.24200E+3,+1.23700E+3,+1.23400E+3,+1.23100E+3,+1.22500E+3,+1.22000E+3,+1.21400E+3]) # kg/m3
         self.specific_heat.data       = np.array([+2.80000E+3,+2.82000E+3,+2.84000E+3,+2.87000E+3,+2.89000E+3,+2.91000E+3,+2.93000E+3,+2.96000E+3,+2.98000E+3,+3.00000E+3,+3.03000E+3,+3.05000E+3,+3.07000E+3,+3.09000E+3,+3.12000E+3,+3.14000E+3,+3.16000E+3,+3.19000E+3,+3.21000E+3,+3.23000E+3,+3.25000E+3,+3.27000E+3,+3.28000E+3,+3.30000E+3,+3.32000E+3,+3.35000E+3]) # J/kg-K
@@ -216,6 +265,11 @@ class HC30(PureData):
     """    
     def __init__(self):
         PureData.__init__(self) 
+        self.density.source           = self.density.SOURCE_DATA
+        self.specific_heat.source     = self.specific_heat.SOURCE_DATA
+        self.conductivity.source      = self.conductivity.SOURCE_DATA
+        self.viscosity.source         = self.viscosity.SOURCE_DATA
+        self.saturation_pressure.source = self.saturation_pressure.SOURCE_DATA
         self.temperature.data         = np.array([+2.43150E+2,+2.53150E+2,+2.63150E+2,+2.73150E+2,+2.83150E+2,+2.93150E+2,+3.03150E+2,+3.13150E+2,+3.23150E+2,+3.33150E+2,+3.43150E+2,+3.53150E+2,+3.63150E+2,+3.73150E+2,+3.83150E+2,+3.93150E+2,+4.03150E+2,+4.13150E+2,+4.23150E+2,+4.33150E+2,+4.43150E+2,+4.53150E+2,+4.63150E+2,+4.73150E+2,+4.83150E+2]) # Kelvin
         self.density.data             = np.array([+1.30000E+3,+1.29500E+3,+1.29000E+3,+1.28500E+3,+1.28000E+3,+1.27500E+3,+1.27000E+3,+1.26500E+3,+1.26000E+3,+1.25500E+3,+1.25000E+3,+1.24400E+3,+1.23900E+3,+1.23400E+3,+1.22900E+3,+1.22400E+3,+1.21900E+3,+1.21400E+3,+1.20900E+3,+1.20400E+3,+1.19900E+3,+1.19300E+3,+1.18800E+3,+1.18300E+3,+1.17800E+3]) # kg/m3
         self.specific_heat.data       = np.array([+2.96100E+3,+2.98400E+3,+3.00700E+3,+3.03100E+3,+3.05400E+3,+3.07700E+3,+3.10000E+3,+3.12300E+3,+3.14600E+3,+3.16900E+3,+3.19200E+3,+3.21500E+3,+3.23800E+3,+3.26200E+3,+3.28500E+3,+3.30800E+3,+3.33100E+3,+3.35400E+3,+3.37700E+3,+3.40000E+3,+3.42300E+3,+3.44600E+3,+3.46900E+3,+3.49300E+3,+3.51600E+3]) # J/kg-K
@@ -237,6 +291,11 @@ class HC20(PureData):
     """    
     def __init__(self):
         PureData.__init__(self) 
+        self.density.source           = self.density.SOURCE_DATA
+        self.specific_heat.source     = self.specific_heat.SOURCE_DATA
+        self.conductivity.source      = self.conductivity.SOURCE_DATA
+        self.viscosity.source         = self.viscosity.SOURCE_DATA
+        self.saturation_pressure.source = self.saturation_pressure.SOURCE_DATA
         self.temperature.data         = np.array([+2.53150E+2,+2.63150E+2,+2.73150E+2,+2.83150E+2,+2.93150E+2,+3.03150E+2,+3.13150E+2,+3.23150E+2,+3.33150E+2,+3.43150E+2,+3.53150E+2,+3.63150E+2,+3.73150E+2,+3.83150E+2,+3.93150E+2,+4.03150E+2,+4.13150E+2,+4.23150E+2,+4.33150E+2,+4.43150E+2,+4.53150E+2,+4.63150E+2,+4.73150E+2,+4.83150E+2]) # Kelvin
         self.density.data             = np.array([+1.25800E+3,+1.25300E+3,+1.24800E+3,+1.24200E+3,+1.23700E+3,+1.23200E+3,+1.22700E+3,+1.22200E+3,+1.21600E+3,+1.21100E+3,+1.20600E+3,+1.20100E+3,+1.19600E+3,+1.19100E+3,+1.18500E+3,+1.18000E+3,+1.17500E+3,+1.17000E+3,+1.16500E+3,+1.15900E+3,+1.15400E+3,+1.14900E+3,+1.14400E+3,+1.13900E+3]) # kg/m3
         self.specific_heat.data       = np.array([+3.11700E+3,+3.14100E+3,+3.16400E+3,+3.18800E+3,+3.21200E+3,+3.23500E+3,+3.25900E+3,+3.28200E+3,+3.30600E+3,+3.33000E+3,+3.35300E+3,+3.37700E+3,+3.40000E+3,+3.42400E+3,+3.44800E+3,+3.47100E+3,+3.49500E+3,+3.51800E+3,+3.54200E+3,+3.56600E+3,+3.58900E+3,+3.61300E+3,+3.63600E+3,+3.66000E+3]) # J/kg-K
@@ -258,6 +317,11 @@ class HC10(PureData):
     """    
     def __init__(self):
         PureData.__init__(self) 
+        self.density.source           = self.density.SOURCE_DATA
+        self.specific_heat.source     = self.specific_heat.SOURCE_DATA
+        self.conductivity.source      = self.conductivity.SOURCE_DATA
+        self.viscosity.source         = self.viscosity.SOURCE_DATA
+        self.saturation_pressure.source = self.saturation_pressure.SOURCE_DATA
         self.temperature.data         = np.array([+2.63150E+2,+2.73150E+2,+2.83150E+2,+2.93150E+2,+3.03150E+2,+3.13150E+2,+3.23150E+2,+3.33150E+2,+3.43150E+2,+3.53150E+2,+3.63150E+2,+3.73150E+2,+3.83150E+2,+3.93150E+2,+4.03150E+2,+4.13150E+2,+4.23150E+2,+4.33150E+2,+4.43150E+2,+4.53150E+2,+4.63150E+2,+4.73150E+2,+4.83150E+2,+4.91150E+2]) # Kelvin
         self.density.data             = np.array([+1.20400E+3,+1.19900E+3,+1.19500E+3,+1.19000E+3,+1.18600E+3,+1.18100E+3,+1.17700E+3,+1.17200E+3,+1.16700E+3,+1.16300E+3,+1.15800E+3,+1.15400E+3,+1.14900E+3,+1.14500E+3,+1.14000E+3,+1.13600E+3,+1.13100E+3,+1.12700E+3,+1.12200E+3,+1.11800E+3,+1.11300E+3,+1.10900E+3,+1.10400E+3,+1.10100E+3]) # kg/m3
         self.specific_heat.data       = np.array([+3.24600E+3,+3.27100E+3,+3.29600E+3,+3.32000E+3,+3.34500E+3,+3.37000E+3,+3.39500E+3,+3.42000E+3,+3.44400E+3,+3.46900E+3,+3.49400E+3,+3.51900E+3,+3.54400E+3,+3.56800E+3,+3.59300E+3,+3.61800E+3,+3.64300E+3,+3.66800E+3,+3.69200E+3,+3.71700E+3,+3.74200E+3,+3.76700E+3,+3.79200E+3,+3.81100E+3]) # J/kg-K
diff --git a/dev/incompressible_liquids/CPIncomp/SecCoolFluids.py b/dev/incompressible_liquids/CPIncomp/SecCoolFluids.py
index 2987aaa9..7e707bf2 100644
--- a/dev/incompressible_liquids/CPIncomp/SecCoolFluids.py
+++ b/dev/incompressible_liquids/CPIncomp/SecCoolFluids.py
@@ -3,6 +3,7 @@ import numpy as np
 from BaseObjects import IncompressibleData
 from DataObjects import DigitalData, PureData 
 import os, sys
+from scipy import interpolate 
 
 class SecCoolSolutionData(DigitalData):
     """ 
@@ -46,6 +47,52 @@ class SecCoolSolutionData(DigitalData):
         self.xbase = (self.xmin + self.xmax) / 2.0
         
         
+#    def interp(self, tOld, xOld, dataNew):
+#        tCur = self.temperature.data
+#        xCur = self.concentration.data        
+#        
+#        data = None
+#        if len(tCur)==1: # 1d in concentration
+#            f = interpolate.interp1d(xCur, dataNew.flat)#, kind='cubic')
+#            data = f(xOld).reshape((1,len(xOld)))
+#        elif len(xCur)==1: # 1d in temperature
+#            f = interpolate.interp1d(tCur, dataNew.flat)#, kind='cubic')
+#            data = f(tOld).reshape((len(tOld),1))
+#        else: # 2d
+#            f = interpolate.interp2d(xCur, tCur, dataNew)#, kind='cubic')
+#            data = f(xOld,tOld)
+#        return data
+    
+    def interp(self, tOld, xOld, dataNew):
+        tCur = self.temperature.data
+        xCur = self.concentration.data        
+        
+        data = None
+        if len(tCur)==1: # 1d in concentration
+            f = interpolate.InterpolatedUnivariateSpline(xCur, dataNew.flat, k=1)
+            data = f(xOld).reshape((1,len(xOld)))
+        elif len(xCur)==1: # 1d in temperature
+            f = interpolate.InterpolatedUnivariateSpline(tCur, dataNew.flat, k=1)
+            data = f(tOld).reshape((len(tOld),1))
+        else: # 2d
+            #f = interpolate.SmoothBivariateSpline(xCur, tCur, dataNew, kx=1, ky=1)
+            f = interpolate.interp2d(xCur, tCur, dataNew)#, kind='cubic')
+            data = f(xOld,tOld)
+        return data
+    
+    
+    
+
+    #def extrap(self, x, xp, yp):
+    #    """np.interp function with linear extrapolation"""
+    #    y = np.interp(x, xp, yp)
+    #    y[x < xp[0]] = yp[0] + (x[x<xp[0]]-xp[0]) * (yp[0]-yp[1]) / (xp[0]-xp[1])
+    #    y[x > xp[-1]]= yp[-1] + (x[x>xp[-1]]-xp[-1])*(yp[-1]-yp[-2])/(xp[-1]-xp[-2])
+    #    return y
+       
+        
+        
+        
     def fitFluid(self):
         std_coeffs = np.zeros((4,6))
         errList    = (ValueError, AttributeError, TypeError, RuntimeError)
@@ -59,8 +106,10 @@ class SecCoolSolutionData(DigitalData):
             self.concentration.data = None
             self.density.data   = self.getArray(data='Rho')
             self.density.coeffs = np.copy(std_coeffs)
+            self.density.source = self.density.SOURCE_DATA
             self.density.type   = self.density.INCOMPRESSIBLE_POLYNOMIAL
             self.density.fitCoeffs(tempData,concData,self.Tbase,self.xbase)
+            self.density.data = self.interp(tempData, concData, self.density.data)
         except errList as ve:
             if self.density.DEBUG: print("{0}: Could not fit polynomial {1} coefficients: {2}".format(self.name,'density',ve))
             pass
@@ -69,11 +118,13 @@ class SecCoolSolutionData(DigitalData):
             self.temperature.data = None
             self.concentration.data = None
             self.specific_heat.data   = self.getArray(data='Cp')
-            while np.max(self.specific_heat.data)<100: # Expect values around 1e3
+            while np.max(self.specific_heat.data[np.isfinite(self.specific_heat.data)])<500: # Expect values around 1e3
                 self.specific_heat.data *= 1e3 
             self.specific_heat.coeffs = np.copy(std_coeffs)
+            self.specific_heat.source = self.specific_heat.SOURCE_DATA
             self.specific_heat.type   = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
             self.specific_heat.fitCoeffs(tempData,concData,self.Tbase,self.xbase)
+            self.specific_heat.data = self.interp(tempData, concData, self.specific_heat.data)                
         except errList as ve:
             if self.specific_heat.DEBUG: print("{0}: Could not fit polynomial {1} coefficients: {2}".format(self.name,'specific heat',ve))
             pass 
@@ -82,11 +133,13 @@ class SecCoolSolutionData(DigitalData):
             self.temperature.data = None
             self.concentration.data = None
             self.conductivity.data   = self.getArray(data='Cond')
-            while np.max(self.conductivity.data)>10: # Expect value below 1
+            while np.max(self.conductivity.data[np.isfinite(self.conductivity.data)])>10: # Expect value below 1
                 self.conductivity.data *= 1e-3 
             self.conductivity.coeffs = np.copy(std_coeffs)
+            self.conductivity.source = self.conductivity.SOURCE_DATA
             self.conductivity.type   = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
             self.conductivity.fitCoeffs(tempData,concData,self.Tbase,self.xbase)
+            self.conductivity.data = self.interp(tempData, concData, self.conductivity.data)
         except errList as ve:
             if self.conductivity.DEBUG: print("{0}: Could not fit polynomial {1} coefficients: {2}".format(self.name,'conductivity',ve))
             pass
@@ -95,11 +148,13 @@ class SecCoolSolutionData(DigitalData):
             self.temperature.data = None
             self.concentration.data = None
             self.viscosity.data   = self.getArray(data='Mu')
-            while np.max(self.viscosity.data)>100: # Expect value below 10
+            while np.max(self.viscosity.data[np.isfinite(self.viscosity.data)])>100: # Expect value below 10
                 self.viscosity.data *= 1e-3 
             self.viscosity.coeffs = np.copy(std_coeffs)
+            self.viscosity.source = self.viscosity.SOURCE_DATA
             self.viscosity.type   = self.viscosity.INCOMPRESSIBLE_EXPPOLYNOMIAL
             self.viscosity.fitCoeffs(tempData,concData,self.Tbase,self.xbase)
+            self.viscosity.data = self.interp(tempData, concData, self.viscosity.data)
         except errList as ve:
             if self.viscosity.DEBUG: print("{0}: Could not fit polynomial {1} coefficients: {2}".format(self.name,'viscosity',ve))
             pass
@@ -113,11 +168,19 @@ class SecCoolSolutionData(DigitalData):
             Tfreeze_T = self.getArray(data='TFreeze')
             if np.min(Tfreeze_T)<150: Tfreeze_T += 273.15 
             Tfreeze_x = (self.temperature.data - 273.15) / 100.0
-            self.T_freeze.data = Tfreeze_T
-            try:        
-                self.T_freeze.coeffs = np.copy(std_coeffs)
-                self.T_freeze.type   = self.T_freeze.INCOMPRESSIBLE_POLYNOMIAL
-                self.T_freeze.fitCoeffs(Tfreeze_x,0.0,self.xbase,0.0)
+            self.T_freeze.data = Tfreeze_T.T
+            self.temperature.data = [0.0]
+            self.concentration.data = Tfreeze_x
+            try:
+                self.T_freeze.source = self.T_freeze.SOURCE_DATA
+                if np.isfinite(self.T_freeze.data).sum()<0:
+                    self.T_freeze.coeffs = np.array([+7e+6, +6e+4, +1e+1])
+                    self.T_freeze.type   = self.T_freeze.INCOMPRESSIBLE_EXPONENTIAL
+                else:   
+                    self.T_freeze.coeffs = np.zeros(np.round(np.array(std_coeffs.shape) * 2))
+                    self.T_freeze.type   = self.T_freeze.INCOMPRESSIBLE_EXPPOLYNOMIAL
+                self.T_freeze.fitCoeffs([0.0],Tfreeze_x,0.0,self.xbase)
+                self.T_freeze.data = self.interp([0.0], concData, self.T_freeze.data)
             except errList as ve:
                 if self.T_freeze.DEBUG: print("{0}: Could not fit {1} coefficients: {2}".format(self.name,"T_freeze",ve))
                 pass
@@ -133,6 +196,7 @@ class SecCoolSolutionData(DigitalData):
                 #_,_,massData = IncompressibleData.shapeArray(massData,axs=1)
                 try:
                     self.mass2input.coeffs = np.copy(std_coeffs)
+                    self.mass2input.source = self.mass2input.SOURCE_DATA
                     self.mass2input.type   = self.mass2input.INCOMPRESSIBLE_POLYNOMIAL
                     self.mass2input.fitCoeffs([self.Tbase],massData,self.Tbase,self.xbase)
                 except errList as ve:
@@ -143,6 +207,7 @@ class SecCoolSolutionData(DigitalData):
                 #_,_,volData = IncompressibleData.shapeArray(volData,axs=1)
                 try:
                     self.volume2input.coeffs = np.copy(std_coeffs)
+                    self.volume2input.source = self.volume2input.SOURCE_DATA
                     self.volume2input.type   = self.volume2input.INCOMPRESSIBLE_POLYNOMIAL
                     self.volume2input.fitCoeffs([self.Tbase],volData,self.Tbase,self.xbase)
                 except errList as ve:
@@ -332,12 +397,15 @@ class ThermogenVP1869(PureData,DigitalData):
     
         self.Tbase =   0.00 + 273.15
        
+        self.density.source = self.density.SOURCE_COEFFS
         self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
         self.density.coeffs = np.array([[945.5454545],[-1.054545455]])
         
+        self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
         self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
         self.specific_heat.coeffs = np.array([[2.322218182],[0.003843636]])*1000
 
+        self.conductivity.source = self.conductivity.SOURCE_COEFFS
         self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
         self.conductivity.coeffs = np.array([[0.15],[-0.000154545]])
         
@@ -353,6 +421,7 @@ class ThermogenVP1869(PureData,DigitalData):
               (1+T*(0.034502393+T*(0.000401319+1.57288E-06*T)))*1e-2
 
         self.viscosity.data = self.getArray(funcMu,key)
+        self.viscosity.source = self.viscosity.SOURCE_EQUATION
         self.viscosity.type = self.viscosity.INCOMPRESSIBLE_EXPPOLYNOMIAL
         try:
             self.viscosity.coeffs = np.zeros((4,6))
@@ -384,9 +453,11 @@ class Freezium(DigitalData):
         self.temperature.data         = self.getTrange()
         self.concentration.data       = self.getxrange()
         
-        self.density.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
+        self.density.source = self.density.SOURCE_COEFFS
+        self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
         self.density.coeffs = np.array([[1015,462,406],[-40/100.0,0.0,0.0]])
 
+        self.conductivity.source = self.conductivity.SOURCE_COEFFS
         self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
         self.conductivity.coeffs = np.array([[0.55,-0.15],[0.18/100.0,-0.16/100.0]])
         
@@ -399,6 +470,7 @@ class Freezium(DigitalData):
             return (4.15*np.exp(-0.9*x)+0.63*T*x)*1000.0
 
         self.specific_heat.data = self.getArray(funcCp,key)
+        self.specific_heat.source = self.specific_heat.SOURCE_EQUATION
         self.specific_heat.type = self.viscosity.INCOMPRESSIBLE_POLYNOMIAL
         try:
             self.specific_heat.coeffs = np.zeros((4,6))
@@ -416,6 +488,7 @@ class Freezium(DigitalData):
             return self.rho(T, 1e6, x)*np.power(10,result)*1E-3;
 
         self.viscosity.data = self.getArray(funcMu,key)
+        self.viscosity.source = self.viscosity.SOURCE_EQUATION
         self.viscosity.type = self.viscosity.INCOMPRESSIBLE_EXPPOLYNOMIAL
         try:
             self.viscosity.coeffs = np.zeros((4,6))
@@ -443,23 +516,20 @@ class Freezium(DigitalData):
             return ((a+x*(c+x*(e+x*(g+i*x))))/(1+x*(b+x*(d+x*(f+x*(h+j*x)))))*100)+273.15
         
         # Change the coefficients for TFreeze
-        self.temperature.data   = self.getxrange()
-        self.concentration.data = np.array([0.0])
         self.T_freeze.data      = self.getArray(funcTf,key)
-        self.temperature.data   = self.getTrange()
-        self.concentration.data = self.getxrange()
-        self.T_freeze.type      = self.viscosity.INCOMPRESSIBLE_POLYNOMIAL
-        
         try:        
             self.T_freeze.coeffs = np.zeros((4,6))
+            self.T_freeze.source = self.T_freeze.SOURCE_EQUATION
             self.T_freeze.type   = self.T_freeze.INCOMPRESSIBLE_POLYNOMIAL
-            self.T_freeze.fitCoeffs(self.concentration.data,0.0,self.xbase,0.0)
+            self.T_freeze.fitCoeffs(0.0,self.concentration.data,0.0,self.xbase)
+            self.T_freeze.data = self.interp([0.0], self.concentration.data, self.T_freeze.data)
         except (ValueError, AttributeError, TypeError, RuntimeError) as e:
             if self.T_freeze.DEBUG: print("{0}: Could not fit polynomial {1} coefficients: {2}".format(self.name,'T freeze',e))
             pass 
         funcTf = None
         
         
+        
 
 class AS10(PureData,DigitalData):
     def __init__(self):
@@ -470,21 +540,26 @@ class AS10(PureData,DigitalData):
         self.reference = "Aspen Petroleum AB, SecCool software"
 
         self.Tmax = 30 + 273.15
-        self.Tmin = -10
+        self.Tmin = -10 + 273.15
         self.TminPsat = self.Tmax
         self.Tbase = 0.00 + 273.15
         self.temperature.data         = self.getTrange()
         self.concentration.data       = np.array([0]) # mass fraction
+        self.xid = self.ifrac_pure
 
+        self.density.source = self.density.SOURCE_COEFFS
         self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
         self.density.coeffs = np.array([[-1.89735e-18],[+ 1.66533e-16],[- 0.2],[+ 1090]])[::-1]
 
+        self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
         self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
         self.specific_heat.coeffs = np.array([[-0.0132589],[+ 2.01],[+ 3541.83]])[::-1]
 
+        self.conductivity.source = self.conductivity.SOURCE_COEFFS
         self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
         self.conductivity.coeffs = np.array([[0.001483],[+ 0.514259]])[::-1]
 
+        self.viscosity.source = self.viscosity.SOURCE_COEFFS
         self.viscosity.type = self.viscosity.INCOMPRESSIBLE_POLYNOMIAL
         self.viscosity.coeffs = np.array([[-2.11481e-5],[+ 0.00235381],[- 0.10631376],[+ 2.80154921]])[::-1]
 
@@ -503,18 +578,22 @@ class AS20(PureData,DigitalData):
         self.reference = "Aspen Petroleum AB, SecCool software"
 
         self.Tmax = 30 + 273.15
-        self.Tmin = -20
+        self.Tmin = -20 + 273.15
         self.TminPsat = self.Tmax
         self.Tbase = 0.00 + 273.15
         self.temperature.data         = self.getTrange()
         self.concentration.data       = np.array([0]) # mass fraction
+        self.xid = self.ifrac_pure
 
+        self.density.source = self.density.SOURCE_COEFFS
         self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
         self.density.coeffs = np.array([[2.98156e-19],[- 0.00142857],[- 0.22142857],[+ 1147]])[::-1]
 
+        self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
         self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
         self.specific_heat.coeffs = np.array([[-0.0122673],[+ 2.86],[+ 3262.52]])[::-1]
 
+        self.conductivity.source = self.conductivity.SOURCE_COEFFS
         self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
         self.conductivity.coeffs = np.array([[0.001342],[+ 0.480766]])[::-1]
         
@@ -526,6 +605,7 @@ class AS20(PureData,DigitalData):
             return 2.43708721027941*np.exp(-0.0537593944541809*T) + 0.97244
 
         self.viscosity.data = self.getArray(funcMu,key)
+        self.viscosity.source = self.viscosity.SOURCE_EQUATION
         self.viscosity.type = self.viscosity.INCOMPRESSIBLE_EXPPOLYNOMIAL
         try:
             self.viscosity.coeffs = np.zeros((4,6))
@@ -547,18 +627,22 @@ class AS30(PureData,DigitalData):
         self.reference = "Aspen Petroleum AB, SecCool software"
 
         self.Tmax = 30 + 273.15
-        self.Tmin = -30
+        self.Tmin = -30 + 273.15
         self.TminPsat = self.Tmax
         self.Tbase = 0.00 + 273.15
         self.temperature.data         = self.getTrange()
         self.concentration.data       = np.array([0]) # mass fraction
+        self.xid = self.ifrac_pure
 
+        self.density.source = self.density.SOURCE_COEFFS
         self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
         self.density.coeffs = np.array([[1.76768e-5],[- 0.00103896],[- 0.31085859],[+ 1183.85930736]])[::-1]
 
+        self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
         self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
         self.specific_heat.coeffs = np.array([[-0.0270232],[+ 2.99],[+ 3075.04]])[::-1]
 
+        self.conductivity.source = self.conductivity.SOURCE_COEFFS
         self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
         self.conductivity.coeffs = np.array([[0.001256],[+ 0.460388]])[::-1]
 
@@ -570,6 +654,7 @@ class AS30(PureData,DigitalData):
             return 2.65653950695888*np.exp(-0.0598806339442954*T) + 1.30143
 
         self.viscosity.data = self.getArray(funcMu,key)
+        self.viscosity.source = self.viscosity.SOURCE_EQUATION
         self.viscosity.type = self.viscosity.INCOMPRESSIBLE_EXPPOLYNOMIAL
         try:
             self.viscosity.coeffs = np.zeros((4,6))
@@ -591,18 +676,22 @@ class AS40(PureData,DigitalData):
         self.reference = "Aspen Petroleum AB, SecCool software"
 
         self.Tmax = 30 + 273.15
-        self.Tmin = -40
+        self.Tmin = -40 + 273.15
         self.TminPsat = self.Tmax
         self.Tbase = 0.00 + 273.15
         self.temperature.data         = self.getTrange()
         self.concentration.data       = np.array([0]) # mass fraction
+        self.xid = self.ifrac_pure
 
+        self.density.source = self.density.SOURCE_COEFFS
         self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
         self.density.coeffs = np.array([[1.6835e-5],[- 0.00109307],[- 0.37819865],[+ 1214.83982684]])[::-1]
 
+        self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
         self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
         self.specific_heat.coeffs = np.array([[-0.0387227],[+ 2.28],[+ 2977.88]])[::-1]
 
+        self.conductivity.source = self.conductivity.SOURCE_COEFFS
         self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
         self.conductivity.coeffs = np.array([[0.001099],[+ 0.443327]])[::-1]
 
@@ -613,6 +702,7 @@ class AS40(PureData,DigitalData):
             return 0.714976365635003*np.exp(-0.100050525515385*T) + 4.38768154440393*np.exp(-0.0260039000649317*T)
 
         self.viscosity.data = self.getArray(funcMu,key)
+        self.viscosity.source = self.viscosity.SOURCE_EQUATION
         self.viscosity.type = self.viscosity.INCOMPRESSIBLE_EXPPOLYNOMIAL
         try:
             self.viscosity.coeffs = np.zeros((4,6))
@@ -634,18 +724,22 @@ class AS55(PureData,DigitalData):
         self.reference = "Aspen Petroleum AB, SecCool software"
 
         self.Tmax = 30 + 273.15
-        self.Tmin = -55
+        self.Tmin = -55 + 273.15
         self.TminPsat = self.Tmax
         self.Tbase = 0.00 + 273.15
         self.temperature.data         = self.getTrange()
         self.concentration.data       = np.array([0]) # mass fraction
+        self.xid = self.ifrac_pure
 
+        self.density.source = self.density.SOURCE_COEFFS
         self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
         self.density.coeffs = np.array([[1.98824e-5],[- 0.00117189],[- 0.47629615],[+ 1249.7534665]])[::-1]
 
+        self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
         self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
         self.specific_heat.coeffs = np.array([[-0.0248618],[+ 2.29],[+ 2839.85]])[::-1]
 
+        self.conductivity.source = self.conductivity.SOURCE_COEFFS
         self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
         self.conductivity.coeffs = np.array([[2.287e-6],[+ 0.000937902],[+ 0.425799423]])[::-1]
 
@@ -657,6 +751,7 @@ class AS55(PureData,DigitalData):
             return 0.159583223482554*np.exp(-0.138097704125669*T) + 6.3176967296442*np.exp(-0.0380509974688477*T)
 
         self.viscosity.data = self.getArray(funcMu,key)
+        self.viscosity.source = self.viscosity.SOURCE_EQUATION
         self.viscosity.type = self.viscosity.INCOMPRESSIBLE_EXPPOLYNOMIAL
         try:
             self.viscosity.coeffs = np.zeros((4,6))
diff --git a/dev/incompressible_liquids/CPIncomp/WriterObjects.py b/dev/incompressible_liquids/CPIncomp/WriterObjects.py
index 41a42892..1ec8cfdb 100644
--- a/dev/incompressible_liquids/CPIncomp/WriterObjects.py
+++ b/dev/incompressible_liquids/CPIncomp/WriterObjects.py
@@ -1,7 +1,12 @@
 from __future__ import division, print_function
 import numpy as np
 
-import hashlib, os, json
+import hashlib, os, json, sys
+import matplotlib.pyplot as plt 
+import matplotlib.gridspec as gridspec
+from CPIncomp.DataObjects import SolutionData
+from CPIncomp.BaseObjects import IncompressibleData
+from matplotlib.patches import Rectangle
 
 class SolutionDataWriter(object):
     """ 
@@ -55,19 +60,41 @@ class SolutionDataWriter(object):
             pass
         
         try:
-            fluidObject.viscosity.coeffs = np.copy(std_coeffs)
-            fluidObject.viscosity.type   = fluidObject.viscosity.INCOMPRESSIBLE_EXPPOLYNOMIAL
+            if len(concData)==1 and np.isfinite(fluidObject.viscosity.data).sum()<10:
+                fluidObject.viscosity.coeffs = np.array([+7e+2, -6e+1, +1e+1])
+                fluidObject.viscosity.type   = fluidObject.viscosity.INCOMPRESSIBLE_EXPONENTIAL
+            else:
+                fluidObject.viscosity.coeffs = np.zeros(np.round(np.array(std_coeffs.shape) * 2))
+                fluidObject.viscosity.type   = fluidObject.viscosity.INCOMPRESSIBLE_EXPPOLYNOMIAL
+            #fluidObject.viscosity.coeffs = np.copy(std_coeffs)
+            #fluidObject.viscosity.type   = fluidObject.viscosity.INCOMPRESSIBLE_EXPPOLYNOMIAL
             fluidObject.viscosity.fitCoeffs(tempData,concData,fluidObject.Tbase,fluidObject.xbase)
         except errList as ve:
             if fluidObject.viscosity.DEBUG: print("{0}: Could not fit polynomial {1} coefficients: {2}".format(fluidObject.name,'viscosity',ve))
             pass
         
+        try:
+            if len(concData)==1 and np.isfinite(fluidObject.saturation_pressure.data).sum()<10:
+                fluidObject.saturation_pressure.coeffs = np.array([-5e+3, +6e+1, -1e+1]) 
+                fluidObject.saturation_pressure.type   = fluidObject.saturation_pressure.INCOMPRESSIBLE_EXPONENTIAL
+            else:
+                fluidObject.saturation_pressure.coeffs = np.zeros(np.round(np.array(std_coeffs.shape) * 2))
+                fluidObject.saturation_pressure.type   = fluidObject.saturation_pressure.INCOMPRESSIBLE_EXPPOLYNOMIAL
+            fluidObject.saturation_pressure.fitCoeffs(tempData,concData,fluidObject.Tbase,fluidObject.xbase)
+        except errList as ve:
+            if fluidObject.saturation_pressure.DEBUG: print("{0}: Could not fit polynomial {1} coefficients: {2}".format(fluidObject.name,'saturation pressure',ve))
+            pass
+        
         # reset data for getArray and read special files
         if fluidObject.xid!=fluidObject.ifrac_pure and fluidObject.xid!=fluidObject.ifrac_undefined:
-            try:        
-                fluidObject.T_freeze.coeffs = np.copy(std_coeffs)
-                fluidObject.T_freeze.type   = fluidObject.T_freeze.INCOMPRESSIBLE_POLYNOMIAL
-                fluidObject.T_freeze.fitCoeffs(concData,0.0,fluidObject.xbase,0.0)
+            try:
+                if np.isfinite(fluidObject.T_freeze.data).sum()<0:
+                    fluidObject.T_freeze.coeffs = np.array([+7e+2, -6e+1, +1e+1])
+                    fluidObject.T_freeze.type   = fluidObject.T_freeze.INCOMPRESSIBLE_EXPONENTIAL
+                else:   
+                    fluidObject.T_freeze.coeffs = np.zeros(np.round(np.array(std_coeffs.shape) * 2))
+                    fluidObject.T_freeze.type   = fluidObject.T_freeze.INCOMPRESSIBLE_EXPPOLYNOMIAL
+                fluidObject.T_freeze.fitCoeffs(0.0,concData,0.0,fluidObject.xbase)
             except errList as ve:
                 if fluidObject.T_freeze.DEBUG: print("{0}: Could not fit {1} coefficients: {2}".format(fluidObject.name,"T_freeze",ve))
                 pass
@@ -147,7 +174,7 @@ class SolutionDataWriter(object):
                
         original_float_repr = json.encoder.FLOAT_REPR 
         #print json.dumps(1.0001) 
-        stdFmt = " .{0}e".format(int(data.significantDigits-1))
+        stdFmt = "1.{0}e".format(int(data.significantDigits-1))
         #pr = np.finfo(float).eps * 10.0
         #pr = np.finfo(float).precision - 2 # stay away from numerical precision
         #json.encoder.FLOAT_REPR = lambda o: format(np.around(o,decimals=pr), stdFmt) 
@@ -165,12 +192,11 @@ class SolutionDataWriter(object):
           hashes[name] != hash: # update hashes and write file
             
             hashes[name] = hash
-            self.write_hashes(hashes)           
-            
-            fp = open(name+'.json', 'w')
+            self.write_hashes(hashes)
+            path = os.path.join("json",name+'.json')
+            fp = open(path, 'w')
             fp.write(dump)
-            fp.close()
-            
+            fp.close()            
             if not quiet: print(" ({0})".format("w"), end="")
         else:
             if not quiet: print(" ({0})".format("i"), end="")
@@ -184,7 +210,8 @@ class SolutionDataWriter(object):
             print(", {0}".format(obj.name), end="")
         else:
             print(", {0}".format(obj.name), end="")
-
+            
+        sys.stdout.flush()
         return
 
 
@@ -232,6 +259,511 @@ class SolutionDataWriter(object):
                 pass
         print(" ... done") 
         return 
+    
+    def writeReportList(self, fluidObjs):
+        print("Writing fitting reports:", end="")
+        for obj in fluidObjs:
+            self.printStatusID(fluidObjs, obj)
+            self.makeFitReportPage(obj)           
+            try: 
+                self.makeFitReportPage(obj)
+            except (TypeError, ValueError) as e:
+                print("An error occurred for fluid: {0}".format(obj.name))
+                print(obj)
+                print(e)
+                pass
+        print(" ... done") 
+        return 
+    
+
+#####################################
+# Plotting routines
+#####################################    
+    def relError(self, A=[], B=[], PCT=False):
+        """
+        Returns the absolute relative Error from either 
+        (B-A)/B or (A-B)/A for abs(B)>abs(A) and abs(A)>abs(B), 
+        respectively. If PCT is True, it returns it in percent.
+        """        
+        A_a = np.array(A)
+        B_a = np.array(B)
+        
+        abl = np.absolute(B_a)
+        eps = np.ones_like(abl) * np.finfo(float).eps 
+        #div = np.amax(np.hstack((abl,eps)), axis=1)*np.sign(B_a)
+        
+        pos = np.isfinite(B_a)
+        pos2 = (B_a>eps)
+        result = np.zeros_like(A_a)
+        
+        result[pos & pos2] = (A_a[pos & pos2]-B_a[pos & pos2])/B_a[pos & pos2]
+
+        if PCT:
+            return result * 100. 
+        else:
+            return result
+        
+    ############################################################
+    # Define the general purpose routines for plotting
+    ############################################################
+    def wireFrame2D(self,xz,yz,linesX=5,linesY=None,color='black',ax=None,plot=False):
+        """
+        xz is a 2D array that holds x-values for constant z1 and z2.
+        yz is a 2D array that holds y-values for the same z1 and z2. 
+        xz and yz have to have the same size.
+        The first dimension of xz should be greater than 
+        or equal to the lines input.  
+        """
+        if xz.ndim!=2:
+            raise ValueError("xz has to be a 2D array.")
+        if yz.ndim!=2:
+            raise ValueError("yz has to be a 2D array.")
+        if xz.shape!=yz.shape:
+            raise ValueError("xz and yz have to have the same shape: {0} != {1}".format(xz.shape,yz.shape))
+        if linesY==None and linesX!=None:
+            linesY = linesX
+        if linesX==None and linesY!=None:
+            linesX = linesY
+        if linesY==None and linesX==None:
+            raise ValueError("You have to provide linesX or linesY")
+        
+        xl,yl = xz.shape
+        x_index = np.round(np.linspace(0, xl-1, linesX))
+        y_index = np.round(np.linspace(0, yl-1, linesY))
+        x_toPlot = []
+        y_toPlot = []
+        for i in x_index:
+            x_toPlot += [xz.T[i]]
+            y_toPlot += [yz.T[i]]
+        for i in y_index:
+            x_toPlot += [xz[i]]
+            y_toPlot += [yz[i]]
+        if plot==False:
+            return x_toPlot,y_toPlot
+        if ax==None:
+            raise ValueError("You have to give an axis to plot.")
+        for i in range(len(x_toPlot)):
+            ax.plot(x_toPlot[i],y_toPlot[i],color=color)
+        return x_toPlot,y_toPlot
+    
+    
+    def plotValues(self,axVal,axErr,solObj=SolutionData(),dataObj=IncompressibleData(),func=None,old=None):
+        """
+        Plots two data series using the same axis. You can 
+        choose if you prefer points or a line for the reference
+        data. This can be used to show that we have experimental
+        data or a reference equation. 
+        You can use the old input to call CoolProp with this ID. 
+        You can use this feature to visualise changes for new 
+        data fits. Primarily intended to highlight changes from 
+        v4 to v5 of CoolProp. 
+        """ 
+        
+        if dataObj.type==dataObj.INCOMPRESSIBLE_NOT_SET \
+          or dataObj.source==dataObj.SOURCE_NOT_SET:
+            return
+        
+        # TODO: Improve this work-around
+        xFunction = False
+        try:
+            if solObj.T_freeze.coeffs.shape==dataObj.coeffs.shape:
+                if np.all(solObj.T_freeze.coeffs==dataObj.coeffs):
+                    xFunction = True
+        except AttributeError as ae:
+            pass
+        
+        points = 30
+        
+        dataFormatter = {}
+        tData = None
+        xData = None
+        pData = None
+        zData = None
+        zError= None
+        
+        if dataObj.source==dataObj.SOURCE_DATA or dataObj.source==dataObj.SOURCE_EQUATION:
+            dataFormatter['color']  = 'blue'
+            dataFormatter['marker'] = 'o'
+            dataFormatter['ls']     = 'none'
+            
+            tData = solObj.temperature.data
+            xData = solObj.concentration.data
+            pData = 1e7 # 100 bar
+            zData = dataObj.data
+                        
+            if func!=None and zData!=None:
+                r,c = zData.shape
+                zError= np.zeros((r,c))
+                for i in range(r):
+                    for j in range(c):
+                        zError[i,j]= func(tData[i],pData,xData[j])
+                                                   
+                zError = self.relError(zData, zError, PCT=True)
+                
+                if xFunction: axis = 1
+                else: axis = 0
+                  
+                ## Find the column with the largest single error
+                #maxVal = np.amax(zError, axis=0) # largest error per column
+                #col2plot = np.argmax(maxVal) # largest error in row
+                ## Find the column with the largest total error
+                #totVal = np.sum(zError, axis=0) # summed error per column
+                #col2plot = np.argmax(totVal) # largest error in row
+                # Find the column with the largest average error
+                avgVal = np.average(zError, axis=axis) # summed error per column
+                set2plot = np.argmax(avgVal) # largest error in row
+                if xFunction: 
+                    tData = np.array([tData[set2plot]])
+                    zData = zData[set2plot]
+                    zError= zError[set2plot]
+                else:
+                    xData = np.array([xData[set2plot]])
+                    zData = zData.T[set2plot]
+                    zError= zError.T[set2plot]                
+            else:
+                raise ValueError("You have to provide data and a fitted function.")
+        
+        elif dataObj.source==dataObj.SOURCE_COEFFS:
+            dataFormatter['color']  = 'blue'
+            #dataFormatter['marker'] = 'o'
+            dataFormatter['ls']     = 'solid'
+            
+            if xFunction:
+                xData = np.linspace(solObj.xmin, solObj.xmax, num=points)
+                if solObj.xid==solObj.ifrac_pure: tData = np.array([0.0])
+                else: tData = np.array([solObj.Tmin+solObj.Tmax])/2.0
+            else:
+                tData = np.linspace(solObj.Tmin, solObj.Tmax, num=points)
+                if solObj.xid==solObj.ifrac_pure: xData = np.array([0.0])
+                else: xData = np.array([solObj.xmin+solObj.xmax])/2.0
+
+            pData = 1e7 # 100 bar
+            
+            #zData= np.zeros((len(tData),len(xData)))
+            #for i in range(len(tData)):
+            #    for j in range(len(xData)):
+            #        zData[i,j] = func(tData[i],pData,xData[j])
+            #r,c = zData.shape
+            #if r==1 or c==1:
+            #    zData = np.array(zData.flat)
+            #else:
+            #    raise ValueError("Cannot plot non-flat arrays!")
+        
+        
+        # Copy the arrays
+        tFunc = tData
+        xFunc = xData
+        pFunc = pData
+        zFunc = None
+        
+        if func!=None:
+            if len(tFunc)<points and len(tFunc)>1:
+                tFunc = np.linspace(solObj.Tmin, solObj.Tmax, num=points)
+            if len(xFunc)<points and len(xFunc)>1:
+                xFunc = np.linspace(solObj.xmin, solObj.xmax, num=points)
+ 
+            zFunc = np.zeros((len(tFunc),len(xFunc)))
+            for i in range(len(tFunc)):
+                for j in range(len(xFunc)):
+                    zFunc[i,j] = func(tFunc[i],pFunc,xFunc[j])
+            r,c = zFunc.shape
+            if r==1 or c==1:
+                zFunc = np.array(zFunc.flat)
+            else:
+                raise ValueError("Cannot plot non-flat arrays!")
+        
+        fitFormatter = {}
+        fitFormatter['color'] = 'red'
+        fitFormatter['ls'] = 'solid'
+        
+        errorFormatter = {}
+        errorFormatter['color'] = dataFormatter['color']
+        errorFormatter['marker'] = 'o'
+        errorFormatter['ls'] = 'none'
+        errorFormatter['alpha'] = 0.25
+        
+        pData = None
+        if xFunction:
+            pData = xData
+            pFunc = xFunc
+        else:
+            pData = tData
+            pFunc = tFunc
+            
+        if zData!=None and axVal!=None: 
+            axVal.plot(pData, zData, label='data', **dataFormatter)
+
+        if zFunc!=None and axVal!=None:
+            axVal.plot(pFunc, zFunc, label='function' , **fitFormatter)
+            
+        if zError!=None and axErr!=None:
+            axErr.plot(pData, zError, label='error' , **errorFormatter)
+            if solObj.xid!=solObj.ifrac_pure and not xFunction:
+                axErr.set_title("largest error at x={0}".format(xData[0]))
+            else:
+                axErr.set_title(" ")
+        elif axErr!=None:
+            errorFormatter['alpha'] = 0.00
+            axErr.plot([pData[0],pData[-1]], [0,0], **errorFormatter)
+            #axErr.xaxis.set_visible(False)
+            #axErr.yaxis.set_visible(False)
+            #axErr.plot(pData, zFunc, label='function' , **fitFormatter)
+            
+                 
+            
+        #else:
+        #    plt.setp(axErr.get_yticklabels(), visible=False)
+        #    plt.setp(axErr.yaxis.get_label(), visible=False)
+    
+    
+    def printFluidInfo(self,ax,solObj=SolutionData()):
+        """
+        Prints some fluid information on top of the fitting report.
+        """
+        #ax = subplot(111, frame_on=False)
+        ax.xaxis.set_visible(False)
+        ax.yaxis.set_visible(False)
+        
+        #cellText  = [["1","2"],["3","4"]]
+        #rowLabels = ["Name","Source"]
+        ## Add a table at the bottom of the axes
+        #the_table = ax.table(cellText=cellText)
+        
+        annotateSettingsTitle = {}
+        #annotateSettingsLabel['xycoords']=('figure fraction', 'figure fraction')
+        annotateSettingsTitle['ha']         = 'center'
+        annotateSettingsTitle['va']         = 'baseline'
+        annotateSettingsTitle['fontsize']   = 'xx-large'
+        annotateSettingsTitle['fontweight'] = 'bold'
+        
+        annotateSettingsLabel = {}
+        #annotateSettingsLabel['xycoords']=('figure fraction', 'figure fraction') 
+        annotateSettingsLabel['ha']         = 'right'
+        annotateSettingsLabel['va']         = 'baseline'
+        #annotateSettingsLabel['fontsize']   = 'large'
+        annotateSettingsLabel['fontweight'] = 'semibold'
+        
+        annotateSettingsText = {}
+        #annotateSettingsText['xycoords']=('figure fraction', 'figure fraction') 
+        annotateSettingsText['ha']         = 'left'
+        annotateSettingsText['va']         = 'baseline'
+        #annotateSettingsText['fontsize']   = 'large'
+        annotateSettingsText['fontweight'] = 'medium'
+        
+        
+        #ax.set_title('Fitting Report for {0}'.format(solObj.name))
+        ax.text(0.5, 0.8, 'Fitting Report for {0}'.format(solObj.name), **annotateSettingsTitle)
+        
+        def myAnnotate(label,text,x=0.0,y=0.0):
+            dx = 0.005
+            ax.text(x-dx,y, label, **annotateSettingsLabel)
+            ax.text(x+dx,y, text,  **annotateSettingsText)
+        
+        #ax.annotate(r'Enthalpy [$\mathdefault{10^5\!J/kg}$]', xy=(0.25, 0.03), **annotateSettings)
+        #ax.annotate(r'Enthalpy [$\mathdefault{10^5\!J/kg}$]', xy=(0.25, 0.03), **annotateSettings)
+        
+        dx = 0.50
+        dy = 0.10
+        
+        xStart = 0.175 ; x = xStart
+        yStart = 0.575; y = yStart
+        
+        #myAnnotate('Name: ',solObj.name,x=x,y=y); x += .0; y -= dy        
+        myAnnotate('Description: ',solObj.description,x=x,y=y); x += .0; y -= dy
+        myAnnotate('Source: ',solObj.reference,x=x,y=y); x += .0; y -= dy
+        myAnnotate('Temperature: ',u'{0} \u00B0C to {1} \u00B0C'.format(solObj.Tmin-273.15, solObj.Tmax-273.15),x=x,y=y); x += .0; y -= dy
+        conc = False
+        if solObj.xid==solObj.ifrac_mass: conc=True
+        if solObj.xid==solObj.ifrac_volume: conc=True
+        if solObj.xid==solObj.ifrac_mole: conc=True
+        if conc==True:
+            myAnnotate('Composition: ',u'{0} % to {1} %, {2}'.format(solObj.xmin*100., solObj.xmax*100., solObj.xid),x=x,y=y); x += .0; y -= dy
+        else:
+            x += .0; y -= dy
+            
+        if solObj.density.source!=solObj.density.SOURCE_NOT_SET:
+            myAnnotate('Density: ',u'{0} to {1} {2}'.format(solObj.density.source, solObj.density.type, solObj.density.coeffs.shape),x=x,y=y)
+        x += .0; y -= dy
+        if solObj.specific_heat.source!=solObj.specific_heat.SOURCE_NOT_SET:
+            myAnnotate('Spec. Heat: ',u'{0} to {1} {2}'.format(solObj.specific_heat.source, solObj.specific_heat.type, solObj.specific_heat.coeffs.shape),x=x,y=y)
+        x += .0; y -= dy
+            
+        x = xStart + dx; y = yStart-dy-dy
+        if solObj.conductivity.source!=solObj.conductivity.SOURCE_NOT_SET:
+            myAnnotate('Th. Cond.: ',u'{0} to {1} {2}'.format(solObj.conductivity.source, solObj.conductivity.type, solObj.conductivity.coeffs.shape),x=x,y=y)
+        x += .0; y -= dy
+        if solObj.viscosity.source!=solObj.viscosity.SOURCE_NOT_SET:
+            myAnnotate('Viscosity: ',u'{0} to {1} {2}'.format(solObj.viscosity.source, solObj.viscosity.type, solObj.viscosity.coeffs.shape),x=x,y=y)
+        x += .0; y -= dy
+        if solObj.saturation_pressure.source!=solObj.saturation_pressure.SOURCE_NOT_SET:
+            myAnnotate('Psat: ',u'{0} to {1} {2}'.format(solObj.saturation_pressure.source, solObj.saturation_pressure.type, solObj.saturation_pressure.coeffs.shape),x=x,y=y)
+        x += .0; y -= dy
+        if solObj.T_freeze.source!=solObj.T_freeze.SOURCE_NOT_SET:
+            myAnnotate('Tfreeze: ',u'{0} to {1} {2}'.format(solObj.T_freeze.source, solObj.T_freeze.type, solObj.T_freeze.coeffs.shape),x=x,y=y)
+        x += .0; y -= dy
+
+        
+        #ax5.set_xlabel(ur'$\mathregular{Temperature\/(\u00B0C)}$')
+        
+        #x += dx; y = yStart
+        #myAnnotate('Name: ',solObj.name,x=x,y=y); x += .0; y -= dy
+        
+        ax.set_xlim((0,1))
+        ax.set_ylim((0,1))
+    
+    
+    def printFitDetails(self):
+        pass
+    
+    
+    
+    def makeFitReportPage(self, solObj=SolutionData()):
+        """
+        Creates a whole page with some plots and basic information
+        for both fit quality, reference data, data sources and 
+        more. 
+        """
+        
+        # First we determine some basic settings       
+        
+        gs = gridspec.GridSpec(4, 2, height_ratios=[2,3,3,3])
+        #gs.update(top=0.75, hspace=0.05)
+        div = 22
+        fig = plt.figure(figsize=(210/div,297/div))
+        table_axis         = plt.subplot(gs[0,:], frame_on=False)
+        
+        
+        
+        
+        
+        
+        
+        # Setting the labels
+        errLabel = r'$\mathdefault{rel.\/Error\/[\%]}$'
+        
+        if solObj.density.source!=solObj.density.SOURCE_NOT_SET:
+            density_axis       = plt.subplot(gs[1,0])
+            density_error      = density_axis.twinx()
+            density_axis.set_ylabel(r'Density [$\mathdefault{kg/m^3\!}$]')
+            density_error.set_ylabel(errLabel)
+            self.plotValues(density_axis,density_error,solObj=solObj,dataObj=solObj.density,func=solObj.rho)
+        else:
+            raise ValueError("Density data has to be provided!")
+            
+        if solObj.specific_heat.source!=solObj.specific_heat.SOURCE_NOT_SET:
+            capacity_axis      = plt.subplot(gs[1,1])
+            capacity_error     = capacity_axis.twinx()
+            capacity_axis.set_ylabel(r'Heat Capacity [$\mathdefault{J/kg/K}$]')
+            capacity_error.set_ylabel(errLabel)
+            self.plotValues(capacity_axis,capacity_error,solObj=solObj,dataObj=solObj.specific_heat,func=solObj.c)
+        else:
+            raise ValueError("Specific heat data has to be provided!")
+            
+        # Optional plots, might not all be shown
+        if solObj.conductivity.source!=solObj.conductivity.SOURCE_NOT_SET:
+            conductivity_axis  = plt.subplot(gs[2,0])#, sharex=density_axis)
+            conductivity_error = conductivity_axis.twinx()
+            conductivity_axis.set_ylabel(r'Thermal Conductivity [$\mathdefault{W/m/K}$]')
+            conductivity_error.set_ylabel(errLabel)
+            self.plotValues(conductivity_axis,conductivity_error,solObj=solObj,dataObj=solObj.conductivity,func=solObj.cond)
+            
+        if solObj.viscosity.source!=solObj.viscosity.SOURCE_NOT_SET:
+            viscosity_axis     = plt.subplot(gs[2,1])#, sharex=capacity_axis)
+            viscosity_error    = viscosity_axis.twinx()
+            viscosity_axis.set_yscale('log')
+            viscosity_axis.set_ylabel(r'Dynamic Viscosity [$\mathdefault{Pa\/s}$]')
+            viscosity_error.set_ylabel(errLabel)
+            self.plotValues(viscosity_axis,viscosity_error,solObj=solObj,dataObj=solObj.viscosity,func=solObj.visc)  
+            
+        if solObj.saturation_pressure.source != solObj.saturation_pressure.SOURCE_NOT_SET: # exists
+            saturation_axis  = plt.subplot(gs[3,0])#, sharex=density_axis)
+            saturation_error = saturation_axis.twinx()
+            saturation_axis.set_yscale('log')
+            saturation_axis.set_ylabel(r'Saturation Pressure [$\mathdefault{Pa}$]')
+            saturation_error.set_ylabel(errLabel)
+            self.plotValues(saturation_axis,saturation_error,solObj=solObj,dataObj=solObj.saturation_pressure,func=solObj.psat)
+            
+        if solObj.T_freeze.source != solObj.T_freeze.SOURCE_NOT_SET: # exists
+            Tfreeze_axis     = plt.subplot(gs[3,1])#, sharex=capacity_axis)
+            Tfreeze_error    = Tfreeze_axis.twinx()
+            Tfreeze_axis.set_ylabel(r'Freezing Temperature [$\mathdefault{K}$]')
+            Tfreeze_error.set_ylabel(errLabel)
+            self.plotValues(Tfreeze_axis,Tfreeze_error,solObj=solObj,dataObj=solObj.T_freeze,func=solObj.Tfreeze)
+            
+        #saturation_axis   = plt.subplot2grid((3,2), (2,0))
+        #Tfreeze_axis       = plt.subplot2grid((3,2), (2,0))
+        #mass2input_axis   = plt.subplot2grid((3,2), (2,0))
+        #volume2input_axis = plt.subplot2grid((3,2), (2,0))
+        
+        # print headlines etc.
+        self.printFluidInfo(table_axis, solObj)
+        # Prepare the legend
+        legenddict = {}
+        for a in fig.axes:
+            handles, labels = a.get_legend_handles_labels()
+            for i in range(len(labels)):
+                legenddict[labels[i]] = handles[i]
+                
+        legKey  = ["Legend: "]
+        legVal  = [Rectangle((0, 0), 1, 1, alpha=0.0)]
+        legKey += legenddict.keys()
+        legVal += legenddict.values()
+        legKey += [" "]
+        legVal += [Rectangle((0, 0), 1, 1, alpha=0.0)]
+        
+        table_axis.legend( 
+          legVal, legKey, 
+          bbox_to_anchor=(0.0, 0.015, 1., 0.015), 
+          ncol=len(legKey), mode="expand", borderaxespad=0.,
+          numpoints=1)
+        #table_axis.legend(handles, labels, bbox_to_anchor=(0.0, -0.1), loc=2, ncol=3)
+
+#
+#        
+#        
+#        
+#        
+#        
+#        
+#        t = arange(0.01, 5.0, 0.01)
+#s1 = sin(2*pi*t)
+#s2 = exp(-t)
+#s3 = sin(4*pi*t)
+#ax1 = subplot(311)
+#plot(t,s1)
+#setp( ax1.get_xticklabels(), fontsize=6)
+#
+### share x only
+#ax2 = subplot(312, sharex=ax1)
+#plot(t, s2)
+## make these tick labels invisible
+#setp( ax2.get_xticklabels(), visible=False)
+#
+## share x and y
+#ax3 = subplot(313,  sharex=ax1, sharey=ax1)
+#plot(t, s3)
+#xlim(0.01,5.0)
+#show()
+
+        gs.tight_layout(fig)#, rect=[0, 0, 1, 0.75])
+        # Fine-tune figure; make subplots close to each other 
+        # and hide x ticks for all but bottom plot.
+        #fig.subplots_adjust(wspace=0)
+        #plt.setp([a.get_xticklabels() for a in fig.axes[:-1]], visible=False)
+        
+        plt.savefig(os.path.join("report","{0}_fitreport.pdf".format(solObj.name)))
+        plt.close()
+
+        
+        
+        
+        pass
+    
+    
+    
+        
+    
+    
         
         
 #class FitGraphWriter(object):
@@ -266,15 +798,7 @@ class SolutionDataWriter(object):
 ##        containerList += [ZS10(), ZS25(), ZS40(), ZS45(), ZS55()]
 #        return containerList
 #    
-#    def relError(A=[],B=[],PCT=False):
-#        """
-#        Returns the relative Error from (A-B)/B, if PCT is True, it returns percent.
-#        """
-#        result = (np.array(A)-np.array(B))/np.array(B);
-#        if PCT:
-#            return result * 100. 
-#        else:
-#            return result
+
 #        
 #        
 #    def makePlots(self, fluid):
diff --git a/dev/incompressible_liquids/DEB.json b/dev/incompressible_liquids/DEB.json
deleted file mode 100644
index 5a2848b3..00000000
--- a/dev/incompressible_liquids/DEB.json
+++ /dev/null
@@ -1,80 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  0.00000e+00, 
-  "Tmax":  3.73150e+02, 
-  "Tmin":  1.93150e+02, 
-  "TminPsat":  3.73150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         1.89132e-04
-      ], 
-      [
-        -2.06364e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.07650e+03
-      ], 
-      [
-        -7.31182e-01
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Diethylbenzene mixture - Dowtherm J Dow Chemical Co.", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "DEB", 
-  "reference": "Melinder-BOOK-2010", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         9.99729e+02
-      ], 
-      [
-         2.87576e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         3.55030e+00
-      ], 
-      [
-        -5.66396e-02
-      ], 
-      [
-         7.03331e-05
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/DowJ.json b/dev/incompressible_liquids/DowJ.json
deleted file mode 100644
index 91e17ee6..00000000
--- a/dev/incompressible_liquids/DowJ.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  4.05650e+02, 
-  "Tmax":  6.18150e+02, 
-  "Tmin":  1.93150e+02, 
-  "TminPsat":  3.23150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         1.04518e-01
-      ], 
-      [
-        -2.12843e-04
-      ], 
-      [
-        -3.45327e-09
-      ], 
-      [
-         3.58008e-11
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         7.75459e+02
-      ], 
-      [
-        -8.53428e-01
-      ], 
-      [
-        -1.06580e-03
-      ], 
-      [
-        -2.92227e-06
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "DowthermJ", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "DowJ", 
-  "reference": "Dow Chemicals data sheet", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         2.20030e+03
-      ], 
-      [
-         3.58155e+00
-      ], 
-      [
-         4.04739e-03
-      ], 
-      [
-         6.78271e-06
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -8.08082e+00
-      ], 
-      [
-        -5.67888e-03
-      ], 
-      [
-         2.80778e-05
-      ], 
-      [
-        -8.60957e-08
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/DowJ2.json b/dev/incompressible_liquids/DowJ2.json
deleted file mode 100644
index 33801d42..00000000
--- a/dev/incompressible_liquids/DowJ2.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  3.94150e+02, 
-  "Tmax":  5.88150e+02, 
-  "Tmin":  2.00150e+02, 
-  "TminPsat":  5.88150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         1.24483e-01
-      ], 
-      [
-        -8.22866e-05
-      ], 
-      [
-        -4.62392e-10
-      ], 
-      [
-         1.31218e-11
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         7.84467e+02
-      ], 
-      [
-        -8.44939e-01
-      ], 
-      [
-        -8.67323e-04
-      ], 
-      [
-        -2.16321e-06
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Dowtherm J, Diethylbenzene mixture", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "DowJ2", 
-  "reference": "Dow Chemicals, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         2.16675e+03
-      ], 
-      [
-         3.62360e+00
-      ], 
-      [
-         3.14590e-03
-      ], 
-      [
-         2.11429e-08
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -3.39705e+00
-      ], 
-      [
-        -6.04223e-03
-      ], 
-      [
-         3.01309e-05
-      ], 
-      [
-        -1.02852e-07
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  0.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/DowQ.json b/dev/incompressible_liquids/DowQ.json
deleted file mode 100644
index b762cc54..00000000
--- a/dev/incompressible_liquids/DowQ.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  4.35650e+02, 
-  "Tmax":  6.33150e+02, 
-  "Tmin":  2.38150e+02, 
-  "TminPsat":  3.93150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         1.02427e-01
-      ], 
-      [
-        -1.50268e-04
-      ], 
-      [
-        -6.16856e-08
-      ], 
-      [
-         2.01708e-10
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         8.57503e+02
-      ], 
-      [
-        -7.53028e-01
-      ], 
-      [
-         1.62652e-05
-      ], 
-      [
-        -1.77561e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "DowthermQ", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "DowQ", 
-  "reference": "Dow Chemicals data sheet", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         2.09546e+03
-      ], 
-      [
-         3.02966e+00
-      ], 
-      [
-        -5.39847e-04
-      ], 
-      [
-        -8.59705e-08
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -7.87220e+00
-      ], 
-      [
-        -7.90718e-03
-      ], 
-      [
-         4.33865e-05
-      ], 
-      [
-        -1.50606e-07
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/DowQ2.json b/dev/incompressible_liquids/DowQ2.json
deleted file mode 100644
index c871c361..00000000
--- a/dev/incompressible_liquids/DowQ2.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  4.20650e+02, 
-  "Tmax":  6.03150e+02, 
-  "Tmin":  2.38150e+02, 
-  "TminPsat":  6.03150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         1.12964e-01
-      ], 
-      [
-        -1.66747e-04
-      ], 
-      [
-        -2.56024e-07
-      ], 
-      [
-         1.77943e-09
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         8.73686e+02
-      ], 
-      [
-        -7.65340e-01
-      ], 
-      [
-        -1.03470e-05
-      ], 
-      [
-         1.08805e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Dowtherm Q, Diphenylethane/alkylated aromatics", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "DowQ2", 
-  "reference": "Dow Chemicals, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         2.05210e+03
-      ], 
-      [
-         3.05246e+00
-      ], 
-      [
-        -5.70581e-04
-      ], 
-      [
-        -2.39204e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -2.92247e+00
-      ], 
-      [
-        -8.56067e-03
-      ], 
-      [
-         4.48552e-05
-      ], 
-      [
-        -1.85248e-07
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  0.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/ExampleDigital.json b/dev/incompressible_liquids/ExampleDigital.json
deleted file mode 100644
index cfc535cb..00000000
--- a/dev/incompressible_liquids/ExampleDigital.json
+++ /dev/null
@@ -1,115 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  3.86500e+02, 
-  "Tmax":  5.00000e+02, 
-  "Tmin":  2.73000e+02, 
-  "TminPsat":  2.73000e+02, 
-  "conductivity": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         8.23000e+02, 
-         4.86501e+02, 
-         1.25770e-03, 
-        -1.22838e-02, 
-        -8.31261e-03, 
-         3.23636e-02
-      ], 
-      [
-         2.00000e+00, 
-         1.00000e+00, 
-         4.19928e-05, 
-        -6.28733e-05, 
-        -1.22770e-04, 
-         0.00000e+00
-      ], 
-      [
-         1.02233e-08, 
-         4.05814e-08, 
-        -1.06230e-07, 
-        -2.78235e-07, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         4.11437e-10, 
-         6.05259e-11, 
-        -3.13824e-09, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "some fluid", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "ExampleDigital", 
-  "reference": "none", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         8.36650e+02, 
-         4.36500e+02, 
-         2.45855e-04, 
-         7.75294e-03, 
-         2.27666e-03, 
-        -2.27117e-02
-      ], 
-      [
-         2.10000e+00, 
-         9.99993e-01, 
-        -3.68693e-05, 
-        -5.69655e-06, 
-         1.22510e-04, 
-         0.00000e+00
-      ], 
-      [
-         1.64250e-08, 
-         1.86468e-08, 
-        -1.66197e-07, 
-        -2.16904e-07, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         2.67434e-10, 
-         7.86405e-10, 
-        -8.08087e-11, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  5.00000e-01, 
-  "xid": 0, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/ExampleMelinder.json b/dev/incompressible_liquids/ExampleMelinder.json
deleted file mode 100644
index e6548c4b..00000000
--- a/dev/incompressible_liquids/ExampleMelinder.json
+++ /dev/null
@@ -1,214 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-        -2.62900e+01, 
-        -1.18700e+02, 
-        -1.21800e+02, 
-        -6.82300e+01, 
-         1.29700e+01, 
-         2.36300e+02
-      ], 
-      [
-        -2.57500e-06, 
-        -1.60900e-03, 
-         3.86500e-03, 
-         2.13700e-02, 
-        -5.40700e-02, 
-         0.00000e+00
-      ], 
-      [
-        -6.73200e-06, 
-         3.42000e-05, 
-         8.76800e-05, 
-        -4.27100e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         1.63000e-07, 
-         5.68700e-08, 
-        -2.09500e-06, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.76686e+02, 
-  "Tmax":  3.13150e+02, 
-  "Tmin":  2.23150e+02, 
-  "TminPsat":  3.13150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.17500e-01, 
-        -4.42100e-01, 
-         2.04400e-01, 
-         2.94300e-01, 
-        -8.66600e-02, 
-        -2.03300e+00
-      ], 
-      [
-         7.27100e-04, 
-        -2.95200e-03, 
-         3.41300e-03, 
-        -9.64600e-04, 
-        -4.57300e-05, 
-         0.00000e+00
-      ], 
-      [
-         2.82300e-07, 
-         7.33600e-06, 
-        -3.66500e-05, 
-         3.17400e-05, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         9.71800e-09, 
-         4.32800e-08, 
-        -2.79100e-07, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         9.58100e+02, 
-        -1.39100e+02, 
-        -1.10500e+02, 
-        -1.20800e+02, 
-         4.92700e+02, 
-        -7.72700e+02
-      ], 
-      [
-        -4.15100e-01, 
-        -1.51000e+00, 
-         1.82800e+00, 
-         2.99200e+00, 
-        -1.32500e+01, 
-         0.00000e+00
-      ], 
-      [
-        -2.26100e-03, 
-         1.11300e-02, 
-        -1.64100e-02, 
-         1.45500e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         2.99800e-07, 
-        -3.26400e-05, 
-         1.51000e-04, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Methanol solution", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "ExampleMelinder", 
-  "reference": "Melinder Book", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.88700e+03, 
-        -1.85000e+03, 
-        -3.76900e+02, 
-        -3.77600e+03, 
-        -1.50400e+04, 
-         6.43300e+04
-      ], 
-      [
-         7.20100e+00, 
-         2.98400e+01, 
-        -1.19600e+02, 
-        -5.61100e+01, 
-         7.37300e+02, 
-         0.00000e+00
-      ], 
-      [
-        -8.97900e-02, 
-        -1.86500e-01, 
-         9.80100e-01, 
-        -7.81100e-01, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -4.39000e-04, 
-        -1.71800e-03, 
-         6.66000e-03, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         1.15300e+00, 
-         5.44800e-01, 
-        -5.55200e+00, 
-         3.03800e+00, 
-         6.66900e+00, 
-        -8.47200e+00
-      ], 
-      [
-        -3.86600e-02, 
-         1.00800e-02, 
-         8.38400e-02, 
-        -7.43500e-02, 
-        -9.10500e-02, 
-         0.00000e+00
-      ], 
-      [
-         2.77900e-04, 
-        -2.80900e-04, 
-        -3.99700e-04, 
-         7.44200e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -1.54300e-06, 
-         9.81100e-07, 
-        -3.46600e-06, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  3.05128e-01, 
-  "xid": 0, 
-  "xmax":  6.00000e-01, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/ExamplePure.json b/dev/incompressible_liquids/ExamplePure.json
deleted file mode 100644
index b5dae55c..00000000
--- a/dev/incompressible_liquids/ExamplePure.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  3.73150e+02, 
-  "Tmax":  4.23150e+02, 
-  "Tmin":  3.23150e+02, 
-  "TminPsat":  4.23150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         9.64802e-02
-      ], 
-      [
-        -1.80089e-04
-      ], 
-      [
-        -1.16550e-07
-      ], 
-      [
-        -9.71251e-10
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         7.02445e+02
-      ], 
-      [
-        -7.70319e-01
-      ], 
-      [
-        -5.36131e-04
-      ], 
-      [
-        -5.43901e-06
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Heat transfer fluid TherminolD12 by Solutia", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "ExamplePure", 
-  "reference": "Solutia data sheet", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         2.44653e+03
-      ], 
-      [
-         4.09602e+00
-      ], 
-      [
-        -2.07459e-03
-      ], 
-      [
-         1.94250e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -7.95256e-01
-      ], 
-      [
-        -9.66391e-03
-      ], 
-      [
-         2.71311e-05
-      ], 
-      [
-        -2.19029e-07
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/ExampleSecCool.json b/dev/incompressible_liquids/ExampleSecCool.json
deleted file mode 100644
index 4e6dc998..00000000
--- a/dev/incompressible_liquids/ExampleSecCool.json
+++ /dev/null
@@ -1,187 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-       2.77556e-01, 
-       2.50177e+02, 
-      -1.10405e+02, 
-      -1.20762e+02, 
-      -9.34346e+01
-    ], 
-    "type": "polyoffset"
-  }, 
-  "Tbase":  2.68670e+02, 
-  "Tmax":  2.93150e+02, 
-  "Tmin":  2.23150e+02, 
-  "TminPsat":  2.93150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.08207e-01, 
-        -3.98169e-01, 
-         1.58337e-01, 
-        -3.55205e-01, 
-        -9.88418e-02, 
-         4.46000e+00
-      ], 
-      [
-         6.62932e-04, 
-        -2.68648e-03, 
-         9.03915e-03, 
-        -2.12826e-02, 
-        -5.56200e-02, 
-         0.00000e+00
-      ], 
-      [
-         3.68597e-07, 
-         7.18842e-06, 
-        -1.04177e-04, 
-         2.27800e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         4.70340e-08, 
-         7.61236e-09, 
-        -2.73400e-06, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         9.60247e+02, 
-        -1.29038e+02, 
-        -1.61043e+02, 
-        -1.96989e+02, 
-         1.13156e+03, 
-         9.18200e+02
-      ], 
-      [
-        -4.02035e-01, 
-        -1.62464e+00, 
-         1.62330e+00, 
-         4.36734e+00, 
-         1.19900e+00, 
-         0.00000e+00
-      ], 
-      [
-        -2.52048e-03, 
-         1.10151e-02, 
-        -2.32022e-03, 
-         7.79500e-02, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         9.93748e-06, 
-        -1.34689e-04, 
-         4.14200e-04, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Methanol solution", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "ExampleSecCool", 
-  "reference": "SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.82297e+03, 
-        -2.31224e+03, 
-         6.78776e+02, 
-         2.24139e+03, 
-        -3.04533e+04, 
-        -4.75800e+04
-      ], 
-      [
-         2.35014e+00, 
-         1.78884e+01, 
-         6.82800e+00, 
-         2.10117e+02, 
-        -9.81200e+02, 
-         0.00000e+00
-      ], 
-      [
-        -4.72418e-04, 
-        -3.31795e-02, 
-         1.00203e+00, 
-        -5.30600e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         4.24219e-05, 
-         2.34719e-03, 
-        -1.89400e-02, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         1.47255e+00, 
-         2.22190e-01, 
-        -4.40614e+00, 
-         6.04798e+00, 
-        -1.95473e+01, 
-        -2.37200e+01
-      ], 
-      [
-        -4.11842e-02, 
-         1.78448e-02, 
-        -3.56441e-02, 
-         4.06467e-02, 
-         1.91500e+00, 
-         0.00000e+00
-      ], 
-      [
-         2.57286e-04, 
-        -9.22634e-05, 
-        -2.17858e-04, 
-        -9.53000e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -1.69984e-06, 
-        -1.02355e-05, 
-         4.48200e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  3.15700e-01, 
-  "xid": 0, 
-  "xmax":  5.00000e-01, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/ExampleSolution.json b/dev/incompressible_liquids/ExampleSolution.json
deleted file mode 100644
index cb9ef811..00000000
--- a/dev/incompressible_liquids/ExampleSolution.json
+++ /dev/null
@@ -1,115 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  2.45650e+02, 
-  "Tmax":  2.63150e+02, 
-  "Tmin":  2.28150e+02, 
-  "TminPsat":  2.63150e+02, 
-  "conductivity": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.02608e+03, 
-        -1.59017e+02, 
-         2.36323e+01, 
-        -5.55556e+01, 
-         3.78788e+01, 
-         1.50000e+03
-      ], 
-      [
-        -8.56582e-01, 
-         1.58439e+00, 
-        -4.88516e-01, 
-         5.82011e-01, 
-        -1.29870e+00, 
-         0.00000e+00
-      ], 
-      [
-        -2.05964e-02, 
-         2.96221e-02, 
-        -3.28798e-03, 
-         2.64550e-02, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -2.97643e-04, 
-         3.47763e-04, 
-         1.82780e-04, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Ethanol ice slurry", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "ExampleSolution", 
-  "reference": "SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         1.02608e+03, 
-        -1.59017e+02, 
-         2.36323e+01, 
-        -5.55556e+01, 
-         3.78788e+01, 
-         1.50000e+03
-      ], 
-      [
-        -8.56582e-01, 
-         1.58439e+00, 
-        -4.88516e-01, 
-         5.82011e-01, 
-        -1.29870e+00, 
-         0.00000e+00
-      ], 
-      [
-        -2.05964e-02, 
-         2.96221e-02, 
-        -3.28798e-03, 
-         2.64550e-02, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -2.97643e-04, 
-         3.47763e-04, 
-         1.82780e-04, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  2.00000e-01, 
-  "xid": 0, 
-  "xmax":  3.50000e-01, 
-  "xmin":  5.00000e-02
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/FRE.json b/dev/incompressible_liquids/FRE.json
deleted file mode 100644
index d7c4d266..00000000
--- a/dev/incompressible_liquids/FRE.json
+++ /dev/null
@@ -1,148 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.98106e+02
-      ], 
-      [
-        -3.00133e+02
-      ], 
-      [
-         8.29125e+02
-      ], 
-      [
-        -1.12384e+03
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.73150e+02, 
-  "Tmax":  3.13000e+02, 
-  "Tmin":  2.33000e+02, 
-  "TminPsat":  3.13000e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         5.50000e-01, 
-        -1.50000e-01
-      ], 
-      [
-         1.80000e-03, 
-        -1.60000e-03
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.01500e+03, 
-         4.62000e+02, 
-         4.06000e+02
-      ], 
-      [
-        -4.00000e-01, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Freezium, Potassium Formate", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "FRE", 
-  "reference": "Kemira Chemicals OY, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         4.15007e+03, 
-        -3.73615e+03, 
-         1.68816e+03, 
-        -5.26984e+02, 
-         1.46310e+02, 
-        -3.66773e+01
-      ], 
-      [
-         1.32829e-04, 
-         6.29744e+00, 
-         1.56653e-02, 
-        -3.77733e-02, 
-         3.04456e-02, 
-         0.00000e+00
-      ], 
-      [
-         1.08670e-05, 
-        -1.09058e-04, 
-         3.48881e-04, 
-        -3.60016e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -6.37982e-08, 
-         3.55343e-07, 
-        -3.13279e-07, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         7.51689e-01, 
-        -1.15630e+00, 
-         5.49895e+00, 
-        -1.50202e-01, 
-         1.17346e-03, 
-         1.79702e-02
-      ], 
-      [
-        -2.94067e-02, 
-         1.79238e-04, 
-         7.88887e-05, 
-        -1.18318e-04, 
-         4.34013e-05, 
-         0.00000e+00
-      ], 
-      [
-         2.57819e-04, 
-         6.73569e-09, 
-         1.82979e-07, 
-        -1.77535e-07, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -2.05848e-06, 
-        -3.34246e-10, 
-         5.46707e-10, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 0, 
-  "xmax":  5.00000e-01, 
-  "xmin":  1.90000e-01
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/GKN.json b/dev/incompressible_liquids/GKN.json
deleted file mode 100644
index 0074ec72..00000000
--- a/dev/incompressible_liquids/GKN.json
+++ /dev/null
@@ -1,203 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.52425e+02
-      ], 
-      [
-        -1.00000e+02
-      ], 
-      [
-        -1.12821e+02
-      ], 
-      [
-        -4.64500e-12
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.96650e+02, 
-  "Tmax":  3.73150e+02, 
-  "Tmin":  2.20150e+02, 
-  "TminPsat":  3.73150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.60277e-01, 
-        -3.81899e-01, 
-         3.09173e-01, 
-        -7.33864e-03, 
-         2.48754e-02, 
-         5.95325e-02
-      ], 
-      [
-         1.11313e-04, 
-        -2.53096e-03, 
-         1.24601e-05, 
-        -4.77692e-05, 
-         9.81440e-05, 
-         0.00000e+00
-      ], 
-      [
-         4.05963e-07, 
-         4.03756e-08, 
-        -4.26908e-07, 
-         2.08869e-06, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         3.15934e-10, 
-        -2.03580e-09, 
-         2.52243e-10, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.05004e+00, 
-         1.56028e-01, 
-        -2.66321e-02, 
-         4.00164e-03, 
-         1.79194e-02, 
-        -4.30066e-02
-      ], 
-      [
-        -5.15933e-04, 
-        -4.67777e-04, 
-        -1.47142e-06, 
-        -8.72892e-05, 
-         1.46494e-04, 
-         0.00000e+00
-      ], 
-      [
-        -1.25050e-06, 
-         2.02559e-08, 
-        -4.44693e-07, 
-         9.18461e-07, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -1.10111e-10, 
-        -3.79497e-10, 
-         4.11111e-09, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Glykosol N, Ethylene Glycol", 
-  "mass2input": {
-    "coeffs": [
-      [
-         3.23764e-01, 
-         9.63226e-01, 
-         9.54613e-02, 
-         8.72995e-02, 
-         2.98500e-01, 
-        -1.58414e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "GKN", 
-  "reference": "pro KUEHLSOLE GmbH, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.63138e+00, 
-        -1.88371e+00, 
-         2.89502e-02, 
-        -5.88121e-02, 
-         1.45875e-01, 
-         7.88241e-01
-      ], 
-      [
-         2.19713e-03, 
-         6.00296e-03, 
-         4.10221e-04, 
-        -2.54501e-05, 
-        -4.01495e-03, 
-         0.00000e+00
-      ], 
-      [
-         1.08538e-06, 
-        -2.43341e-07, 
-        -1.10224e-06, 
-         7.27286e-06, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -4.60535e-11, 
-         6.20175e-10, 
-        -2.37499e-08, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         8.92715e-01, 
-         2.77904e+00, 
-        -7.37108e-01, 
-         9.68505e-01, 
-        -1.94212e-01, 
-         3.78094e+00
-      ], 
-      [
-        -2.76413e-02, 
-        -7.14820e-03, 
-        -3.01987e-02, 
-         1.25318e-03, 
-         7.89611e-03, 
-         0.00000e+00
-      ], 
-      [
-         2.58627e-04, 
-         2.53655e-04, 
-         8.79675e-06, 
-        -1.17152e-05, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -2.12787e-06, 
-         4.91620e-08, 
-        -2.30143e-07, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  3.50000e-01, 
-  "xid": 2, 
-  "xmax":  6.00000e-01, 
-  "xmin":  1.00000e-01
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/HC10.json b/dev/incompressible_liquids/HC10.json
deleted file mode 100644
index 84361684..00000000
--- a/dev/incompressible_liquids/HC10.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  3.77150e+02, 
-  "Tmax":  4.91150e+02, 
-  "Tmin":  2.63150e+02, 
-  "TminPsat":  2.93150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         6.08000e-01
-      ], 
-      [
-         1.00000e-03
-      ], 
-      [
-        -1.15938e-19
-      ], 
-      [
-         8.15799e-20
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.15199e+03
-      ], 
-      [
-        -4.53612e-01
-      ], 
-      [
-         2.84297e-05
-      ], 
-      [
-         1.12843e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Dynalene HC10", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "HC10", 
-  "reference": "Dynalene data sheet", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.52872e+03
-      ], 
-      [
-         2.48064e+00
-      ], 
-      [
-         2.49312e-06
-      ], 
-      [
-        -1.04759e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -7.36367e+00
-      ], 
-      [
-        -9.45806e-03
-      ], 
-      [
-         2.79079e-05
-      ], 
-      [
-        -7.43936e-08
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/HC20.json b/dev/incompressible_liquids/HC20.json
deleted file mode 100644
index 8991668b..00000000
--- a/dev/incompressible_liquids/HC20.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  3.68150e+02, 
-  "Tmax":  4.83150e+02, 
-  "Tmin":  2.53150e+02, 
-  "TminPsat":  2.93150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         5.98000e-01
-      ], 
-      [
-         1.00000e-03
-      ], 
-      [
-         0.00000e+00
-      ], 
-      [
-         2.49882e-20
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.19828e+03
-      ], 
-      [
-        -5.18276e-01
-      ], 
-      [
-         1.01855e-05
-      ], 
-      [
-        -2.85276e-08
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Dynalene HC20", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "HC20", 
-  "reference": "Dynalene data sheet", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.38862e+03
-      ], 
-      [
-         2.35998e+00
-      ], 
-      [
-        -7.60109e-06
-      ], 
-      [
-         1.87681e-09
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -7.11990e+00
-      ], 
-      [
-        -1.03133e-02
-      ], 
-      [
-         2.99793e-05
-      ], 
-      [
-        -7.45714e-08
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/HC30.json b/dev/incompressible_liquids/HC30.json
deleted file mode 100644
index e2071dde..00000000
--- a/dev/incompressible_liquids/HC30.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  3.63150e+02, 
-  "Tmax":  4.83150e+02, 
-  "Tmin":  2.43150e+02, 
-  "TminPsat":  2.93150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         5.89000e-01
-      ], 
-      [
-         1.00000e-03
-      ], 
-      [
-         1.11067e-19
-      ], 
-      [
-         1.15402e-19
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.23944e+03
-      ], 
-      [
-        -5.10221e-01
-      ], 
-      [
-        -2.99145e-05
-      ], 
-      [
-         1.14298e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Dynalene HC30", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "HC30", 
-  "reference": "Dynalene data sheet", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.23846e+03
-      ], 
-      [
-         2.30730e+00
-      ], 
-      [
-        -4.08770e-06
-      ], 
-      [
-         3.22061e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -6.92111e+00
-      ], 
-      [
-        -1.09172e-02
-      ], 
-      [
-         3.30391e-05
-      ], 
-      [
-        -9.22402e-08
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/HC40.json b/dev/incompressible_liquids/HC40.json
deleted file mode 100644
index 8b80ba78..00000000
--- a/dev/incompressible_liquids/HC40.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  3.53150e+02, 
-  "Tmax":  4.73150e+02, 
-  "Tmin":  2.33150e+02, 
-  "TminPsat":  2.93150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         5.69000e-01
-      ], 
-      [
-         1.00000e-03
-      ], 
-      [
-        -2.42754e-19
-      ], 
-      [
-        -1.70889e-19
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.28145e+03
-      ], 
-      [
-        -5.60456e-01
-      ], 
-      [
-        -1.53159e-05
-      ], 
-      [
-         1.22289e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Dynalene HC40", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "HC40", 
-  "reference": "Dynalene data sheet", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.07123e+03
-      ], 
-      [
-         2.28905e+00
-      ], 
-      [
-         9.90950e-05
-      ], 
-      [
-        -2.20995e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -6.74808e+00
-      ], 
-      [
-        -9.88935e-03
-      ], 
-      [
-         4.98887e-05
-      ], 
-      [
-        -2.91405e-07
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/HC50.json b/dev/incompressible_liquids/HC50.json
deleted file mode 100644
index d65c0feb..00000000
--- a/dev/incompressible_liquids/HC50.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  3.53150e+02, 
-  "Tmax":  4.83150e+02, 
-  "Tmin":  2.23150e+02, 
-  "TminPsat":  2.93150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         5.65023e-01
-      ], 
-      [
-         1.00076e-03
-      ], 
-      [
-        -6.84182e-09
-      ], 
-      [
-        -1.06428e-10
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.30629e+03
-      ], 
-      [
-        -5.55318e-01
-      ], 
-      [
-        -5.76818e-06
-      ], 
-      [
-         6.22196e-08
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Dynalene HC50", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "HC50", 
-  "reference": "Dynalene data sheet", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         2.81894e+03
-      ], 
-      [
-         1.97098e+00
-      ], 
-      [
-         4.50507e-06
-      ], 
-      [
-        -1.21164e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -6.58418e+00
-      ], 
-      [
-        -9.17161e-03
-      ], 
-      [
-         6.16575e-05
-      ], 
-      [
-        -3.96030e-07
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/HCB.json b/dev/incompressible_liquids/HCB.json
deleted file mode 100644
index be977a89..00000000
--- a/dev/incompressible_liquids/HCB.json
+++ /dev/null
@@ -1,80 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  0.00000e+00, 
-  "Tmax":  3.73150e+02, 
-  "Tmin":  1.93150e+02, 
-  "TminPsat":  3.73150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         2.03186e-04
-      ], 
-      [
-        -2.38690e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.07178e+03
-      ], 
-      [
-        -7.72024e-01
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Hydrocarbon blend - Dynalene MV", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "HCB", 
-  "reference": "Melinder-BOOK-2010", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         7.61393e+02
-      ], 
-      [
-         3.52976e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         7.16819e+00
-      ], 
-      [
-        -8.63212e-02
-      ], 
-      [
-         1.30604e-04
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/HCM.json b/dev/incompressible_liquids/HCM.json
deleted file mode 100644
index c3ab65c0..00000000
--- a/dev/incompressible_liquids/HCM.json
+++ /dev/null
@@ -1,80 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  0.00000e+00, 
-  "Tmax":  3.73150e+02, 
-  "Tmin":  1.93150e+02, 
-  "TminPsat":  3.73150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         1.53716e-04
-      ], 
-      [
-        -1.51212e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         9.71725e+02
-      ], 
-      [
-        -7.18788e-01
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Hydrocarbon mixture (synthetic) - Therminol D12 (Gilotherm D12) Solutia", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "HCM", 
-  "reference": "Melinder-BOOK-2010", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         8.44023e+02
-      ], 
-      [
-         4.31212e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         1.83237e+01
-      ], 
-      [
-        -1.47060e-01
-      ], 
-      [
-         2.09096e-04
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/HFE.json b/dev/incompressible_liquids/HFE.json
deleted file mode 100644
index b95c1a34..00000000
--- a/dev/incompressible_liquids/HFE.json
+++ /dev/null
@@ -1,80 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  0.00000e+00, 
-  "Tmax":  3.73150e+02, 
-  "Tmin":  1.93150e+02, 
-  "TminPsat":  3.73150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         9.92958e-05
-      ], 
-      [
-        -8.33333e-08
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.82237e+03
-      ], 
-      [
-        -9.18485e-01
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Hydrofluoroether - HFE-7100 3M Novec", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "HFE", 
-  "reference": "Melinder-BOOK-2010", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         8.71834e+02
-      ], 
-      [
-         8.58788e+05
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -4.22878e+00
-      ], 
-      [
-        -1.14765e-02
-      ], 
-      [
-         7.39823e-06
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/HFE2.json b/dev/incompressible_liquids/HFE2.json
deleted file mode 100644
index ccd3f056..00000000
--- a/dev/incompressible_liquids/HFE2.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  2.65120e+02, 
-  "Tmax":  3.37420e+02, 
-  "Tmin":  1.92820e+02, 
-  "TminPsat":  3.37420e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         7.52837e-02
-      ], 
-      [
-        -1.95480e-04
-      ], 
-      [
-        -2.46523e-14
-      ], 
-      [
-         6.92101e-16
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.55652e+03
-      ], 
-      [
-        -2.26900e+00
-      ], 
-      [
-         7.67087e-16
-      ], 
-      [
-         2.36356e-17
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "HFE-7100, Hydrofluoroether", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "HFE2", 
-  "reference": "3M Novec, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         1.11694e+03
-      ], 
-      [
-         2.00000e+00
-      ], 
-      [
-        -6.23186e-16
-      ], 
-      [
-        -4.44414e-16
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -5.75185e-01
-      ], 
-      [
-        -1.47112e-02
-      ], 
-      [
-         1.03197e-04
-      ], 
-      [
-        -7.16839e-07
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  0.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/LiBr.json b/dev/incompressible_liquids/LiBr.json
deleted file mode 100644
index 5e522d96..00000000
--- a/dev/incompressible_liquids/LiBr.json
+++ /dev/null
@@ -1,115 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  3.86500e+02, 
-  "Tmax":  5.00000e+02, 
-  "Tmin":  2.73000e+02, 
-  "TminPsat":  2.73000e+02, 
-  "conductivity": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.30043e+03, 
-         1.27751e+03, 
-         1.18842e+03, 
-         1.07990e+03, 
-         1.34800e+03, 
-         1.19202e+03
-      ], 
-      [
-        -8.17505e-01, 
-         4.80861e-02, 
-         1.13474e+00, 
-         5.49205e+00, 
-         9.08744e+00, 
-         0.00000e+00
-      ], 
-      [
-        -2.09354e-03, 
-         3.34592e-03, 
-         1.63423e-02, 
-         3.01025e-02, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         7.36860e-06, 
-         2.86446e-05, 
-         5.36525e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Lithium-Bromide solution from Patek2006", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "LiBr", 
-  "reference": "Patek2006", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         2.64134e+03, 
-        -3.42700e+03, 
-         3.32419e+03, 
-        -1.53991e+03, 
-        -1.17986e+04, 
-         2.48575e+03
-      ], 
-      [
-         5.85767e-01, 
-        -1.30817e+00, 
-         2.46563e+00, 
-         1.23291e+00, 
-         1.10337e+01, 
-         0.00000e+00
-      ], 
-      [
-        -8.16942e-05, 
-        -3.52563e-02, 
-         1.71158e-02, 
-        -8.64993e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         1.46864e-04, 
-         1.54841e-04, 
-        -4.12861e-04, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  3.75000e-01, 
-  "xid": 0, 
-  "xmax":  7.50000e-01, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/LinearAlgebra.ipynb b/dev/incompressible_liquids/LinearAlgebra.ipynb
deleted file mode 100644
index 6c511307..00000000
--- a/dev/incompressible_liquids/LinearAlgebra.ipynb
+++ /dev/null
@@ -1,306 +0,0 @@
-{
- "metadata": {
-  "name": "",
-  "signature": "sha256:6de5b361bf724471b38e3a32d973641aeac571541b15819486c1f0449e310b07"
- },
- "nbformat": 3,
- "nbformat_minor": 0,
- "worksheets": [
-  {
-   "cells": [
-    {
-     "cell_type": "heading",
-     "level": 1,
-     "metadata": {},
-     "source": [
-      "Linear algebra for multidimensional polynomial fitting"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "import numpy as np\n",
-      "import itertools\n",
-      "# A small data set\n",
-      "#T_in = np.array([20,24,35,40])+273.15\n",
-      "#x_in = np.array([47,55,70,78,82])/100.0\n",
-      "#rho_in = np.array([[1047,1033,1020,1000,990],[997,983,970,950,940],[947,933,920,900,895],[987,883,870,850,845]])\n",
-      "#\n",
-      "# large data set\n",
-      "T_in   = np.array([   -45 ,    -40 ,    -35 ,    -30 ,    -25 ,    -20 ,    -15 ,    -10])+273.15 # Kelvin\n",
-      "x_in   = np.array([     5 ,     10 ,     15 ,     20 ,     25 ,     30 ,     35 ])/100.0 # mass fraction\n",
-      "        \n",
-      "rho_in = np.array([\n",
-      "          [1064.0,    1054.6,    1045.3,    1036.3,    1027.4,    1018.6,    1010.0],\n",
-      "          [1061.3,    1052.1,    1043.1,    1034.3,    1025.6,    1017.0,    1008.6],\n",
-      "          [1057.6,    1048.8,    1040.1,    1031.5,    1023.1,    1014.8,    1006.7],\n",
-      "          [1053.1,    1044.6,    1036.2,    1028.0,    1019.9,    1012.0,    1004.1],\n",
-      "          [1047.5,    1039.4,    1031.5,    1023.7,    1016.0,    1008.4,    1000.9],\n",
-      "          [1040.7,    1033.2,    1025.7,    1018.4,    1011.2,    1004.0,     997.0],\n",
-      "          [1032.3,    1025.3,    1018.5,    1011.7,    1005.1,     998.5,     992.0],\n",
-      "          [1021.5,    1015.3,    1009.2,    1003.1,     997.1,     991.2,     985.4]]) # kg/m3"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 13
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Minimizing the squared error $\\epsilon(\\mathbf{c}) = \\sqrt{\\sum (\\mathbf{z} - \\mathbf{A} \\cdot \\mathbf{c})^2 }$ can be achieved by solving the system of orthogonal equations given by $\\mathbf{A}^\\text{T}\\mathbf{A} \\cdot \\mathbf{c} =\\mathbf{A}^\\text{T}\\mathbf{z}$. Using Python tools, we can leave this to the software and we only have to construct the Van der Monde matrix $\\mathbf{A}$ of the independent variable and equate it with the result vector of the dependent variable."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "def getCoeffs1d(x,z,order):\n",
-      "    if (len(x)<order+1): \n",
-      "        raise ValueError(\"You have only {0} elements and try to fit {1} coefficients, please reduce the order.\".format(len(x),order+1))\n",
-      "    A = np.vander(x,order+1)[:,::-1]\n",
-      "    #Anew = np.dot(A.T,A)\n",
-      "    #znew = np.dot(A.T,z)\n",
-      "    #coeffs = np.linalg.solve(Anew, znew)\n",
-      "    coeffs = np.linalg.lstsq(A, z)[0]\n",
-      "    return coeffs\n",
-      "\n",
-      "xorder = 2\n",
-      "x = T_in[0:4]#T_in#T_in[0:4]#\n",
-      "z = rho_in[0:4,0]#rho_in#rho_in[0:4,0]#\n",
-      "coeffs = getCoeffs1d(x,z,xorder)\n",
-      "print coeffs\n",
-      "zf = np.polynomial.polynomial.polyval(x,coeffs)\n",
-      "print z[0]\n",
-      "print zf[0]\n",
-      "print z[-1]\n",
-      "print zf[-1]"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "[  2.31559095e+02   7.75540000e+00  -1.80000000e-02]\n",
-        "1064.0\n",
-        "1064.01\n",
-        "1053.1\n",
-        "1053.09\n"
-       ]
-      }
-     ],
-     "prompt_number": 14
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "We can extend the whole procedure to 2D, given that we have a solution matrix $\\mathbf{Z}$ instead of a vector. Since this potentially involves a large number of coefficients, we disregard the higher order terms in order to avoid overfitting. This is done by discarding terms with a sum of exponents higher than the largest single exponent. The pair of exponents for elements $\\mathbf{x}$ and $\\mathbf{y}$, $i$ and $j$, has to satisfy $ i+j \\leq \\max(k,l)$ with $k$ and $l$ being the highest exponents in $x$ and $y$ direction respectively. The matrix of exponent pairs $\\mathbf{E}$ for $k<l$ is therefore defined as $$ \\mathbf{E}_{i,j} =\n",
-      " \\begin{pmatrix}\n",
-      "   (0,0) &  (0,1) & \\cdots  & \\cdots  & \\cdots  & (0,l)  \\\\\n",
-      "   (1,0) & \\ddots &         &         & (1,l-1) & (0,0)  \\\\\n",
-      "  \\vdots &        &         & \\udots  & \\udots  & \\vdots \\\\\n",
-      "   (k,0) & \\cdots & (k,l-k) &  (0,0)  & \\cdots  & (0,0)  \n",
-      " \\end{pmatrix}\n",
-      " \\text{ yielding, for example, }\n",
-      "  \\begin{pmatrix}\n",
-      "   (0,0) & (0,1) & (0,2) & (0,3) & (0,4) \\\\\n",
-      "   (1,0) & (1,1) & (1,2) & (1,3) & (0,0) \\\\\n",
-      "   (2,0) & (2,1) & (2,2) & (0,0) & (0,0) \n",
-      " \\end{pmatrix}\n",
-      " \\text{ for $k=2$ and $l=4$. }\n",
-      " $$\n",
-      "Following the matrix notation would result in a 4-dimensional functional matrix from the Cartesian product of all elements of $\\mathbf{E}$ and the input vectors $\\mathbf{x}$ and $\\mathbf{y}$. However, having many linear algebra solvers available in 2D, it is more practical to manually reduce the dimensionality of $\\mathbf{A}$ to two. Each row of $\\mathbf{A}$ corresponds to an unique pair elements of the input vectors $\\mathbf{x}$ and $\\mathbf{y}$. Evaluating the resulting expression $x_n^i y_n^j$ for all non-zero entries of $\\mathbf{E}$ fills the columns of $\\mathbf{A}$ with values. Every row of $\\mathbf{A}$ can therefore be mapped to an entry in the solution matrix $\\mathbf{Z}$. A data set consisting of 10 entries in $x$ and 20 in $y$ requires $\\mathbf{Z}$ to have 200 elements and thus $\\mathbf{A}$ to have 200 rows. The example given above, $k=2$ and $l=4$, leads to 10 columns in $\\mathbf{A}$. After minimizing $\\epsilon(\\mathbf{c})$, information from $\\mathbf{E}$ can be used to convert the coefficient vector $\\mathbf{c}$ to a matrix to be used with two-dimensional polynomials."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "def getCoeffs2dmatrix(x_in,y_in,z_in,x_order,y_order):\n",
-      "    \n",
-      "    x_order += 1\n",
-      "    y_order += 1\n",
-      "    \n",
-      "    #To avoid overfitting, we only use the upper left triangle of the coefficient matrix\n",
-      "    x_exp = range(x_order)\n",
-      "    y_exp = range(y_order)\n",
-      "    limit = max(x_order,y_order)\n",
-      "    \n",
-      "    xy_exp = []\n",
-      "    \n",
-      "    # Construct the upper left triangle of coefficients    \n",
-      "    for i in x_exp:\n",
-      "        for j in y_exp:\n",
-      "            if(i+j<limit): xy_exp.append((i,j))\n",
-      "                \n",
-      "    x_num = len(x_in)\n",
-      "    y_num = len(y_in)\n",
-      "                \n",
-      "    cols = len(xy_exp)\n",
-      "    eqns = x_num * y_num\n",
-      "    #if (eqns<cols):\n",
-      "    #    raise ValueError(\"You have only {0} equations and try to fit {1} coefficients, please reduce the order.\".format(eqns,cols))   \n",
-      "    if (x_num<x_order):\n",
-      "        raise ValueError(\"You have only {0} x-entries and try to fit {1} x-coefficients, please reduce the x_order.\".format(x_num,x_order))\n",
-      "    if (y_num<y_order):\n",
-      "        raise ValueError(\"You have only {0} y-entries and try to fit {1} y-coefficients, please reduce the y_order.\".format(y_num,y_order))\n",
-      "    \n",
-      "    #Create functional matrix\n",
-      "    A = np.zeros((x_num,y_num,x_order,y_order))\n",
-      "    for i in range(x_num):\n",
-      "        for j in range(y_num):\n",
-      "            for (xk,yk) in xy_exp:\n",
-      "                A[i][j][xk][yk] = x[i]**xk * y[j]**yk\n",
-      "                \n",
-      "    raise NotImplementedError(\"No 4-dimensional solver implemented\")\n",
-      "    \n",
-      "    \n",
-      "def getCoeffs2d(x_in,y_in,z_in,x_order,y_order):\n",
-      "    \n",
-      "    x_order += 1\n",
-      "    y_order += 1\n",
-      "    \n",
-      "    #To avoid overfitting, we only use the upper left triangle of the coefficient matrix\n",
-      "    x_exp = range(x_order)\n",
-      "    y_exp = range(y_order)\n",
-      "    limit = max(x_order,y_order)\n",
-      "    \n",
-      "    xy_exp = []\n",
-      "    \n",
-      "    # Construct the upper left triangle of coefficients    \n",
-      "    for i in x_exp:\n",
-      "        for j in y_exp:\n",
-      "            if(i+j<limit): xy_exp.append((i,j))\n",
-      "    \n",
-      "    # Construct input pairs   \n",
-      "    xx, yy = np.meshgrid(x_in,y_in,indexing='ij')\n",
-      "    xx = np.array(xx.flat)\n",
-      "    yy = np.array(yy.flat)\n",
-      "    zz = np.array(z_in.flat)\n",
-      "    \n",
-      "    x_num = len(x_in)\n",
-      "    y_num = len(y_in)\n",
-      "                \n",
-      "    cols = len(xy_exp)\n",
-      "    eqns = x_num * y_num\n",
-      "    #if (eqns<cols):\n",
-      "    #    raise ValueError(\"You have only {0} equations and try to fit {1} coefficients, please reduce the order.\".format(eqns,cols))   \n",
-      "    if (x_num<x_order):\n",
-      "        raise ValueError(\"You have only {0} x-entries and try to fit {1} x-coefficients, please reduce the x_order.\".format(x_num,x_order))\n",
-      "    if (y_num<y_order):\n",
-      "        raise ValueError(\"You have only {0} y-entries and try to fit {1} y-coefficients, please reduce the y_order.\".format(y_num,y_order))\n",
-      "    \n",
-      "    # Build the functional matrix\n",
-      "    A = np.zeros((eqns,cols))\n",
-      "    for i in range(eqns): # row loop\n",
-      "        for j, (xj,yj) in enumerate(xy_exp): # makes columns\n",
-      "            A[i][j] = xx[i]**xj * yy[i]**yj\n",
-      "             \n",
-      "    coeffs = np.linalg.lstsq(A, zz)[0]\n",
-      "    \n",
-      "    #Rearrange coefficients to a matrix shape\n",
-      "    C = np.zeros((x_order,y_order))\n",
-      "    for i, (xi,yi) in enumerate(xy_exp): # makes columns\n",
-      "        C[xi][yi] = coeffs[i]\n",
-      "        \n",
-      "    return C\n",
-      "\n",
-      "xorder = 3\n",
-      "yorder = 3\n",
-      "\n",
-      "x = T_in\n",
-      "y = x_in\n",
-      "z = rho_in\n",
-      "\n",
-      "coeffs = getCoeffs2d(x,y,z,xorder,yorder)\n",
-      "print coeffs\n",
-      "\n",
-      "print z[0][0]\n",
-      "print np.polynomial.polynomial.polyval2d(x[0],y[0],coeffs)\n",
-      "\n",
-      "print z[-1][-1]\n",
-      "print np.polynomial.polynomial.polyval2d(x[-1],y[-1],coeffs)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "[[  4.13353531e+03   1.18712872e+03   1.46361848e+02  -8.33333333e+00]\n",
-        " [ -4.16716735e+01  -1.29148475e+01  -4.77324263e-01   0.00000000e+00]\n",
-        " [  1.91354824e-01   3.00850340e-02   0.00000000e+00   0.00000000e+00]\n",
-        " [ -2.95815296e-04   0.00000000e+00   0.00000000e+00   0.00000000e+00]]\n",
-        "1064.0\n",
-        "1064.01648212\n",
-        "985.4\n",
-        "985.391852058\n"
-       ]
-      }
-     ],
-     "prompt_number": 42
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "%pylab inline\n",
-      "import matplotlib\n",
-      "matplotlib.rcParams['savefig.dpi'] = 2 * matplotlib.rcParams['savefig.dpi']\n",
-      "from mpl_toolkits.mplot3d import Axes3D\n",
-      "\n",
-      "# Construct input pairs   \n",
-      "xx, yy = np.meshgrid(x,y,indexing='ij')\n",
-      "xx = np.array(xx.flat)\n",
-      "yy = np.array(yy.flat)\n",
-      "zz = np.array(z.flat)\n",
-      "\n",
-      "zf = np.polynomial.polynomial.polyval2d(xx,yy,coeffs)\n",
-      "\n",
-      "fig  = plt.figure()\n",
-      "ax   = plt.axes(projection='3d')\n",
-      "ax.scatter(xx, yy, zz, color='blue', label='Original data')\n",
-      "ax.scatter(xx, yy, zf, color='red',  label='Fitted data')\n",
-      "#ax.plot(xx[0], yy[0], zs=zz[0], label='Fitted line', zdir='z')\n",
-      "ax.legend()"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "Populating the interactive namespace from numpy and matplotlib\n"
-       ]
-      },
-      {
-       "metadata": {},
-       "output_type": "display_data",
-       "png": 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gOUY1+leMAGbjg+UQN1KsCwTfVjECOF8GCLdeW6IykNAlhj3lCtxgMFgTD9JiBG61cLvo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XdZ+PWLSMt64hRB5ItMoih+qtZ1RmJVLsrhjheF1h8YO6JbVlaWcUCpo6MDQRASktja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\nrkJggg==\n",
-       "text": [
-        "<matplotlib.figure.Figure at 0xb0137ec>"
-       ]
-      }
-     ],
-     "prompt_number": 47
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [],
-     "language": "python",
-     "metadata": {},
-     "outputs": []
-    }
-   ],
-   "metadata": {}
-  }
- ]
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MAM.json b/dev/incompressible_liquids/MAM.json
deleted file mode 100644
index 66429952..00000000
--- a/dev/incompressible_liquids/MAM.json
+++ /dev/null
@@ -1,214 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-        -2.57600e+01, 
-        -2.38500e+02, 
-        -7.63600e+02, 
-        -2.61000e+03, 
-        -7.30000e+03, 
-        -1.07500e+04
-      ], 
-      [
-        -1.81700e-04, 
-         2.31500e-03, 
-        -2.29000e-02, 
-        -3.76000e-01, 
-         3.52400e+00, 
-         0.00000e+00
-      ], 
-      [
-         1.20400e-05, 
-         1.41500e-05, 
-        -2.62000e-03, 
-         1.36000e-02, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         5.56700e-07, 
-        -4.24400e-06, 
-         1.78600e-06, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.68501e+02, 
-  "Tmax":  3.03150e+02, 
-  "Tmin":  1.73150e+02, 
-  "TminPsat":  3.03150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.55100e-01, 
-        -5.21600e-01, 
-         8.90900e-01, 
-         6.80700e+00, 
-        -1.89800e+01, 
-        -1.36100e+02
-      ], 
-      [
-         1.67300e-03, 
-         3.54400e-04, 
-         3.52600e-02, 
-        -3.39400e-01, 
-         6.30400e-01, 
-         0.00000e+00
-      ], 
-      [
-        -2.21400e-06, 
-         1.05700e-04, 
-        -1.78200e-03, 
-         8.31500e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         1.22800e-07, 
-        -3.47400e-06, 
-         1.85800e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         9.44500e+02, 
-        -2.91400e+02, 
-         2.26200e+02, 
-        -6.68500e+02, 
-         1.63500e+02, 
-         6.29800e+03
-      ], 
-      [
-        -2.74300e-01, 
-        -2.30700e+00, 
-         6.64500e-01, 
-        -1.00200e+00, 
-         4.46500e+01, 
-         0.00000e+00
-      ], 
-      [
-        -3.11300e-03, 
-         1.34100e-02, 
-        -8.70000e-02, 
-         3.30900e-01, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         3.34900e-06, 
-        -5.15100e-05, 
-         8.99900e-04, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Ammonia (NH3)", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "MAM", 
-  "reference": "Melinder Book", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         4.23300e+03, 
-         1.14500e+02, 
-        -1.96500e+01, 
-         2.13100e+03, 
-         2.13600e+04, 
-        -8.55100e+04
-      ], 
-      [
-        -1.61800e+00, 
-         2.71500e+00, 
-         3.47200e+01, 
-         4.11700e+01, 
-        -1.35400e+03, 
-         0.00000e+00
-      ], 
-      [
-         1.61000e-02, 
-         1.07200e-01, 
-        -9.05100e-01, 
-         4.44600e-01, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         1.66200e-05, 
-        -5.26600e-03, 
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-  "xbase":  1.60784e-01, 
-  "xid": 0, 
-  "xmax":  3.00000e-01, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MAM2.json b/dev/incompressible_liquids/MAM2.json
deleted file mode 100644
index 927cac1d..00000000
--- a/dev/incompressible_liquids/MAM2.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
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-         2.48274e+02
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-      [
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-      ], 
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-    "type": "polynomial"
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-  "xid": 0, 
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-  "xmin":  7.80000e-02
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MCA.json b/dev/incompressible_liquids/MCA.json
deleted file mode 100644
index deead060..00000000
--- a/dev/incompressible_liquids/MCA.json
+++ /dev/null
@@ -1,214 +0,0 @@
-{
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-  }, 
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-    "type": "notdefined"
-  }, 
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-  "saturation_pressure": {
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-    "type": "notdefined"
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-  "xbase":  1.87414e-01, 
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-  "xmax":  3.00000e-01, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MCA2.json b/dev/incompressible_liquids/MCA2.json
deleted file mode 100644
index 36e86d00..00000000
--- a/dev/incompressible_liquids/MCA2.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
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-    "type": "polynomial"
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-  "conductivity": {
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-  }, 
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-  }, 
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-  "saturation_pressure": {
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-    "type": "notdefined"
-  }, 
-  "specific_heat": {
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-  "volume2input": {
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-  }, 
-  "xbase":  1.92000e-01, 
-  "xid": 0, 
-  "xmax":  2.94000e-01, 
-  "xmin":  9.00000e-02
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MEA.json b/dev/incompressible_liquids/MEA.json
deleted file mode 100644
index 61ce3a7c..00000000
--- a/dev/incompressible_liquids/MEA.json
+++ /dev/null
@@ -1,214 +0,0 @@
-{
-  "T_freeze": {
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-    "type": "polynomial"
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-  "Tbase":  2.81308e+02, 
-  "Tmax":  3.13150e+02, 
-  "Tmin":  1.73150e+02, 
-  "TminPsat":  3.13150e+02, 
-  "conductivity": {
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-    "type": "polynomial"
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-  "description": "Ethyl Alcohol (Ethanol)", 
-  "mass2input": {
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-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "MEA", 
-  "reference": "Melinder Book", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         4.20400e+03, 
-        -2.10200e+03, 
-        -3.71400e+03, 
-         1.74300e+04, 
-        -6.29200e+03, 
-        -8.29000e+04
-      ], 
-      [
-         2.31900e+00, 
-         4.92700e+01, 
-        -2.33500e+01, 
-        -2.96900e+02, 
-         5.35300e+02, 
-         0.00000e+00
-      ], 
-      [
-        -3.04200e-02, 
-        -3.07200e-01, 
-        -1.96000e-01, 
-         1.90100e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         6.86000e-04, 
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-         7.46100e-03, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         1.47400e+00, 
-         1.56500e+00, 
-        -8.43500e+00, 
-         7.55200e+00, 
-         1.52900e+01, 
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-      ], 
-      [
-        -4.74500e-02, 
-        -4.10600e-03, 
-         1.64000e-01, 
-        -1.11800e-01, 
-        -9.48100e-02, 
-         0.00000e+00
-      ], 
-      [
-         4.31400e-04, 
-        -5.13500e-04, 
-        -1.09100e-03, 
-         1.89900e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -3.02300e-06, 
-         7.00400e-06, 
-        -1.96700e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  2.92361e-01, 
-  "xid": 0, 
-  "xmax":  6.00000e-01, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MEA2.json b/dev/incompressible_liquids/MEA2.json
deleted file mode 100644
index 038e55d3..00000000
--- a/dev/incompressible_liquids/MEA2.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.48008e+02
-      ], 
-      [
-        -9.20317e+01
-      ], 
-      [
-         7.57949e+00
-      ], 
-      [
-         1.68742e+02
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.61150e+02, 
-  "Tmax":  2.93150e+02, 
-  "Tmin":  2.29150e+02, 
-  "TminPsat":  2.93150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         3.65996e-01, 
-        -4.35123e-01, 
-         1.94518e-01, 
-         7.66944e-01, 
-         4.68424e-01, 
-        -1.01200e+01
-      ], 
-      [
-         5.18284e-04, 
-        -2.29438e-03, 
-         4.14778e-03, 
-         1.77705e-03, 
-        -3.48600e-02, 
-         0.00000e+00
-      ], 
-      [
-        -4.27916e-09, 
-        -1.96645e-06, 
-         1.31080e-05, 
-        -1.43900e-05, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -1.22538e-08, 
-         3.47376e-08, 
-        -7.32499e-08, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         9.63916e+02, 
-        -1.38527e+02, 
-        -3.14723e+02, 
-         4.27596e+02, 
-         1.62071e+03, 
-        -6.41200e+03
-      ], 
-      [
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-        -2.65921e+00, 
-         4.93240e+00, 
-         1.47917e+01, 
-        -4.14100e+01, 
-         0.00000e+00
-      ], 
-      [
-        -3.98560e-03, 
-         3.26150e-02, 
-         1.65020e-02, 
-        -3.46000e-01, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         1.91533e-05, 
-        -4.45563e-05, 
-        -2.87500e-04, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Melinder, Ethanol", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "MEA2", 
-  "reference": "Melinder-BOOK-2010, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.99643e+03, 
-        -2.84625e+03, 
-        -1.53143e+03, 
-         9.30737e+03, 
-        -1.43187e+04, 
-         2.23500e+03
-      ], 
-      [
-         3.21812e+00, 
-         2.06561e+01, 
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-         9.48128e-01, 
-         2.54500e+02, 
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-      ], 
-      [
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-        -1.77278e-02, 
-         2.81940e-01, 
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-      ], 
-      [
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-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         7.24478e+00, 
-         3.63193e-01, 
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-      ], 
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-      [
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-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  3.55000e-01, 
-  "xid": 0, 
-  "xmax":  6.00000e-01, 
-  "xmin":  1.10000e-01
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MEG.json b/dev/incompressible_liquids/MEG.json
deleted file mode 100644
index 4141bc94..00000000
--- a/dev/incompressible_liquids/MEG.json
+++ /dev/null
@@ -1,214 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-        -1.52500e+01, 
-        -8.08000e+01, 
-        -1.33400e+02, 
-        -7.29300e+01, 
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-         1.14000e+01
-      ], 
-      [
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-        -1.33900e-04, 
-         6.32200e-04, 
-         1.76400e-03, 
-        -7.66200e-03, 
-         0.00000e+00
-      ], 
-      [
-        -2.27800e-07, 
-         2.04700e-06, 
-         2.37300e-06, 
-        -2.44200e-05, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         2.16900e-09, 
-        -2.71700e-09, 
-        -2.18300e-08, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  3.04878e+02, 
-  "Tmax":  3.73150e+02, 
-  "Tmin":  1.73150e+02, 
-  "TminPsat":  3.73150e+02, 
-  "conductivity": {
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-      [
-         4.72000e-01, 
-        -4.28600e-01, 
-         1.74700e-01, 
-         3.01700e-02, 
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-         2.67800e-01
-      ], 
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-         2.55500e-03, 
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-      ], 
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-      ], 
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-         2.36500e-08, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
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-         1.31100e+02, 
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-        -9.62300e+01, 
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-      ], 
-      [
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-        -7.21100e+00, 
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-      ], 
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-      ], 
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-         4.72500e-06, 
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-         4.98200e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Ethylene Glycol", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "MEG", 
-  "reference": "Melinder Book", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.73700e+00, 
-        -1.79900e+00, 
-        -9.93300e-01, 
-         2.61000e+00, 
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-      ], 
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-         0.00000e+00, 
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-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
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-      ], 
-      [
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-         0.00000e+00
-      ], 
-      [
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-         1.05100e-04, 
-         4.06300e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -7.66900e-07, 
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-        -6.47500e-06, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  3.08462e-01, 
-  "xid": 0, 
-  "xmax":  6.00000e-01, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MEG2.json b/dev/incompressible_liquids/MEG2.json
deleted file mode 100644
index f07f35bd..00000000
--- a/dev/incompressible_liquids/MEG2.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.60004e+02
-      ], 
-      [
-        -7.35447e+01
-      ], 
-      [
-        -1.19337e+02
-      ], 
-      [
-        -8.15890e+01
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.71150e+02, 
-  "Tmax":  3.13150e+02, 
-  "Tmin":  2.29150e+02, 
-  "TminPsat":  3.13150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.51971e-01, 
-        -3.79474e-01, 
-         5.34939e-02, 
-         4.36510e-01, 
-         3.78463e-01, 
-        -1.82000e+00
-      ], 
-      [
-         1.00880e-03, 
-        -2.35315e-03, 
-         2.68204e-03, 
-         1.12449e-03, 
-        -1.11200e-02, 
-         0.00000e+00
-      ], 
-      [
-         1.91712e-07, 
-        -4.49816e-07, 
-         2.73155e-05, 
-        -1.12600e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -4.20883e-08, 
-         3.39327e-07, 
-        -6.77200e-07, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.04289e+03, 
-         1.59475e+02, 
-         8.95042e+00, 
-        -4.03861e+01, 
-        -2.45825e+02, 
-        -1.12800e+03
-      ], 
-      [
-        -2.28102e-01, 
-        -1.25288e+00, 
-         5.36841e-01, 
-         5.03355e+00, 
-        -3.84800e+00, 
-         0.00000e+00
-      ], 
-      [
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-         8.26531e-03, 
-         5.48827e-04, 
-        -5.52300e-02, 
-         0.00000e+00, 
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-      ], 
-      [
-         1.24878e-05, 
-         8.41482e-06, 
-        -9.80899e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Melinder, Ethylene Glycol", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "MEG2", 
-  "reference": "Melinder-BOOK-2010, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.71696e+03, 
-        -2.33031e+03, 
-        -1.77942e+03, 
-         5.43190e+03, 
-         8.76344e+03, 
-        -3.38000e+04
-      ], 
-      [
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-         1.30976e+01, 
-        -2.19718e+01, 
-         4.82863e+01, 
-         5.19000e+01, 
-         0.00000e+00
-      ], 
-      [
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-        -8.21343e-02, 
-         4.80328e-01, 
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-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -9.20519e-05, 
-         1.17730e-03, 
-        -3.25000e-03, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         6.08908e+00, 
-         2.96996e+00, 
-        -5.99932e-01, 
-         4.72582e+00, 
-         1.29255e+01, 
-        -3.65500e+01
-      ], 
-      [
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-        -2.03127e-02, 
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-        -4.30466e-02, 
-        -4.29400e-01, 
-         0.00000e+00
-      ], 
-      [
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-         2.76171e-04, 
-         1.29792e-04, 
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-         0.00000e+00
-      ], 
-      [
-        -3.98730e-07, 
-        -2.87405e-06, 
-        -1.08200e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  2.80000e-01, 
-  "xid": 0, 
-  "xmax":  5.60000e-01, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MGL.json b/dev/incompressible_liquids/MGL.json
deleted file mode 100644
index 89c9959b..00000000
--- a/dev/incompressible_liquids/MGL.json
+++ /dev/null
@@ -1,214 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-        -1.30000e+01, 
-        -5.74200e+01, 
-        -9.11900e+01, 
-        -1.64100e+02, 
-        -2.40800e+02, 
-        -7.73400e+01
-      ], 
-      [
-        -8.63800e-04, 
-        -7.99100e-04, 
-         2.97300e-02, 
-        -5.31300e-03, 
-        -1.68200e-01, 
-         0.00000e+00
-      ], 
-      [
-         6.89500e-06, 
-        -7.51500e-05, 
-         2.37900e-05, 
-         4.54600e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         5.22900e-07, 
-         1.71000e-06, 
-        -1.23700e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.82061e+02, 
-  "Tmax":  3.13150e+02, 
-  "Tmin":  1.73150e+02, 
-  "TminPsat":  3.13150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.53200e-01, 
-        -3.22300e-01, 
-         5.53900e-02, 
-        -2.07300e-01, 
-         3.00000e-01, 
-         2.22100e+00
-      ], 
-      [
-         9.78200e-04, 
-        -1.95100e-03, 
-        -6.87800e-04, 
-        -2.23500e-04, 
-         1.60400e-02, 
-         0.00000e+00
-      ], 
-      [
-        -1.19600e-07, 
-         1.17800e-05, 
-        -2.58700e-05, 
-        -1.42100e-05, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -8.77800e-09, 
-         1.04800e-08, 
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-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.09300e+03, 
-         2.74000e+02, 
-         4.08100e+01, 
-        -4.74400e+01, 
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-      ], 
-      [
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-         1.80800e-01, 
-         1.83300e+00, 
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-      ], 
-      [
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-         9.59600e-03, 
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-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         1.54700e-05, 
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-         1.44100e-04, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Glycerol", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "MGL", 
-  "reference": "Melinder Book", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.48600e+03, 
-        -2.25000e+03, 
-        -3.25800e+02, 
-         2.92200e+03, 
-         2.23800e+03, 
-        -5.94400e+03
-      ], 
-      [
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-         1.81100e+01, 
-         7.24900e+00, 
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-        -5.38300e+01, 
-         0.00000e+00
-      ], 
-      [
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-         3.76600e-02, 
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-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
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-         1.52000e+00, 
-         4.45000e+00, 
-         3.63300e+00, 
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-         0.00000e+00
-      ], 
-      [
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-         8.87600e-05, 
-         6.21900e-04, 
-         3.01900e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
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-        -2.20900e-06, 
-         6.33100e-06, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  3.61905e-01, 
-  "xid": 0, 
-  "xmax":  6.00000e-01, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MGL2.json b/dev/incompressible_liquids/MGL2.json
deleted file mode 100644
index 3fc48261..00000000
--- a/dev/incompressible_liquids/MGL2.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.57099e+02
-      ], 
-      [
-        -6.90519e+01
-      ], 
-      [
-        -1.35664e+02
-      ], 
-      [
-        -2.59258e+02
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.73150e+02, 
-  "Tmax":  3.13150e+02, 
-  "Tmin":  2.33150e+02, 
-  "TminPsat":  3.13150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.29151e-01, 
-        -3.08279e-01, 
-         1.53124e-01, 
-         1.99413e-03, 
-        -1.98886e+00, 
-         6.01900e-01
-      ], 
-      [
-         8.50149e-04, 
-        -2.15238e-03, 
-         1.94758e-03, 
-         6.00225e-03, 
-        -3.08100e-02, 
-         0.00000e+00
-      ], 
-      [
-         4.89167e-07, 
-         1.83680e-06, 
-         2.12190e-05, 
-        -4.28200e-05, 
-         0.00000e+00, 
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-      ], 
-      [
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-         1.54511e-07, 
-        -1.72900e-07, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.11088e+03, 
-         2.96376e+02, 
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-        -8.41388e+02, 
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-      ], 
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-         0.00000e+00
-      ], 
-      [
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-         1.83369e-02, 
-         4.84942e-05, 
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-      ], 
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-        -6.66162e-05, 
-         4.61300e-04, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Melinder, Glycerol", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "MGL2", 
-  "reference": "Melinder-BOOK-2010, SecCool software", 
-  "saturation_pressure": {
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-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
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-        -2.42988e+03, 
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-      [
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-         2.51526e-01, 
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-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
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-  "viscosity": {
-    "coeffs": [
-      [
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-         5.61070e+00, 
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-      [
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-         5.31410e-04, 
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-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  4.12500e-01, 
-  "xid": 0, 
-  "xmax":  6.30000e-01, 
-  "xmin":  1.95000e-01
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MKA.json b/dev/incompressible_liquids/MKA.json
deleted file mode 100644
index 3876bc44..00000000
--- a/dev/incompressible_liquids/MKA.json
+++ /dev/null
@@ -1,214 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
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-        -1.70400e+01, 
-        -1.22800e+02, 
-        -3.86200e+02, 
-        -4.57100e+02, 
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-      ], 
-      [
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-         2.30200e-05, 
-         1.56500e-02, 
-        -3.73400e-02, 
-        -2.81700e-01, 
-         0.00000e+00
-      ], 
-      [
-         6.89200e-06, 
-        -8.71100e-05, 
-         7.56500e-05, 
-         1.26800e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
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-         2.01600e-06, 
-        -3.06300e-06, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.79926e+02, 
-  "Tmax":  3.13150e+02, 
-  "Tmin":  1.73150e+02, 
-  "TminPsat":  3.13150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.95800e-01, 
-        -2.93100e-01, 
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-      [
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-      ], 
-      [
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-      ], 
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-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
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-         5.79600e+02, 
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-      ], 
-      [
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-        -7.90000e-01, 
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-         2.32200e+00, 
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-         0.00000e+00, 
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-      [
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-         2.43300e-04, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Potassium Acetate (CH3CO2K)", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "MKA", 
-  "reference": "Melinder Book", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
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-        -2.89500e+03, 
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-        -1.24900e+03, 
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-      ], 
-      [
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-      ], 
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-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
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-         1.04200e+00, 
-         3.40500e+00, 
-         5.01700e+00, 
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-      ], 
-      [
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-         4.60100e-01, 
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-      ], 
-      [
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-         9.12500e-04, 
-         1.59600e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -2.19000e-06, 
-        -2.37900e-06, 
-        -1.88800e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  2.56757e-01, 
-  "xid": 0, 
-  "xmax":  4.50000e-01, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MKA2.json b/dev/incompressible_liquids/MKA2.json
deleted file mode 100644
index 775dc105..00000000
--- a/dev/incompressible_liquids/MKA2.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.55608e+02
-      ], 
-      [
-        -1.23957e+02
-      ], 
-      [
-        -3.35148e+02
-      ], 
-      [
-        -3.98881e+02
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.66150e+02, 
-  "Tmax":  3.03150e+02, 
-  "Tmin":  2.29150e+02, 
-  "TminPsat":  3.03150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.76293e-01, 
-        -2.68142e-01, 
-         3.30969e-01, 
-        -1.37812e+00, 
-        -9.92017e+00, 
-         5.13600e+01
-      ], 
-      [
-         1.33628e-03, 
-        -1.66873e-03, 
-        -1.67583e-03, 
-        -9.46965e-03, 
-         9.43300e-02, 
-         0.00000e+00
-      ], 
-      [
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-         8.76865e-06, 
-         1.05109e-05, 
-        -7.68401e-05, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         2.43480e-08, 
-         9.71959e-10, 
-        -1.34900e-06, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.14447e+03, 
-         5.77812e+02, 
-         1.79010e+02, 
-         2.37909e+02, 
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-      ], 
-      [
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-         8.78500e+01, 
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-      ], 
-      [
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-         1.44297e-01, 
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-      ], 
-      [
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-         1.87445e-04, 
-        -2.60800e-03, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Melinder, Potassium Acetate", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "MKA2", 
-  "reference": "Melinder-BOOK-2010, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.28714e+03, 
-        -2.98183e+03, 
-         5.22892e+02, 
-         5.19755e+03, 
-         1.80884e+04, 
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-      ], 
-      [
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-         3.70287e+00, 
-         4.12461e+01, 
-         7.28534e+01, 
-        -1.97300e+03, 
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-      ], 
-      [
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-        -1.04625e-01, 
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-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
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-         6.63449e-04, 
-         3.56000e-03, 
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-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         6.14800e+00, 
-         3.80327e+00, 
-         4.15661e+00, 
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-      ], 
-      [
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-        -2.68400e-01, 
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-      ], 
-      [
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-      ], 
-      [
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-        -1.45900e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  2.60000e-01, 
-  "xid": 0, 
-  "xmax":  4.10000e-01, 
-  "xmin":  1.10000e-01
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MKC.json b/dev/incompressible_liquids/MKC.json
deleted file mode 100644
index 2f818e65..00000000
--- a/dev/incompressible_liquids/MKC.json
+++ /dev/null
@@ -1,214 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-        -1.03000e+01, 
-        -7.78600e+01, 
-        -2.76600e+02, 
-        -8.22600e+02, 
-        -2.37200e+02, 
-         3.25100e+03
-      ], 
-      [
-        -1.57500e-04, 
-         1.11200e-03, 
-         1.61600e-02, 
-        -4.91300e-02, 
-        -2.88600e-01, 
-         0.00000e+00
-      ], 
-      [
-         3.59800e-06, 
-        -3.47900e-05, 
-        -1.68100e-04, 
-         1.39500e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         4.32400e-09, 
-        -1.24400e-07, 
-         3.84700e-07, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.84392e+02, 
-  "Tmax":  3.13150e+02, 
-  "Tmin":  1.73150e+02, 
-  "TminPsat":  3.13150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         5.62200e-01, 
-        -8.92000e-02, 
-        -5.23300e-03, 
-        -9.28300e-01, 
-        -1.01100e+00, 
-         1.31100e+01
-      ], 
-      [
-         1.65600e-03, 
-         2.03100e-04, 
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-        -1.81400e-02, 
-         8.47100e-02, 
-         0.00000e+00
-      ], 
-      [
-         2.10800e-06, 
-        -2.61600e-05, 
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-         8.76700e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
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-         7.96500e-08, 
-         1.02700e-06, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.21600e+03, 
-         1.06400e+03, 
-         4.41300e+02, 
-        -1.33300e+02, 
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-         2.03500e+03
-      ], 
-      [
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-        -7.61400e-01, 
-         7.80600e-01, 
-        -2.38100e+00, 
-         2.70800e+01, 
-         0.00000e+00
-      ], 
-      [
-        -3.38300e-03, 
-         5.21400e-03, 
-        -1.17300e-02, 
-         1.69600e-01, 
-         0.00000e+00, 
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-      ], 
-      [
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-        -8.08700e-05, 
-         5.65800e-04, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Potassium Carbonate (K2CO3)", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "MKC", 
-  "reference": "Melinder Book", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
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-        -3.73300e+03, 
-         2.02300e+03, 
-         1.97100e+04, 
-         3.40500e+04, 
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-      ], 
-      [
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-        -1.77500e+00, 
-         4.55300e+01, 
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-        -1.67600e+03, 
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-      ], 
-      [
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-         0.00000e+00, 
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-      ], 
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-         0.00000e+00, 
-         0.00000e+00
-      ]
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-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         8.06300e-01, 
-         3.62400e+00, 
-         6.65900e+00, 
-         1.07700e+01, 
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-      ], 
-      [
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-        -1.26200e-03, 
-        -1.61100e-01, 
-        -9.79600e-02, 
-         7.82500e-01, 
-         0.00000e+00
-      ], 
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-        -3.02200e-05, 
-         1.53000e-03, 
-         3.07000e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -2.37200e-06, 
-        -7.76100e-07, 
-         1.06100e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  2.20833e-01, 
-  "xid": 0, 
-  "xmax":  4.00000e-01, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MKC2.json b/dev/incompressible_liquids/MKC2.json
deleted file mode 100644
index 8a7301c8..00000000
--- a/dev/incompressible_liquids/MKC2.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.64853e+02
-      ], 
-      [
-        -7.16876e+01
-      ], 
-      [
-        -2.34850e+02
-      ], 
-      [
-        -4.91415e+02
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.70650e+02, 
-  "Tmax":  3.03150e+02, 
-  "Tmin":  2.38150e+02, 
-  "TminPsat":  3.03150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         5.42723e-01, 
-        -9.53472e-02, 
-         4.30758e-02, 
-        -8.74763e-01, 
-        -4.00619e+00, 
-         2.24500e+01
-      ], 
-      [
-         1.59784e-03, 
-         5.39620e-04, 
-        -2.00628e-04, 
-        -3.12927e-02, 
-         9.35200e-02, 
-         0.00000e+00
-      ], 
-      [
-         2.33988e-06, 
-        -2.90760e-05, 
-        -6.46641e-05, 
-         8.92300e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         6.62831e-09, 
-         1.21694e-07, 
-        -1.29800e-06, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.19242e+03, 
-         1.08574e+03, 
-         4.11860e+02, 
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-        -1.65200e+02, 
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-      ], 
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-      ], 
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-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Melinder, Potassium Carbonate", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "MKC2", 
-  "reference": "Melinder-BOOK-2010, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
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-        -3.94949e+03, 
-         1.65997e+03, 
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-      ], 
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-         2.10991e+00, 
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-         3.92351e+02, 
-        -9.20900e+02, 
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-      ], 
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-        -2.30999e-01, 
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-        -6.24100e+00, 
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-      ], 
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-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
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-         3.34648e+00, 
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-        -2.00553e-01, 
-         1.93300e+00, 
-         0.00000e+00
-      ], 
-      [
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-         9.40265e-06, 
-         2.59120e-03, 
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-         0.00000e+00
-      ], 
-      [
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-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  1.95000e-01, 
-  "xid": 0, 
-  "xmax":  3.90000e-01, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MKF.json b/dev/incompressible_liquids/MKF.json
deleted file mode 100644
index 55faccbc..00000000
--- a/dev/incompressible_liquids/MKF.json
+++ /dev/null
@@ -1,214 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-        -2.01900e+01, 
-        -1.10600e+02, 
-        -2.10000e+02, 
-        -2.63800e+02, 
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-         6.34500e+02
-      ], 
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-        -4.20300e-04, 
-        -3.80200e-03, 
-         4.02700e-02, 
-         9.50700e-02, 
-         0.00000e+00
-      ], 
-      [
-        -7.47800e-06, 
-        -5.73700e-05, 
-         6.50400e-04, 
-        -4.78900e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         3.76100e-07, 
-         1.47400e-06, 
-        -1.87700e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.79041e+02, 
-  "Tmax":  3.13150e+02, 
-  "Tmin":  1.73150e+02, 
-  "TminPsat":  3.13150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         5.25300e-01, 
-        -1.97200e-01, 
-        -2.59600e-01, 
-        -5.06200e-01, 
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-         5.56200e+00
-      ], 
-      [
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-        -6.32200e-04, 
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-      ], 
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-      ], 
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-        -7.32400e-08, 
-         2.89900e-07, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
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-      [
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-         7.04400e+02, 
-         1.88900e+02, 
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-         1.06100e+04
-      ], 
-      [
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-        -6.56000e-01, 
-         1.03400e+00, 
-         3.69200e-01, 
-         8.76600e+00, 
-         0.00000e+00
-      ], 
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-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
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-        -1.45900e-04, 
-         9.22500e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Potassium Formate (CHKO2)", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "MKF", 
-  "reference": "Melinder Book", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.14400e+03, 
-        -2.99400e+03, 
-         2.94400e+03, 
-         1.16100e+03, 
-        -1.42900e+04, 
-        -3.22100e+04
-      ], 
-      [
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-      ], 
-      [
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-      ], 
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-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
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-      [
-         8.08800e-01, 
-         1.75800e+00, 
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-        -1.18400e+00, 
-         1.08800e+02, 
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-      ], 
-      [
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-        -1.60100e-02, 
-        -1.33100e-01, 
-        -7.00300e-01, 
-         0.00000e+00
-      ], 
-      [
-         2.19500e-04, 
-         2.49800e-04, 
-         4.81500e-05, 
-        -5.48900e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -1.66700e-06, 
-        -3.56900e-06, 
-        -1.86100e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  2.91447e-01, 
-  "xid": 0, 
-  "xmax":  4.80000e-01, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MLI.json b/dev/incompressible_liquids/MLI.json
deleted file mode 100644
index 3caa5233..00000000
--- a/dev/incompressible_liquids/MLI.json
+++ /dev/null
@@ -1,214 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-        -2.32900e+01, 
-        -3.05100e+02, 
-        -1.79000e+03, 
-        -2.91700e+03, 
-         5.71500e+04, 
-         2.75700e+05
-      ], 
-      [
-         6.55500e-04, 
-        -3.97200e-02, 
-         1.39100e-01, 
-         1.49000e+00, 
-         1.18600e+01, 
-         0.00000e+00
-      ], 
-      [
-        -1.20800e-04, 
-         3.67400e-03, 
-        -1.99700e-02, 
-        -6.90400e-02, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         2.61600e-06, 
-        -5.56900e-05, 
-         2.93100e-04, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.74639e+02, 
-  "Tmax":  3.13150e+02, 
-  "Tmin":  1.73150e+02, 
-  "TminPsat":  3.13150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         5.36200e-01, 
-        -1.85500e-01, 
-         1.01700e-01, 
-         7.08400e-01, 
-        -1.27300e+01, 
-        -9.12400e+01
-      ], 
-      [
-         1.45400e-03, 
-        -1.40500e-03, 
-         6.82100e-03, 
-        -7.43400e-02, 
-        -3.05800e-01, 
-         0.00000e+00
-      ], 
-      [
-        -3.26000e-08, 
-        -5.42400e-07, 
-        -8.67400e-05, 
-         6.98800e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -1.42000e-08, 
-         9.82100e-08, 
-         1.09500e-06, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.08800e+03, 
-         6.05600e+02, 
-         2.55600e+02, 
-         9.40700e+02, 
-        -8.10500e+03, 
-        -3.97400e+04
-      ], 
-      [
-        -1.77200e-01, 
-        -8.58800e-01, 
-         7.19400e-01, 
-        -7.25300e+00, 
-         1.07200e+02, 
-         0.00000e+00
-      ], 
-      [
-        -2.61900e-03, 
-         1.56700e-02, 
-        -1.05300e-01, 
-         3.14400e-01, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         6.20900e-06, 
-        -1.84700e-04, 
-         9.71600e-04, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Lithium Chloride (LiCl)", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "MLI", 
-  "reference": "Melinder Book", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.38300e+03, 
-        -5.03600e+03, 
-         6.29800e+03, 
-         4.54400e+04, 
-         2.52700e+05, 
-         4.05800e+05
-      ], 
-      [
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-         4.41500e+01, 
-        -4.38400e+01, 
-        -8.78700e+02, 
-        -3.58000e+03, 
-         0.00000e+00
-      ], 
-      [
-        -3.03500e-04, 
-        -2.60900e-02, 
-         1.03900e+00, 
-        -8.45700e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -3.47700e-06, 
-         3.65100e-04, 
-        -1.07600e-02, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         1.01300e+00, 
-         3.92000e+00, 
-         3.32000e+00, 
-         2.20600e+00, 
-         1.74500e+02, 
-         6.69900e+02
-      ], 
-      [
-        -3.06200e-02, 
-         6.24600e-03, 
-         7.84000e-03, 
-        -6.01100e-01, 
-        -7.09400e+00, 
-         0.00000e+00
-      ], 
-      [
-         2.94000e-04, 
-        -1.75200e-04, 
-        -3.10000e-03, 
-         4.02300e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -2.71900e-06, 
-         8.34600e-06, 
-         1.38100e-04, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  1.48000e-01, 
-  "xid": 0, 
-  "xmax":  2.40000e-01, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MMA.json b/dev/incompressible_liquids/MMA.json
deleted file mode 100644
index bc118afb..00000000
--- a/dev/incompressible_liquids/MMA.json
+++ /dev/null
@@ -1,214 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-        -2.62900e+01, 
-        -1.18700e+02, 
-        -1.21800e+02, 
-        -6.82300e+01, 
-         1.29700e+01, 
-         2.36300e+02
-      ], 
-      [
-        -2.57500e-06, 
-        -1.60900e-03, 
-         3.86500e-03, 
-         2.13700e-02, 
-        -5.40700e-02, 
-         0.00000e+00
-      ], 
-      [
-        -6.73200e-06, 
-         3.42000e-05, 
-         8.76800e-05, 
-        -4.27100e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         1.63000e-07, 
-         5.68700e-08, 
-        -2.09500e-06, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.76686e+02, 
-  "Tmax":  3.13150e+02, 
-  "Tmin":  1.73150e+02, 
-  "TminPsat":  3.13150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.17500e-01, 
-        -4.42100e-01, 
-         2.04400e-01, 
-         2.94300e-01, 
-        -8.66600e-02, 
-        -2.03300e+00
-      ], 
-      [
-         7.27100e-04, 
-        -2.95200e-03, 
-         3.41300e-03, 
-        -9.64600e-04, 
-        -4.57300e-05, 
-         0.00000e+00
-      ], 
-      [
-         2.82300e-07, 
-         7.33600e-06, 
-        -3.66500e-05, 
-         3.17400e-05, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         9.71800e-09, 
-         4.32800e-08, 
-        -2.79100e-07, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         9.58100e+02, 
-        -1.39100e+02, 
-        -1.10500e+02, 
-        -1.20800e+02, 
-         4.92700e+02, 
-        -7.72700e+02
-      ], 
-      [
-        -4.15100e-01, 
-        -1.51000e+00, 
-         1.82800e+00, 
-         2.99200e+00, 
-        -1.32500e+01, 
-         0.00000e+00
-      ], 
-      [
-        -2.26100e-03, 
-         1.11300e-02, 
-        -1.64100e-02, 
-         1.45500e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         2.99800e-07, 
-        -3.26400e-05, 
-         1.51000e-04, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Methyl Alcohol (Methanol)", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "MMA", 
-  "reference": "Melinder Book", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.88700e+03, 
-        -1.85000e+03, 
-        -3.76900e+02, 
-        -3.77600e+03, 
-        -1.50400e+04, 
-         6.43300e+04
-      ], 
-      [
-         7.20100e+00, 
-         2.98400e+01, 
-        -1.19600e+02, 
-        -5.61100e+01, 
-         7.37300e+02, 
-         0.00000e+00
-      ], 
-      [
-        -8.97900e-02, 
-        -1.86500e-01, 
-         9.80100e-01, 
-        -7.81100e-01, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -4.39000e-04, 
-        -1.71800e-03, 
-         6.66000e-03, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         1.15300e+00, 
-         5.44800e-01, 
-        -5.55200e+00, 
-         3.03800e+00, 
-         6.66900e+00, 
-        -8.47200e+00
-      ], 
-      [
-        -3.86600e-02, 
-         1.00800e-02, 
-         8.38400e-02, 
-        -7.43500e-02, 
-        -9.10500e-02, 
-         0.00000e+00
-      ], 
-      [
-         2.77900e-04, 
-        -2.80900e-04, 
-        -3.99700e-04, 
-         7.44200e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -1.54300e-06, 
-         9.81100e-07, 
-        -3.46600e-06, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  3.05128e-01, 
-  "xid": 0, 
-  "xmax":  6.00000e-01, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MMA2.json b/dev/incompressible_liquids/MMA2.json
deleted file mode 100644
index 3c6df381..00000000
--- a/dev/incompressible_liquids/MMA2.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.50348e+02
-      ], 
-      [
-        -1.10030e+02
-      ], 
-      [
-        -1.20326e+02
-      ], 
-      [
-        -9.34346e+01
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.58150e+02, 
-  "Tmax":  2.93150e+02, 
-  "Tmin":  2.23150e+02, 
-  "TminPsat":  2.93150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.15951e-01, 
-        -3.74047e-01, 
-         6.93486e-02, 
-        -1.13126e-01, 
-        -3.98136e-01, 
-         4.46000e+00
-      ], 
-      [
-         8.00944e-04, 
-        -3.76307e-03, 
-         1.29005e-02, 
-        -1.72521e-02, 
-        -5.56200e-02, 
-         0.00000e+00
-      ], 
-      [
-        -1.43347e-06, 
-         9.44302e-06, 
-        -4.50061e-05, 
-         2.27800e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         4.24326e-08, 
-         2.24451e-07, 
-        -2.73400e-06, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         9.68306e+02, 
-        -9.77620e+01, 
-        -1.40996e+02, 
-        -3.97355e+02, 
-         9.36886e+02, 
-         9.18200e+02
-      ], 
-      [
-        -2.67646e-01, 
-        -2.03202e+00, 
-         1.49641e+00, 
-         2.53733e+00, 
-         1.19900e+00, 
-         0.00000e+00
-      ], 
-      [
-        -3.46848e-03, 
-         1.68537e-02, 
-        -2.46640e-02, 
-         7.79500e-02, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         1.59301e-05, 
-        -1.67540e-04, 
-         4.14200e-04, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Melinder, Methanol", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "MMA2", 
-  "reference": "Melinder-BOOK-2010, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.89871e+03, 
-        -2.56367e+03, 
-         6.45684e+02, 
-         1.88953e+03, 
-        -1.06985e+04, 
-        -4.75800e+04
-      ], 
-      [
-         1.55142e+00, 
-         2.27570e+01, 
-        -6.80728e+01, 
-         4.77380e+02, 
-        -9.81200e+02, 
-         0.00000e+00
-      ], 
-      [
-         5.28845e-03, 
-        -2.59153e-01, 
-         2.23093e+00, 
-        -5.30600e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -8.04433e-05, 
-         3.84936e-03, 
-        -1.89400e-02, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         6.53302e+00, 
-         3.97593e-01, 
-        -5.12330e+00, 
-         1.14378e+01, 
-        -3.49869e+01, 
-        -2.37200e+01
-      ], 
-      [
-        -4.78352e-02, 
-         1.74807e-02, 
-        -5.33637e-03, 
-        -2.43070e-01, 
-         1.91500e+00, 
-         0.00000e+00
-      ], 
-      [
-         2.99268e-04, 
-         3.55676e-04, 
-        -1.51879e-03, 
-        -9.53000e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -1.22346e-06, 
-        -1.37903e-05, 
-         4.48200e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  2.76000e-01, 
-  "xid": 0, 
-  "xmax":  4.74000e-01, 
-  "xmin":  7.80000e-02
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MMG.json b/dev/incompressible_liquids/MMG.json
deleted file mode 100644
index a483a064..00000000
--- a/dev/incompressible_liquids/MMG.json
+++ /dev/null
@@ -1,214 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-        -1.51200e+01, 
-        -1.88500e+02, 
-        -5.45500e+02, 
-        -7.25700e+02, 
-        -3.20800e+04, 
-        -1.79400e+05
-      ], 
-      [
-        -4.84300e-04, 
-        -5.46100e-03, 
-         1.88700e-01, 
-         7.58800e-01, 
-        -4.92000e+00, 
-         0.00000e+00
-      ], 
-      [
-         1.11300e-05, 
-         3.57900e-04, 
-        -3.17100e-03, 
-        -4.10200e-02, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         1.85800e-07, 
-        -3.99900e-06, 
-        -6.24600e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.82466e+02, 
-  "Tmax":  3.13150e+02, 
-  "Tmin":  1.73150e+02, 
-  "TminPsat":  3.13150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         5.46100e-01, 
-        -2.73000e-01, 
-         8.67500e-02, 
-         8.65100e-01, 
-        -4.77900e+01, 
-        -2.50300e+02
-      ], 
-      [
-         1.78400e-03, 
-        -1.48300e-03, 
-        -1.48900e-02, 
-         1.99200e-01, 
-         1.79700e+00, 
-         0.00000e+00
-      ], 
-      [
-        -8.17100e-07, 
-         3.85000e-05, 
-        -3.88200e-04, 
-        -1.19600e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -6.59400e-08, 
-        -5.55600e-07, 
-         9.28200e-06, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.12400e+03, 
-         9.07100e+02, 
-         2.44900e+02, 
-         3.40200e+03, 
-         3.34400e+04, 
-         7.23900e+04
-      ], 
-      [
-        -3.07200e-01, 
-        -6.51300e-01, 
-         3.57400e-01, 
-        -1.40900e+02, 
-        -6.83000e+02, 
-         0.00000e+00
-      ], 
-      [
-        -3.29500e-03, 
-         4.66400e-03, 
-         4.33700e-02, 
-         1.85700e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         1.01500e-05, 
-         2.28700e-04, 
-         6.04400e-03, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "(MgCl2)", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "MMG", 
-  "reference": "Melinder Book", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.36500e+03, 
-        -5.22200e+03, 
-         6.20200e+03, 
-         1.05200e+04, 
-        -1.06700e+05, 
-        -6.96000e+05
-      ], 
-      [
-         2.22900e+00, 
-         1.16200e+01, 
-         2.33700e+01, 
-        -4.59000e+02, 
-        -1.04800e+04, 
-         0.00000e+00
-      ], 
-      [
-        -4.62700e-03, 
-         1.24900e-01, 
-         7.24000e-01, 
-        -2.47700e+01, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         9.18600e-05, 
-         2.42100e-04, 
-        -3.61300e-02, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         9.57300e-01, 
-         4.96800e+00, 
-        -2.72200e+01, 
-         9.35100e+01, 
-         7.36400e+03, 
-         3.71700e+04
-      ], 
-      [
-        -3.06500e-02, 
-         1.55900e-02, 
-        -1.75300e-01, 
-        -8.35300e+00, 
-        -4.01400e+01, 
-         0.00000e+00
-      ], 
-      [
-         1.11500e-04, 
-        -1.79600e-03, 
-         2.02100e-02, 
-         1.90100e-01, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -2.92300e-06, 
-         3.05100e-05, 
-         2.61400e-04, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  1.41327e-01, 
-  "xid": 0, 
-  "xmax":  3.00000e-01, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MMG2.json b/dev/incompressible_liquids/MMG2.json
deleted file mode 100644
index 8ac51a20..00000000
--- a/dev/incompressible_liquids/MMG2.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.64420e+02
-      ], 
-      [
-        -1.41202e+02
-      ], 
-      [
-        -6.00030e+02
-      ], 
-      [
-        -5.09115e+02
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.73150e+02, 
-  "Tmax":  3.03150e+02, 
-  "Tmin":  2.43150e+02, 
-  "TminPsat":  3.03150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         5.39306e-01, 
-        -2.39962e-01, 
-         1.59128e-01, 
-        -5.66420e+00, 
-        -3.54344e+01, 
-         5.16800e+02
-      ], 
-      [
-         1.74229e-03, 
-        -2.43214e-04, 
-         4.98124e-03, 
-        -5.98071e-02, 
-         4.49429e-03, 
-         0.00000e+00
-      ], 
-      [
-         3.06342e-07, 
-         2.94195e-05, 
-        -2.58618e-04, 
-        -5.89199e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -2.55098e-14, 
-         1.71522e-13, 
-         1.25528e-12, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.08926e+03, 
-         9.04714e+02, 
-         7.57958e+02, 
-        -4.92183e+03, 
-        -4.37056e+04, 
-         4.37400e+05
-      ], 
-      [
-        -1.38972e-01, 
-        -6.55649e-01, 
-        -9.18862e+00, 
-        -6.71572e+01, 
-         1.11900e+03, 
-         0.00000e+00
-      ], 
-      [
-        -3.80578e-03, 
-         1.41528e-02, 
-         3.35216e-02, 
-         6.48099e-01, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -5.55556e-12, 
-        -1.94655e-10, 
-         7.53285e-10, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Melinder, Magnesium Chloride", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "MMG2", 
-  "reference": "Melinder-BOOK-2010, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
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-        -5.79774e+03, 
-         1.33335e+04, 
-        -6.24990e+04, 
-        -6.51818e+05, 
-         6.00000e+06
-      ], 
-      [
-         1.81549e+00, 
-         2.33757e+01, 
-        -2.68977e+02, 
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-         8.80300e+03, 
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-      [
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-         1.94452e-09, 
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-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         5.65743e+00, 
-         5.41495e+00, 
-         1.69748e+01, 
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-        -7.67416e+02, 
-         1.48400e+04
-      ], 
-      [
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-        -4.68872e-03, 
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-        -1.42100e+01, 
-         0.00000e+00
-      ], 
-      [
-         2.34189e-04, 
-        -3.27350e-04, 
-        -2.25078e-03, 
-         1.66500e-02, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         2.78289e-14, 
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-         3.89584e-14, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  1.02500e-01, 
-  "xid": 0, 
-  "xmax":  2.05000e-01, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MNA.json b/dev/incompressible_liquids/MNA.json
deleted file mode 100644
index e4d75af6..00000000
--- a/dev/incompressible_liquids/MNA.json
+++ /dev/null
@@ -1,214 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-        -9.38300e+00, 
-        -9.03900e+01, 
-        -2.20400e+02, 
-        -4.82700e+02, 
-         2.24700e+02, 
-         0.00000e+00
-      ], 
-      [
-        -2.58100e-05, 
-         2.57800e-04, 
-         1.19200e-03, 
-        -1.46700e-02, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         1.42300e-06, 
-        -3.31800e-06, 
-        -8.99300e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.85768e+02, 
-  "Tmax":  3.13150e+02, 
-  "Tmin":  1.73150e+02, 
-  "TminPsat":  3.13150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         5.73600e-01, 
-        -9.38300e-02, 
-        -1.05700e-01, 
-        -4.85300e-01, 
-        -4.65400e-01, 
-         0.00000e+00
-      ], 
-      [
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-        -1.24800e-03, 
-         4.15800e-03, 
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-         0.00000e+00, 
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-      ], 
-      [
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-      ], 
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-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
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-      ], 
-      [
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-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Sodium Chloride (NaCl)", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "MNA", 
-  "reference": "Melinder Book", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.59300e+03, 
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-    "type": "polynomial"
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-  "viscosity": {
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-    ], 
-    "type": "polynomial"
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-  "volume2input": {
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-    "type": "notdefined"
-  }, 
-  "xbase":  1.33897e-01, 
-  "xid": 0, 
-  "xmax":  2.30000e-01, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MNA2.json b/dev/incompressible_liquids/MNA2.json
deleted file mode 100644
index f9b928a1..00000000
--- a/dev/incompressible_liquids/MNA2.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
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-      [
-         2.65416e+02
-      ], 
-      [
-        -8.21145e+01
-      ], 
-      [
-        -1.96011e+02
-      ], 
-      [
-        -5.85100e+02
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.78150e+02, 
-  "Tmax":  3.03150e+02, 
-  "Tmin":  2.53150e+02, 
-  "TminPsat":  3.03150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
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-        -7.67724e-02, 
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-        -3.14700e-01, 
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-      ], 
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-         0.00000e+00
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-      [
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-      [
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-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
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-  "density": {
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-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Melinder, Sodium Chloride", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "MNA2", 
-  "reference": "Melinder-BOOK-2010, SecCool software", 
-  "saturation_pressure": {
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-    "type": "notdefined"
-  }, 
-  "specific_heat": {
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-        -3.56560e+03, 
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-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
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-  "viscosity": {
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-         2.19764e+00, 
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-         0.00000e+00
-      ], 
-      [
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-         4.41900e-04, 
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-      [
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-         2.03196e-12, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  1.15000e-01, 
-  "xid": 0, 
-  "xmax":  2.30000e-01, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MPG.json b/dev/incompressible_liquids/MPG.json
deleted file mode 100644
index 8d21e554..00000000
--- a/dev/incompressible_liquids/MPG.json
+++ /dev/null
@@ -1,214 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-        -1.32500e+01, 
-        -6.63100e+01, 
-        -1.09400e+02, 
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-         6.77400e-04, 
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-        -1.13100e-02, 
-         8.03500e-03, 
-         0.00000e+00
-      ], 
-      [
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-        -6.24200e-06, 
-        -4.16900e-05, 
-         1.91800e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -1.73300e-09, 
-        -7.81900e-08, 
-         3.28800e-07, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  3.05858e+02, 
-  "Tmax":  3.73150e+02, 
-  "Tmin":  1.73150e+02, 
-  "TminPsat":  3.73150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.51300e-01, 
-        -4.79500e-01, 
-         2.07600e-01, 
-        -9.08300e-02, 
-        -5.95200e-02, 
-         2.10400e-01
-      ], 
-      [
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-        -1.67800e-03, 
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-        -2.51800e-03, 
-        -3.60500e-03, 
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-      ], 
-      [
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-         8.94100e-06, 
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-      ], 
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-         0.00000e+00, 
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-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
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-      [
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-         7.60400e+01, 
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-        -1.55000e+02, 
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-        -2.22100e+00, 
-         0.00000e+00
-      ], 
-      [
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-        -7.17500e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
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-        -1.34300e-05, 
-         3.37600e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Propylene Glycol", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "MPG", 
-  "reference": "Melinder Book", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.88200e+03, 
-        -1.30400e+03, 
-        -1.59800e+03, 
-         3.53900e+02, 
-         5.00000e+03, 
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-      ], 
-      [
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-      ], 
-      [
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-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
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-         3.32800e+00, 
-         5.45300e-01, 
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-        -1.58700e+00, 
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-      ], 
-      [
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-        -3.98400e-02, 
-        -8.60000e-04, 
-         1.05400e-01, 
-         4.47500e-02, 
-         0.00000e+00
-      ], 
-      [
-         2.52500e-04, 
-         4.33200e-04, 
-        -1.59300e-04, 
-        -1.58900e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -1.39900e-06, 
-        -1.86000e-06, 
-        -4.46500e-07, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  3.07031e-01, 
-  "xid": 0, 
-  "xmax":  6.00000e-01, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/MPG2.json b/dev/incompressible_liquids/MPG2.json
deleted file mode 100644
index 00fc80b8..00000000
--- a/dev/incompressible_liquids/MPG2.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.55913e+02
-      ], 
-      [
-        -8.12816e+01
-      ], 
-      [
-        -1.81780e+02
-      ], 
-      [
-        -3.58493e+02
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.70650e+02, 
-  "Tmax":  3.13150e+02, 
-  "Tmin":  2.28150e+02, 
-  "TminPsat":  3.13150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.01795e-01, 
-        -3.94710e-01, 
-         2.67376e-01, 
-        -6.06205e-01, 
-        -3.92835e+00, 
-         1.29000e+01
-      ], 
-      [
-         6.83503e-04, 
-        -1.65635e-03, 
-         2.68975e-03, 
-        -1.02247e-02, 
-         1.43700e-02, 
-         0.00000e+00
-      ], 
-      [
-        -3.57966e-07, 
-         5.71068e-06, 
-        -7.13880e-05, 
-         3.00500e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         3.74430e-09, 
-        -2.30598e-07, 
-         1.27100e-06, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.03923e+03, 
-         1.02839e+02, 
-        -1.23598e+02, 
-         1.44415e+02, 
-         1.10078e+03, 
-        -6.03300e+03
-      ], 
-      [
-        -3.64327e-01, 
-        -1.36325e+00, 
-         2.19090e+00, 
-         2.14170e+00, 
-        -2.91500e+01, 
-         0.00000e+00
-      ], 
-      [
-        -3.51952e-03, 
-         1.43697e-02, 
-        -5.43132e-02, 
-        -3.02600e-02, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         3.06567e-06, 
-        -1.32044e-04, 
-         1.15300e-03, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Melinder, Propylene Glycol", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "MPG2", 
-  "reference": "Melinder-BOOK-2010, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.80066e+03, 
-        -1.87336e+03, 
-        -1.92932e+03, 
-         7.89520e+03, 
-         7.50543e+03, 
-        -1.06800e+05
-      ], 
-      [
-         4.62130e-01, 
-         1.33666e+01, 
-         1.92973e+00, 
-        -4.39682e+01, 
-        -9.05000e+00, 
-         0.00000e+00
-      ], 
-      [
-         2.27930e-02, 
-        -1.52044e-01, 
-         8.83699e-02, 
-         1.28600e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -4.75533e-05, 
-         9.18551e-04, 
-        -3.14800e-03, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         6.99366e+00, 
-         5.13749e+00, 
-        -1.33075e+00, 
-        -5.81956e+00, 
-         3.86891e+01, 
-         1.09200e+02
-      ], 
-      [
-        -5.85869e-02, 
-        -6.91817e-02, 
-         1.13335e-01, 
-         3.00953e-03, 
-        -1.43000e+00, 
-         0.00000e+00
-      ], 
-      [
-         6.38754e-04, 
-         5.41284e-04, 
-        -4.58807e-03, 
-        -1.21200e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -5.36956e-06, 
-         3.29449e-07, 
-         8.56200e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  3.60000e-01, 
-  "xid": 0, 
-  "xmax":  5.70000e-01, 
-  "xmin":  1.50000e-01
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/NBS.json b/dev/incompressible_liquids/NBS.json
deleted file mode 100644
index 66331452..00000000
--- a/dev/incompressible_liquids/NBS.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  3.23650e+02, 
-  "Tmax":  3.73150e+02, 
-  "Tmin":  2.74150e+02, 
-  "TminPsat":  3.73150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         6.41133e-01
-      ], 
-      [
-         1.09215e-03
-      ], 
-      [
-        -8.22065e-06
-      ], 
-      [
-         2.09789e-08
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         9.87906e+02
-      ], 
-      [
-        -4.61990e-01
-      ], 
-      [
-        -3.55471e-03
-      ], 
-      [
-         1.59238e-05
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "NBS, Water", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "NBS", 
-  "reference": "Properties of Water and Steam in SI-Units, 2nd Revised and Updated Printing, Springer 1979, pp. 175 ff., SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         4.17953e+03
-      ], 
-      [
-         3.63860e-01
-      ], 
-      [
-         1.25218e-02
-      ], 
-      [
-        -1.27857e-04
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -6.14188e-01
-      ], 
-      [
-        -1.65846e-02
-      ], 
-      [
-         1.01580e-04
-      ], 
-      [
-        -6.98528e-07
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  0.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/NaK.json b/dev/incompressible_liquids/NaK.json
deleted file mode 100644
index aa9cbe1c..00000000
--- a/dev/incompressible_liquids/NaK.json
+++ /dev/null
@@ -1,83 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  2.73150e+02, 
-  "Tmax":  8.73150e+02, 
-  "Tmin":  5.73150e+02, 
-  "TminPsat":  8.73150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.43000e-01
-      ], 
-      [
-         1.90000e-04
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         2.09000e+03
-      ], 
-      [
-        -6.36000e-01
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "NitrateSalt", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "NaK", 
-  "reference": "Solar Power Tower Design Basis Document,  Alexis B. Zavoico, Sandia Labs, USA", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         1.44300e+03
-      ], 
-      [
-         1.72000e-01
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         2.27140e-02
-      ], 
-      [
-        -1.20000e-04
-      ], 
-      [
-         2.28100e-07
-      ], 
-      [
-        -1.47400e-10
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 3, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/OLD_incompressible.py b/dev/incompressible_liquids/OLD_incompressible.py
deleted file mode 100644
index 07cea3a1..00000000
--- a/dev/incompressible_liquids/OLD_incompressible.py
+++ /dev/null
@@ -1,1123 +0,0 @@
-import numpy as np
-import itertools,scipy.interpolate
-
-
-class LiquidData(object):
-    """ 
-    A base class that defines all the variables needed 
-    in order to make a proper fit. You can copy this code
-    put in your data and some documentation for where the
-    information came from. 
-    """
-    Name     = None # Name of the current fluid
-    Desc     = None # Name of the current fluid
-    Tmin     = None # Minimum temperature in K
-    TminPsat = None # Minimum saturation temperature in K
-    Tmax     = None # Maximum temperature in K
-    T        = None # Temperature for data points in K
-    rho      = None # Density in kg/m3
-    c_p      = None # Heat capacity in J/(kg.K)
-    lam      = None # Thermal conductivity in W/(m.K)
-    mu_dyn   = None # Dynamic viscosity in Pa.s
-    psat     = None # Saturation pressure in Pa
-    
-
-
-class Example(LiquidData):
-    """ 
-    Heat transfer fluid TherminolD12 by Solutia 
-    """
-    Name    = "Example"
-    Tmin    = -85 + 273.15
-    TminPsat=  40 + 273.15
-    Tmax    = 260 + 273.15
-    T       = np.array([   50,    60,    70,    80,    90,   100,   110,   120,   130,   140,   150])+273.15 # Kelvin
-    rho     = np.array([  740,   733,   726,   717,   710,   702,   695,   687,   679,   670,   662])        # kg/m3
-    c_p     = np.array([ 2235,  2280,  2326,  2361,  2406,  2445,  2485,  2528,  2571,  2607,  2645])        # J/kg-K
-    lam     = np.array([0.105, 0.104, 0.102, 0.100, 0.098, 0.096, 0.095, 0.093, 0.091, 0.089, 0.087])        # W/m-K
-    mu_dyn  = np.array([0.804, 0.704, 0.623, 0.556, 0.498, 0.451, 0.410, 0.374, 0.346, 0.317, 0.289])        # Pa-s 
-    psat    = np.array([  0.5,   0.9,   1.4,   2.3,   3.9,   6.0,   8.7,  12.4,  17.6,  24.4,  33.2])        # Pa     
-    
-    
-#class TherminolD12(LiquidData):
-#    """ 
-#    Heat transfer fluid Therminol D12 by Solutia
-#    Source: http://twt.mpei.ac.ru/MCS/Worksheets/HEDH/.%5C..%5C..%5C..%5CTTHB%5CHEDH%5CHTF-D12.PDF
-#    """
-#    Tmin    = -85 + 273.15
-#    TminPsat=  40 + 273.15
-#    Tmax    = 260 + 273.15    
-#    T       = np.array([   50,    60,    70,    80,    90,   100,   110,   120,   130,   140,   150])+273.15 # Kelvin
-#    rho     = np.array([  740,   733,   726,   717,   710,   702,   695,   687,   679,   670,   662])        # kg/m3
-#    c_p     = np.array([ 2235,  2280,  2326,  2361,  2406,  2445,  2485,  2528,  2571,  2607,  2645])/1000.  # kJ/kg-K
-#    lam     = np.array([0.105, 0.104, 0.102, 0.100, 0.098, 0.096, 0.095, 0.093, 0.091, 0.089, 0.087])/1000.  # kW/m-K
-#    mu_dyn  = np.array([0.804, 0.704, 0.623, 0.556, 0.498, 0.451, 0.410, 0.374, 0.346, 0.317, 0.289])/1000.  # Pa-s 
-#    psat    = np.array([  0.5,   0.9,   1.4,   2.3,   3.9,   6.0,   8.7,  12.4,  17.6,  24.4,  33.2])        # kPa 
-    
-    
-class TherminolD12(LiquidData):
-    """ 
-    Heat transfer fluid Therminol D12 by Solutia
-    Source: Therminol Heat Transfer Reference Disk
-    """
-    T       = np.array([-8.50000E+1, -8.00000E+1, -7.50000E+1, -7.00000E+1, -6.50000E+1, -6.00000E+1, -5.50000E+1, -5.00000E+1, -4.50000E+1, -4.00000E+1, -3.50000E+1, -3.00000E+1, -2.50000E+1, -2.00000E+1, -1.50000E+1, -1.00000E+1, -5.00000E+0, +0.00000E+0, +5.00000E+0, +1.00000E+1, +1.50000E+1, +2.00000E+1, +2.50000E+1, +3.00000E+1, +3.50000E+1, +4.00000E+1, +4.50000E+1, +5.00000E+1, +5.50000E+1, +6.00000E+1, +6.50000E+1, +7.00000E+1, +7.50000E+1, +8.00000E+1, +8.50000E+1, +9.00000E+1, +9.50000E+1, +1.00000E+2, +1.05000E+2, +1.10000E+2, +1.15000E+2, +1.20000E+2, +1.25000E+2, +1.30000E+2, +1.35000E+2, +1.40000E+2, +1.45000E+2, +1.50000E+2, +1.55000E+2, +1.60000E+2, +1.65000E+2, +1.70000E+2, +1.75000E+2, +1.80000E+2, +1.85000E+2, +1.90000E+2, +1.95000E+2, +2.00000E+2, +2.05000E+2, +2.10000E+2, +2.15000E+2, +2.20000E+2, +2.25000E+2, +2.30000E+2])+273.15  # Kelvin
-    rho     = np.array([+8.35000E+2, +8.32000E+2, +8.28000E+2, +8.25000E+2, +8.22000E+2, +8.18000E+2, +8.15000E+2, +8.11000E+2, +8.08000E+2, +8.05000E+2, +8.01000E+2, +7.98000E+2, +7.94000E+2, +7.91000E+2, +7.87000E+2, +7.84000E+2, +7.80000E+2, +7.77000E+2, +7.73000E+2, +7.70000E+2, +7.66000E+2, +7.62000E+2, +7.59000E+2, +7.55000E+2, +7.52000E+2, +7.48000E+2, +7.44000E+2, +7.41000E+2, +7.37000E+2, +7.33000E+2, +7.29000E+2, +7.26000E+2, +7.22000E+2, +7.18000E+2, +7.14000E+2, +7.10000E+2, +7.06000E+2, +7.03000E+2, +6.99000E+2, +6.95000E+2, +6.91000E+2, +6.87000E+2, +6.82000E+2, +6.78000E+2, +6.74000E+2, +6.70000E+2, +6.66000E+2, +6.61000E+2, +6.57000E+2, +6.53000E+2, +6.48000E+2, +6.44000E+2, +6.39000E+2, +6.35000E+2, +6.30000E+2, +6.25000E+2, +6.20000E+2, +6.16000E+2, +6.11000E+2, +6.06000E+2, +6.00000E+2, +5.95000E+2, +5.90000E+2, +5.84000E+2])         # kg/m3
-    c_p     = np.array([+1.69400E+0, +1.71200E+0, +1.73100E+0, +1.75000E+0, +1.76800E+0, +1.78700E+0, +1.80600E+0, +1.82400E+0, +1.84300E+0, +1.86200E+0, +1.88100E+0, +1.90000E+0, +1.91900E+0, +1.93800E+0, +1.95700E+0, +1.97700E+0, +1.99600E+0, +2.01500E+0, +2.03500E+0, +2.05400E+0, +2.07300E+0, +2.09300E+0, +2.11300E+0, +2.13200E+0, +2.15200E+0, +2.17200E+0, +2.19100E+0, +2.21100E+0, +2.23100E+0, +2.25100E+0, +2.27100E+0, +2.29100E+0, +2.31200E+0, +2.33200E+0, +2.35200E+0, +2.37300E+0, +2.39300E+0, +2.41400E+0, +2.43400E+0, +2.45500E+0, +2.47600E+0, +2.49600E+0, +2.51700E+0, +2.53800E+0, +2.55900E+0, +2.58000E+0, +2.60200E+0, +2.62300E+0, +2.64400E+0, +2.66600E+0, +2.68700E+0, +2.70900E+0, +2.73100E+0, +2.75300E+0, +2.77500E+0, +2.79700E+0, +2.82000E+0, +2.84200E+0, +2.86500E+0, +2.88800E+0, +2.91100E+0, +2.93500E+0, +2.95900E+0, +2.98300E+0])*1000.   # J/kg-K
-    lam     = np.array([+1.24400E-1, +1.23800E-1, +1.23200E-1, +1.22500E-1, +1.21900E-1, +1.21300E-1, +1.20600E-1, +1.20000E-1, +1.19300E-1, +1.18600E-1, +1.18000E-1, +1.17300E-1, +1.16600E-1, +1.15900E-1, +1.15200E-1, +1.14500E-1, +1.13700E-1, +1.13000E-1, +1.12200E-1, +1.11500E-1, +1.10700E-1, +1.10000E-1, +1.09200E-1, +1.08400E-1, +1.07600E-1, +1.06800E-1, +1.06000E-1, +1.05200E-1, +1.04400E-1, +1.03500E-1, +1.02700E-1, +1.01900E-1, +1.01000E-1, +1.00100E-1, +9.93000E-2, +9.84000E-2, +9.75000E-2, +9.66000E-2, +9.57000E-2, +9.48000E-2, +9.39000E-2, +9.29000E-2, +9.20000E-2, +9.10000E-2, +9.01000E-2, +8.91000E-2, +8.82000E-2, +8.72000E-2, +8.62000E-2, +8.52000E-2, +8.42000E-2, +8.32000E-2, +8.22000E-2, +8.12000E-2, +8.01000E-2, +7.91000E-2, +7.80000E-2, +7.70000E-2, +7.59000E-2, +7.48000E-2, +7.38000E-2, +7.27000E-2, +7.16000E-2, +7.05000E-2])         # W/m-K
-    mu_dyn  = np.array([+3.59000E-1, +1.77000E-1, +9.59000E-2, +5.64000E-2, +3.55000E-2, +2.36000E-2, +1.65000E-2, +1.20000E-2, +9.07000E-3, +7.06000E-3, +5.63000E-3, +4.60000E-3, +3.82000E-3, +3.24000E-3, +2.78000E-3, +2.41000E-3, +2.12000E-3, +1.88000E-3, +1.69000E-3, +1.52000E-3, +1.38000E-3, +1.26000E-3, +1.16000E-3, +1.07000E-3, +9.88000E-4, +9.18000E-4, +8.56000E-4, +8.00000E-4, +7.50000E-4, +7.05000E-4, +6.64000E-4, +6.26000E-4, +5.92000E-4, +5.61000E-4, +5.31000E-4, +5.04000E-4, +4.79000E-4, +4.56000E-4, +4.35000E-4, +4.14000E-4, +3.95000E-4, +3.78000E-4, +3.61000E-4, +3.45000E-4, +3.30000E-4, +3.16000E-4, +3.03000E-4, +2.90000E-4, +2.78000E-4, +2.67000E-4, +2.57000E-4, +2.46000E-4, +2.37000E-4, +2.27000E-4, +2.19000E-4, +2.10000E-4, +2.02000E-4, +1.95000E-4, +1.87000E-4, +1.80000E-4, +1.74000E-4, +1.67000E-4, +1.61000E-4, +1.56000E-4])         # Pa-s 
-    psat    = np.array([+4.75000E-9, +2.07000E-8, +8.08000E-8, +2.81000E-7, +8.86000E-7, +2.56000E-6, +6.82000E-6, +1.70000E-5, +3.96000E-5, +8.75000E-5, +1.84000E-4, +3.68000E-4, +7.06000E-4, +1.30000E-3, +2.33000E-3, +4.02000E-3, +6.75000E-3, +1.10000E-2, +1.76000E-2, +2.73000E-2, +4.16000E-2, +6.21000E-2, +9.10000E-2, +1.31000E-1, +1.86000E-1, +2.59000E-1, +3.56000E-1, +4.84000E-1, +6.48000E-1, +8.59000E-1, +1.13000E+0, +1.46000E+0, +1.88000E+0, +2.39000E+0, +3.01000E+0, +3.77000E+0, +4.68000E+0, +5.76000E+0, +7.05000E+0, +8.57000E+0, +1.03000E+1, +1.24000E+1, +1.48000E+1, +1.76000E+1, +2.08000E+1, +2.44000E+1, +2.85000E+1, +3.32000E+1, +3.84000E+1, +4.43000E+1, +5.09000E+1, +5.83000E+1, +6.64000E+1, +7.55000E+1, +8.55000E+1, +9.65000E+1, +1.09000E+2, +1.22000E+2, +1.36000E+2, +1.52000E+2, +1.69000E+2, +1.88000E+2, +2.08000E+2, +2.29000E+2])*1000.   # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= Tmin
-    Name    = "TD12" 
-    Desc    = "TherminolD12"
-
-class TherminolVP1(LiquidData):
-    """ 
-    Heat transfer fluid Therminol VP-1 by Solutia
-    Source: Therminol Heat Transfer Reference Disk
-    """
-    T       = np.array([+1.20000E+1, +1.70000E+1, +2.20000E+1, +2.70000E+1, +3.20000E+1, +3.70000E+1, +4.20000E+1, +4.70000E+1, +5.20000E+1, +5.70000E+1, +6.20000E+1, +6.70000E+1, +7.20000E+1, +7.70000E+1, +8.20000E+1, +8.70000E+1, +9.20000E+1, +9.70000E+1, +1.02000E+2, +1.07000E+2, +1.12000E+2, +1.17000E+2, +1.22000E+2, +1.27000E+2, +1.32000E+2, +1.37000E+2, +1.42000E+2, +1.47000E+2, +1.52000E+2, +1.57000E+2, +1.62000E+2, +1.67000E+2, +1.72000E+2, +1.77000E+2, +1.82000E+2, +1.87000E+2, +1.92000E+2, +1.97000E+2, +2.02000E+2, +2.07000E+2, +2.12000E+2, +2.17000E+2, +2.22000E+2, +2.27000E+2, +2.32000E+2, +2.37000E+2, +2.42000E+2, +2.47000E+2, +2.52000E+2, +2.57000E+2, +2.62000E+2, +2.67000E+2, +2.72000E+2, +2.77000E+2, +2.82000E+2, +2.87000E+2, +2.92000E+2, +2.97000E+2, +3.02000E+2, +3.07000E+2, +3.12000E+2, +3.17000E+2, +3.22000E+2, +3.27000E+2, +3.32000E+2, +3.37000E+2, +3.42000E+2, +3.47000E+2, +3.52000E+2, +3.57000E+2, +3.62000E+2, +3.67000E+2, +3.72000E+2, +3.77000E+2, +3.82000E+2, +3.87000E+2, +3.92000E+2, +3.97000E+2])+273.15  # Kelvin
-    rho     = np.array([+1.07000E+3, +1.07000E+3, +1.06000E+3, +1.06000E+3, +1.05000E+3, +1.05000E+3, +1.05000E+3, +1.04000E+3, +1.04000E+3, +1.03000E+3, +1.03000E+3, +1.03000E+3, +1.02000E+3, +1.02000E+3, +1.01000E+3, +1.01000E+3, +1.01000E+3, +1.00000E+3, +9.97000E+2, +9.93000E+2, +9.88000E+2, +9.84000E+2, +9.80000E+2, +9.76000E+2, +9.72000E+2, +9.67000E+2, +9.63000E+2, +9.59000E+2, +9.55000E+2, +9.50000E+2, +9.46000E+2, +9.42000E+2, +9.37000E+2, +9.33000E+2, +9.29000E+2, +9.24000E+2, +9.20000E+2, +9.15000E+2, +9.11000E+2, +9.06000E+2, +9.02000E+2, +8.98000E+2, +8.93000E+2, +8.89000E+2, +8.84000E+2, +8.79000E+2, +8.75000E+2, +8.70000E+2, +8.65000E+2, +8.60000E+2, +8.56000E+2, +8.51000E+2, +8.46000E+2, +8.41000E+2, +8.36000E+2, +8.31000E+2, +8.25000E+2, +8.20000E+2, +8.15000E+2, +8.10000E+2, +8.04000E+2, +7.99000E+2, +7.93000E+2, +7.88000E+2, +7.82000E+2, +7.76000E+2, +7.70000E+2, +7.65000E+2, +7.59000E+2, +7.52000E+2, +7.46000E+2, +7.40000E+2, +7.33000E+2, +7.27000E+2, +7.20000E+2, +7.13000E+2, +7.06000E+2, +6.99000E+2])         # kg/m3
-    c_p     = np.array([+1.52300E+0, +1.53700E+0, +1.55200E+0, +1.56600E+0, +1.58100E+0, +1.59600E+0, +1.61000E+0, +1.62400E+0, +1.63900E+0, +1.65300E+0, +1.66800E+0, +1.68200E+0, +1.69600E+0, +1.71000E+0, +1.72400E+0, +1.73900E+0, +1.75300E+0, +1.76700E+0, +1.78100E+0, +1.79500E+0, +1.80900E+0, +1.82200E+0, +1.83600E+0, +1.85000E+0, +1.86400E+0, +1.87800E+0, +1.89100E+0, +1.90500E+0, +1.91900E+0, +1.93200E+0, +1.94600E+0, +1.95900E+0, +1.97300E+0, +1.98600E+0, +2.00000E+0, +2.01300E+0, +2.02700E+0, +2.04000E+0, +2.05400E+0, +2.06700E+0, +2.08000E+0, +2.09300E+0, +2.10700E+0, +2.12000E+0, +2.13300E+0, +2.14700E+0, +2.16000E+0, +2.17300E+0, +2.18600E+0, +2.19900E+0, +2.21300E+0, +2.22600E+0, +2.23900E+0, +2.25200E+0, +2.26600E+0, +2.27900E+0, +2.29300E+0, +2.30600E+0, +2.31900E+0, +2.33300E+0, +2.34700E+0, +2.36000E+0, +2.37400E+0, +2.38800E+0, +2.40200E+0, +2.41600E+0, +2.43100E+0, +2.44600E+0, +2.46000E+0, +2.47600E+0, +2.49100E+0, +2.50700E+0, +2.52300E+0, +2.54000E+0, +2.55800E+0, +2.57600E+0, +2.59500E+0, +2.61500E+0])*1000.   # J/kg-K
-    lam     = np.array([+1.37000E-1, +1.36600E-1, +1.36100E-1, +1.35600E-1, +1.35200E-1, +1.34700E-1, +1.34200E-1, +1.33600E-1, +1.33100E-1, +1.32600E-1, +1.32000E-1, +1.31500E-1, +1.30900E-1, +1.30400E-1, +1.29800E-1, +1.29200E-1, +1.28600E-1, +1.28000E-1, +1.27400E-1, +1.26800E-1, +1.26200E-1, +1.25600E-1, +1.24900E-1, +1.24300E-1, +1.23600E-1, +1.22900E-1, +1.22300E-1, +1.21600E-1, +1.20900E-1, +1.20200E-1, +1.19500E-1, +1.18700E-1, +1.18000E-1, +1.17300E-1, +1.16500E-1, +1.15800E-1, +1.15000E-1, +1.14200E-1, +1.13500E-1, +1.12700E-1, +1.11900E-1, +1.11100E-1, +1.10300E-1, +1.09400E-1, +1.08600E-1, +1.07800E-1, +1.06900E-1, +1.06000E-1, +1.05200E-1, +1.04300E-1, +1.03400E-1, +1.02500E-1, +1.01600E-1, +1.00700E-1, +9.98000E-2, +9.89000E-2, +9.79000E-2, +9.70000E-2, +9.60000E-2, +9.51000E-2, +9.41000E-2, +9.31000E-2, +9.21000E-2, +9.11000E-2, +9.01000E-2, +8.91000E-2, +8.81000E-2, +8.71000E-2, +8.60000E-2, +8.50000E-2, +8.39000E-2, +8.29000E-2, +8.18000E-2, +8.07000E-2, +7.96000E-2, +7.85000E-2, +7.74000E-2, +7.63000E-2])         # W/m-K
-    mu_dyn  = np.array([+5.48000E-3, +4.68000E-3, +4.05000E-3, +3.54000E-3, +3.12000E-3, +2.78000E-3, +2.49000E-3, +2.24000E-3, +2.04000E-3, +1.86000E-3, +1.70000E-3, +1.57000E-3, +1.45000E-3, +1.34000E-3, +1.25000E-3, +1.16000E-3, +1.09000E-3, +1.02000E-3, +9.62000E-4, +9.06000E-4, +8.56000E-4, +8.10000E-4, +7.68000E-4, +7.29000E-4, +6.93000E-4, +6.60000E-4, +6.30000E-4, +6.01000E-4, +5.75000E-4, +5.51000E-4, +5.28000E-4, +5.06000E-4, +4.86000E-4, +4.67000E-4, +4.50000E-4, +4.33000E-4, +4.18000E-4, +4.03000E-4, +3.89000E-4, +3.76000E-4, +3.64000E-4, +3.52000E-4, +3.41000E-4, +3.30000E-4, +3.20000E-4, +3.10000E-4, +3.01000E-4, +2.93000E-4, +2.84000E-4, +2.77000E-4, +2.69000E-4, +2.62000E-4, +2.55000E-4, +2.48000E-4, +2.42000E-4, +2.36000E-4, +2.30000E-4, +2.25000E-4, +2.19000E-4, +2.14000E-4, +2.09000E-4, +2.04000E-4, +2.00000E-4, +1.96000E-4, +1.91000E-4, +1.87000E-4, +1.83000E-4, +1.80000E-4, +1.76000E-4, +1.72000E-4, +1.69000E-4, +1.66000E-4, +1.62000E-4, +1.59000E-4, +1.56000E-4, +1.53000E-4, +1.51000E-4, +1.48000E-4])         # Pa-s 
-    psat    = np.array([+5.76000E-4, +9.86000E-4, +1.65000E-3, +2.68000E-3, +4.27000E-3, +6.67000E-3, +1.02000E-2, +1.53000E-2, +2.26000E-2, +3.29000E-2, +4.71000E-2, +6.65000E-2, +9.26000E-2, +1.27000E-1, +1.73000E-1, +2.32000E-1, +3.09000E-1, +4.07000E-1, +5.30000E-1, +6.85000E-1, +8.77000E-1, +1.11000E+0, +1.40000E+0, +1.76000E+0, +2.18000E+0, +2.70000E+0, +3.31000E+0, +4.03000E+0, +4.88000E+0, +5.88000E+0, +7.05000E+0, +8.40000E+0, +9.96000E+0, +1.18000E+1, +1.38000E+1, +1.62000E+1, +1.89000E+1, +2.19000E+1, +2.53000E+1, +2.92000E+1, +3.35000E+1, +3.84000E+1, +4.37000E+1, +4.97000E+1, +5.63000E+1, +6.37000E+1, +7.17000E+1, +8.06000E+1, +9.03000E+1, +1.01000E+2, +1.13000E+2, +1.25000E+2, +1.39000E+2, +1.54000E+2, +1.70000E+2, +1.87000E+2, +2.06000E+2, +2.26000E+2, +2.48000E+2, +2.71000E+2, +2.96000E+2, +3.23000E+2, +3.51000E+2, +3.82000E+2, +4.14000E+2, +4.48000E+2, +4.85000E+2, +5.24000E+2, +5.64000E+2, +6.08000E+2, +6.54000E+2, +7.02000E+2, +7.53000E+2, +8.06000E+2, +8.62000E+2, +9.21000E+2, +9.83000E+2, +1.05000E+3])*1000.   # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= Tmin 
-    Name    = "TVP1" 
-    Desc    = "TherminolVP1"
-    
-    
-class Therminol66(LiquidData):
-    """ 
-    Heat transfer fluid Therminol 66 by Solutia
-    Source: Therminol Heat Transfer Reference Disk
-    """
-    temp = np.linspace(0, 380, 30) # Celsius temperaure
-    def f_rho( T_C):
-        return -0.614254 * T_C - 0.000321 * T_C**2 + 1020.62
-    def f_cp( T_C):
-        return 0.003313 * T_C + 0.0000008970785 * T_C**2 + 1.496005
-    def f_mu( T_C):
-        return np.exp(586.375/(T_C+62.5) -2.2809 )
-    def f_lam( T_C):
-        return -0.000033 * T_C - 0.00000015 * T_C**2 + 0.118294
-    def f_psa( T_C):
-        return np.exp(-9094.51/(T_C+340) + 17.6371 )
-    
-    T       = temp + 273.15   # Kelvin
-    rho     = f_rho(temp)     # kg/m3
-    c_p     = f_cp(temp)*1e3  # J/kg-K
-    lam     = f_lam(temp)     # W/m-K
-    # Viscosity: Pa-s (dynamic = kinematic * rho)
-    # mm2/s /1e6 -> m2/s * kg/m3 = kg/s/m = Pa s 
-    mu_dyn  = f_mu(temp)/1e6 * rho 
-    psat    = f_psa(temp) * 1e3      # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= 70+273.15 
-    Name    = "T66" 
-    Desc    = "Therminol66"    
-    
-    
-class Therminol72(LiquidData):
-    """ 
-    Heat transfer fluid Therminol 72 by Solutia
-    Source: Therminol Heat Transfer Reference Disk
-    """
-    T       = np.array([-1.00000E+1, -5.00000E+0, +0.00000E+0, +5.00000E+0, +1.00000E+1, +1.50000E+1, +2.00000E+1, +2.50000E+1, +3.00000E+1, +3.50000E+1, +4.00000E+1, +4.50000E+1, +5.00000E+1, +5.50000E+1, +6.00000E+1, +6.50000E+1, +7.00000E+1, +7.50000E+1, +8.00000E+1, +8.50000E+1, +9.00000E+1, +9.50000E+1, +1.00000E+2, +1.05000E+2, +1.10000E+2, +1.15000E+2, +1.20000E+2, +1.25000E+2, +1.30000E+2, +1.35000E+2, +1.40000E+2, +1.45000E+2, +1.50000E+2, +1.55000E+2, +1.60000E+2, +1.65000E+2, +1.70000E+2, +1.75000E+2, +1.80000E+2, +1.85000E+2, +1.90000E+2, +1.95000E+2, +2.00000E+2, +2.05000E+2, +2.10000E+2, +2.15000E+2, +2.20000E+2, +2.25000E+2, +2.30000E+2, +2.35000E+2, +2.40000E+2, +2.45000E+2, +2.50000E+2, +2.55000E+2, +2.60000E+2, +2.65000E+2, +2.70000E+2, +2.75000E+2, +2.80000E+2, +2.85000E+2, +2.90000E+2, +2.95000E+2, +3.00000E+2, +3.05000E+2, +3.10000E+2, +3.15000E+2, +3.20000E+2, +3.25000E+2, +3.30000E+2, +3.35000E+2, +3.40000E+2, +3.45000E+2, +3.50000E+2, +3.55000E+2, +3.60000E+2, +3.65000E+2, +3.70000E+2, +3.75000E+2, +3.80000E+2])+273.15  # Kelvin
-    rho     = np.array([+1.11000E+3, +1.10000E+3, +1.10000E+3, +1.09000E+3, +1.09000E+3, +1.08000E+3, +1.08000E+3, +1.07000E+3, +1.07000E+3, +1.07000E+3, +1.06000E+3, +1.06000E+3, +1.05000E+3, +1.05000E+3, +1.04000E+3, +1.04000E+3, +1.03000E+3, +1.03000E+3, +1.02000E+3, +1.02000E+3, +1.02000E+3, +1.01000E+3, +1.01000E+3, +1.00000E+3, +9.97000E+2, +9.93000E+2, +9.88000E+2, +9.84000E+2, +9.79000E+2, +9.74000E+2, +9.70000E+2, +9.65000E+2, +9.61000E+2, +9.56000E+2, +9.52000E+2, +9.47000E+2, +9.43000E+2, +9.38000E+2, +9.34000E+2, +9.29000E+2, +9.25000E+2, +9.20000E+2, +9.16000E+2, +9.11000E+2, +9.06000E+2, +9.02000E+2, +8.98000E+2, +8.93000E+2, +8.89000E+2, +8.84000E+2, +8.80000E+2, +8.75000E+2, +8.71000E+2, +8.66000E+2, +8.62000E+2, +8.57000E+2, +8.53000E+2, +8.48000E+2, +8.44000E+2, +8.39000E+2, +8.34000E+2, +8.30000E+2, +8.25000E+2, +8.21000E+2, +8.16000E+2, +8.12000E+2, +8.07000E+2, +8.03000E+2, +7.98000E+2, +7.94000E+2, +7.89000E+2, +7.85000E+2, +7.80000E+2, +7.76000E+2, +7.71000E+2, +7.66000E+2, +7.62000E+2, +7.57000E+2, +7.53000E+2])         # kg/m3
-    c_p     = np.array([+1.47100E+0, +1.48400E+0, +1.49800E+0, +1.51200E+0, +1.52500E+0, +1.53900E+0, +1.55200E+0, +1.56600E+0, +1.57900E+0, +1.59300E+0, +1.60600E+0, +1.62000E+0, +1.63400E+0, +1.64700E+0, +1.66100E+0, +1.67400E+0, +1.68800E+0, +1.70100E+0, +1.71500E+0, +1.72800E+0, +1.74200E+0, +1.75500E+0, +1.76900E+0, +1.78300E+0, +1.79600E+0, +1.81000E+0, +1.82300E+0, +1.83700E+0, +1.85000E+0, +1.86400E+0, +1.87700E+0, +1.89100E+0, +1.90500E+0, +1.91800E+0, +1.93200E+0, +1.94500E+0, +1.95900E+0, +1.97200E+0, +1.98600E+0, +1.99900E+0, +2.01300E+0, +2.02600E+0, +2.04000E+0, +2.05400E+0, +2.06700E+0, +2.08100E+0, +2.09400E+0, +2.10800E+0, +2.12100E+0, +2.13500E+0, +2.14800E+0, +2.16200E+0, +2.17600E+0, +2.18900E+0, +2.20300E+0, +2.21600E+0, +2.23000E+0, +2.24300E+0, +2.25700E+0, +2.27000E+0, +2.28400E+0, +2.29700E+0, +2.31100E+0, +2.32500E+0, +2.33800E+0, +2.35200E+0, +2.36500E+0, +2.37900E+0, +2.39200E+0, +2.40600E+0, +2.41900E+0, +2.43300E+0, +2.44600E+0, +2.46000E+0, +2.47400E+0, +2.48700E+0, +2.50100E+0, +2.51400E+0, +2.52800E+0])*1000.   # J/kg-K
-    lam     = np.array([+1.43200E-1, +1.42600E-1, +1.42000E-1, +1.41400E-1, +1.40800E-1, +1.40200E-1, +1.39600E-1, +1.39000E-1, +1.38400E-1, +1.37800E-1, +1.37100E-1, +1.36500E-1, +1.35900E-1, +1.35300E-1, +1.34700E-1, +1.34100E-1, +1.33500E-1, +1.32900E-1, +1.32300E-1, +1.31700E-1, +1.31100E-1, +1.30500E-1, +1.29900E-1, +1.29300E-1, +1.28700E-1, +1.28000E-1, +1.27400E-1, +1.26800E-1, +1.26200E-1, +1.25600E-1, +1.25000E-1, +1.24400E-1, +1.23800E-1, +1.23200E-1, +1.22600E-1, +1.22000E-1, +1.21400E-1, +1.20800E-1, +1.20200E-1, +1.19600E-1, +1.18900E-1, +1.18300E-1, +1.17700E-1, +1.17100E-1, +1.16500E-1, +1.15900E-1, +1.15300E-1, +1.14700E-1, +1.14100E-1, +1.13500E-1, +1.12900E-1, +1.12300E-1, +1.11700E-1, +1.11100E-1, +1.10500E-1, +1.09800E-1, +1.09200E-1, +1.08600E-1, +1.08000E-1, +1.07400E-1, +1.06800E-1, +1.06200E-1, +1.05600E-1, +1.05000E-1, +1.04400E-1, +1.03800E-1, +1.03200E-1, +1.02600E-1, +1.02000E-1, +1.01400E-1, +1.00700E-1, +1.00100E-1, +9.95000E-2, +9.89000E-2, +9.83000E-2, +9.77000E-2, +9.71000E-2, +9.65000E-2, +9.59000E-2])         # W/m-K
-    mu_dyn  = np.array([+3.83000E-1, +1.19000E-1, +5.92000E-2, +3.60000E-2, +2.44000E-2, +1.77000E-2, +1.35000E-2, +1.07000E-2, +8.68000E-3, +7.21000E-3, +6.09000E-3, +5.21000E-3, +4.52000E-3, +3.96000E-3, +3.50000E-3, +3.12000E-3, +2.79000E-3, +2.52000E-3, +2.28000E-3, +2.08000E-3, +1.90000E-3, +1.75000E-3, +1.61000E-3, +1.49000E-3, +1.38000E-3, +1.29000E-3, +1.20000E-3, +1.12000E-3, +1.05000E-3, +9.86000E-4, +9.28000E-4, +8.74000E-4, +8.25000E-4, +7.79000E-4, +7.38000E-4, +6.99000E-4, +6.64000E-4, +6.31000E-4, +6.00000E-4, +5.72000E-4, +5.45000E-4, +5.20000E-4, +4.97000E-4, +4.75000E-4, +4.55000E-4, +4.36000E-4, +4.18000E-4, +4.01000E-4, +3.85000E-4, +3.70000E-4, +3.55000E-4, +3.42000E-4, +3.29000E-4, +3.17000E-4, +3.05000E-4, +2.95000E-4, +2.84000E-4, +2.74000E-4, +2.65000E-4, +2.56000E-4, +2.47000E-4, +2.39000E-4, +2.31000E-4, +2.24000E-4, +2.17000E-4, +2.10000E-4, +2.03000E-4, +1.97000E-4, +1.91000E-4, +1.85000E-4, +1.80000E-4, +1.75000E-4, +1.69000E-4, +1.65000E-4, +1.60000E-4, +1.55000E-4, +1.51000E-4, +1.47000E-4, +1.43000E-4])         # Pa-s 
-    psat    = np.array([+9.60000E-1, +1.05000E+0, +1.14000E+0, +1.24000E+0, +1.35000E+0, +1.47000E+0, +1.60000E+0, +1.74000E+0, +1.89000E+0, +2.06000E+0, +2.24000E+0, +2.44000E+0, +2.65000E+0, +2.88000E+0, +3.14000E+0, +3.41000E+0, +3.71000E+0, +4.03000E+0, +4.39000E+0, +4.77000E+0, +5.18000E+0, +5.63000E+0, +6.12000E+0, +6.66000E+0, +7.23000E+0, +7.86000E+0, +8.54000E+0, +9.27000E+0, +1.01000E+1, +1.10000E+1, +1.19000E+1, +1.29000E+1, +1.40000E+1, +1.52000E+1, +1.65000E+1, +1.80000E+1, +1.95000E+1, +2.12000E+1, +2.30000E+1, +2.49000E+1, +2.71000E+1, +2.94000E+1, +3.19000E+1, +3.46000E+1, +3.75000E+1, +4.07000E+1, +4.42000E+1, +4.79000E+1, +5.20000E+1, +5.64000E+1, +6.11000E+1, +6.63000E+1, +7.19000E+1, +7.79000E+1, +8.45000E+1, +9.15000E+1, +9.92000E+1, +1.08000E+2, +1.17000E+2, +1.26000E+2, +1.37000E+2, +1.48000E+2, +1.61000E+2, +1.74000E+2, +1.89000E+2, +2.04000E+2, +2.21000E+2, +2.40000E+2, +2.60000E+2, +2.81000E+2, +3.04000E+2, +3.30000E+2, +3.57000E+2, +3.86000E+2, +4.18000E+2, +4.53000E+2, +4.90000E+2, +5.30000E+2, +5.74000E+2])*1000.   # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= Tmin 
-    Name    = "T72" 
-    Desc    = "Therminol72"
-    
-    
-    
-class DowthermJ(LiquidData):
-    """ 
-    Heat transfer fluid Dowtherm J by Dow Chemicals
-    Source: Dow Chemicals data sheet
-    """
-    T       = np.array([-8.00000E+1, -7.00000E+1, -6.00000E+1, -5.00000E+1, -4.00000E+1, -3.00000E+1, -2.00000E+1, -1.00000E+1, +0.00000E+0, +1.00000E+1, +2.00000E+1, +3.00000E+1, +4.00000E+1, +5.00000E+1, +6.00000E+1, +7.00000E+1, +8.00000E+1, +9.00000E+1, +1.00000E+2, +1.10000E+2, +1.20000E+2, +1.30000E+2, +1.40000E+2, +1.50000E+2, +1.60000E+2, +1.70000E+2, +1.80000E+2, +1.81300E+2, +1.90000E+2, +2.00000E+2, +2.10000E+2, +2.20000E+2, +2.30000E+2, +2.40000E+2, +2.50000E+2, +2.60000E+2, +2.70000E+2, +2.80000E+2, +2.90000E+2, +3.00000E+2, +3.10000E+2, +3.20000E+2, +3.30000E+2, +3.40000E+2, +3.45000E+2])+273.15  # Kelvin
-    rho     = np.array([+9.31300E+2, +9.27900E+2, +9.21000E+2, +9.14100E+2, +9.07100E+2, +9.00000E+2, +8.92900E+2, +8.85700E+2, +8.78500E+2, +8.71100E+2, +8.63700E+2, +8.56200E+2, +8.48700E+2, +8.41000E+2, +8.33200E+2, +8.25400E+2, +8.17400E+2, +8.09400E+2, +8.01200E+2, +7.92900E+2, +7.84400E+2, +7.75900E+2, +7.67100E+2, +7.58300E+2, +7.49200E+2, +7.40000E+2, +7.30600E+2, +7.29300E+2, +7.20900E+2, +7.11000E+2, +7.00900E+2, +6.90500E+2, +6.79800E+2, +6.68800E+2, +6.57300E+2, +6.45500E+2, +6.33100E+2, +6.20200E+2, +6.06600E+2, +5.92200E+2, +5.76900E+2, +5.60400E+2, +5.42400E+2, +5.22400E+2, +5.11400E+2])         # kg/m3
-    c_p     = np.array([+1.58400E+0, +1.59400E+0, +1.61600E+0, +1.63900E+0, +1.66300E+0, +1.68800E+0, +1.71400E+0, +1.74100E+0, +1.76900E+0, +1.79800E+0, +1.82800E+0, +1.85900E+0, +1.89000E+0, +1.92300E+0, +1.95500E+0, +1.98900E+0, +2.02300E+0, +2.05800E+0, +2.09300E+0, +2.12900E+0, +2.16500E+0, +2.20200E+0, +2.23900E+0, +2.27700E+0, +2.31500E+0, +2.35300E+0, +2.39200E+0, +2.39700E+0, +2.43200E+0, +2.47200E+0, +2.51200E+0, +2.55300E+0, +2.59400E+0, +2.63600E+0, +2.68000E+0, +2.72400E+0, +2.76900E+0, +2.81600E+0, +2.86600E+0, +2.91900E+0, +2.97600E+0, +3.04000E+0, +3.11500E+0, +3.20800E+0, +3.26500E+0])*1000.   # J/kg-K
-    lam     = np.array([+1.48500E-1, +1.47500E-1, +1.45300E-1, +1.43200E-1, +1.41100E-1, +1.39000E-1, +1.36800E-1, +1.34700E-1, +1.32600E-1, +1.30500E-1, +1.28400E-1, +1.26200E-1, +1.24100E-1, +1.22000E-1, +1.19900E-1, +1.17700E-1, +1.15600E-1, +1.13500E-1, +1.11400E-1, +1.09300E-1, +1.07100E-1, +1.05000E-1, +1.02900E-1, +1.00800E-1, +9.87000E-2, +9.65000E-2, +9.44000E-2, +9.41000E-2, +9.23000E-2, +9.02000E-2, +8.80000E-2, +8.59000E-2, +8.38000E-2, +8.17000E-2, +7.96000E-2, +7.74000E-2, +7.53000E-2, +7.32000E-2, +7.11000E-2, +6.90000E-2, +6.68000E-2, +6.47000E-2, +6.26000E-2, +6.05000E-2, +5.94000E-2])         # W/m-K
-    mu_dyn  = np.array([+8.43000E+0, +7.11000E+0, +5.12000E+0, +3.78000E+0, +2.88000E+0, +2.25000E+0, +1.80000E+0, +1.48000E+0, +1.23000E+0, +1.05000E+0, +9.10000E-1, +7.90000E-1, +7.00000E-1, +6.30000E-1, +5.60000E-1, +5.10000E-1, +4.70000E-1, +4.30000E-1, +4.00000E-1, +3.70000E-1, +3.50000E-1, +3.30000E-1, +3.10000E-1, +2.90000E-1, +2.80000E-1, +2.70000E-1, +2.50000E-1, +2.50000E-1, +2.40000E-1, +2.30000E-1, +2.30000E-1, +2.20000E-1, +2.10000E-1, +2.00000E-1, +2.00000E-1, +1.90000E-1, +1.80000E-1, +1.80000E-1, +1.70000E-1, +1.70000E-1, +1.70000E-1, +1.60000E-1, +1.60000E-1, +1.60000E-1, +1.50000E-1])/1000.   # Pa-s
-    psat    = np.array([+0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +5.00000E-3, +1.00000E-2, +2.00000E-2, +3.00000E-2, +5.00000E-2, +8.00000E-2, +1.10000E-1, +1.60000E-1, +2.30000E-1, +3.20000E-1, +4.30000E-1, +5.80000E-1, +7.60000E-1, +9.80000E-1, +1.01000E+0, +1.25000E+0, +1.58000E+0, +1.97000E+0, +2.43000E+0, +2.96000E+0, +3.59000E+0, +4.30000E+0, +5.13000E+0, +6.06000E+0, +7.12000E+0, +8.31000E+0, +9.64000E+0, +1.11300E+1, +1.27900E+1, +1.46400E+1, +1.66900E+1, +1.78000E+1])*1e5     # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= 50 + 273.15 
-    Name    = "DowJ" 
-    Desc    = "DowthermJ"
-    
-class DowthermQ(LiquidData):
-    """ 
-    Heat transfer fluid Dowtherm Q by Dow Chemicals
-    Source: Dow Chemicals data sheet
-    """
-    T       = np.array([-3.50000E+1, -3.00000E+1, -2.00000E+1, -1.00000E+1, +0.00000E+0, +1.00000E+1, +2.00000E+1, +3.00000E+1, +4.00000E+1, +5.00000E+1, +6.00000E+1, +7.00000E+1, +8.00000E+1, +9.00000E+1, +1.00000E+2, +1.10000E+2, +1.20000E+2, +1.30000E+2, +1.40000E+2, +1.50000E+2, +1.60000E+2, +1.70000E+2, +1.80000E+2, +1.90000E+2, +2.00000E+2, +2.10000E+2, +2.20000E+2, +2.30000E+2, +2.40000E+2, +2.50000E+2, +2.60000E+2, +2.70000E+2, +2.80000E+2, +2.90000E+2, +3.00000E+2, +3.10000E+2, +3.20000E+2, +3.30000E+2, +3.40000E+2, +3.50000E+2, +3.60000E+2])+273.15  # Kelvin
-    rho     = np.array([+1.01140E+3, +1.00320E+3, +9.95600E+2, +9.88000E+2, +9.80500E+2, +9.72900E+2, +9.65400E+2, +9.57800E+2, +9.50200E+2, +9.42700E+2, +9.35100E+2, +9.27600E+2, +9.20000E+2, +9.12400E+2, +9.04900E+2, +8.97300E+2, +8.89800E+2, +8.82200E+2, +8.74600E+2, +8.67100E+2, +8.59500E+2, +8.52000E+2, +8.44400E+2, +8.36800E+2, +8.29300E+2, +8.21700E+2, +8.14200E+2, +8.06600E+2, +7.99000E+2, +7.91500E+2, +7.83900E+2, +7.76400E+2, +7.68800E+2, +7.61200E+2, +7.53700E+2, +7.46100E+2, +7.38600E+2, +7.31000E+2, +7.23400E+2, +7.15900E+2, +7.08300E+2])         # kg/m3
-    c_p     = np.array([+1.47800E+0, +1.49200E+0, +1.52500E+0, +1.55700E+0, +1.58900E+0, +1.62100E+0, +1.65300E+0, +1.68500E+0, +1.71600E+0, +1.74800E+0, +1.77900E+0, +1.81100E+0, +1.84200E+0, +1.87300E+0, +1.90400E+0, +1.93500E+0, +1.96600E+0, +1.99700E+0, +2.02700E+0, +2.05800E+0, +2.08800E+0, +2.11800E+0, +2.14800E+0, +2.17800E+0, +2.20800E+0, +2.23800E+0, +2.26800E+0, +2.29700E+0, +2.32700E+0, +2.35600E+0, +2.38600E+0, +2.41500E+0, +2.44400E+0, +2.47300E+0, +2.50200E+0, +2.53000E+0, +2.55900E+0, +2.58700E+0, +2.61600E+0, +2.64400E+0, +2.67200E+0])*1000.   # J/kg-K
-    lam     = np.array([+1.28000E-1, +1.27700E-1, +1.26600E-1, +1.25500E-1, +1.24400E-1, +1.23200E-1, +1.22000E-1, +1.20800E-1, +1.19500E-1, +1.18300E-1, +1.17000E-1, +1.15600E-1, +1.14300E-1, +1.12900E-1, +1.11500E-1, +1.10100E-1, +1.08700E-1, +1.07200E-1, +1.05800E-1, +1.04300E-1, +1.02800E-1, +1.01300E-1, +9.98000E-2, +9.82000E-2, +9.67000E-2, +9.52000E-2, +9.36000E-2, +9.21000E-2, +9.05000E-2, +8.89000E-2, +8.74000E-2, +8.58000E-2, +8.43000E-2, +8.27000E-2, +8.11000E-2, +7.96000E-2, +7.80000E-2, +7.65000E-2, +7.49000E-2, +7.34000E-2, +7.19000E-2])         # W/m-K
-    mu_dyn  = np.array([+4.66000E+1, +2.42000E+1, +1.61000E+1, +1.09000E+1, +7.56000E+0, +5.42000E+0, +4.00000E+0, +3.04000E+0, +2.37000E+0, +1.89000E+0, +1.54000E+0, +1.28000E+0, +1.07000E+0, +9.20000E-1, +8.00000E-1, +7.00000E-1, +6.20000E-1, +5.50000E-1, +5.00000E-1, +4.50000E-1, +4.10000E-1, +3.80000E-1, +3.50000E-1, +3.30000E-1, +3.10000E-1, +2.90000E-1, +2.70000E-1, +2.60000E-1, +2.40000E-1, +2.30000E-1, +2.20000E-1, +2.10000E-1, +2.00000E-1, +1.90000E-1, +1.90000E-1, +1.80000E-1, +1.70000E-1, +1.70000E-1, +1.60000E-1, +1.60000E-1, +1.50000E-1])/1000.   # Pa-s
-    psat    = np.array([+0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +5.00000E-3, +1.00000E-2, +2.00000E-2, +3.00000E-2, +5.00000E-2, +7.00000E-2, +9.00000E-2, +1.30000E-1, +1.70000E-1, +2.30000E-1, +3.10000E-1, +4.00000E-1, +5.10000E-1, +6.40000E-1, +8.10000E-1, +1.00000E+0, +1.24000E+0, +1.51000E+0, +1.82000E+0, +2.19000E+0, +2.61000E+0, +3.09000E+0, +3.64000E+0, +4.25000E+0, +4.95000E+0])*1e5     # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= 120 + 273.15 
-    Name    = "DowQ" 
-    Desc    = "DowthermQ"
-    
-    
-class Texatherm22(LiquidData):
-    """ 
-    Heat transfer fluid Texatherm 22 by Texaco
-    Source: Texaco data sheet
-    """
-    T       = np.array([+0.00000E+0, +4.00000E+1, +5.00000E+1, +1.00000E+2, +1.50000E+2, +2.00000E+2, +2.50000E+2, +3.00000E+2, +3.50000E+2])+273.15  # Kelvin
-    rho     = np.array([+8.74500E+2, +8.47300E+2, +8.42500E+2, +8.10500E+2, +7.76300E+2, +7.41600E+2, +7.03200E+2, +6.68000E+2, +6.21500E+2])         # kg/m3
-    c_p     = np.array([+1.81000E+0, +1.95000E+0, +1.99000E+0, +2.18000E+0, +2.36000E+0, +2.54000E+0, +2.72000E+0, +2.90000E+0, +3.08000E+0])*1e3     # J/kg-K
-    lam     = np.array([+1.35000E-1, +1.32000E-1, +1.32000E-1, +1.28000E-1, +1.25000E-1, +1.21000E-1, +1.17100E-1, +1.13000E-1, +1.10000E-1])         # W/m-K
-    mu_dyn  = np.array([+4.19760E+2, +0.00000E+0, +2.31688E+1, +0.00000E+0, +2.09601E+0, +1.26072E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0])/1000.   # Pa-s
-    psat    = np.array([+0.00000E+0, +5.3300E-10, +4.00000E-8, +2.67000E-7, +2.27000E-5, +4.67000E-4, +6.67000E-3, +2.13000E-2, +5.33000E-2])*1e5     # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= 40 + 273.15 
-    Name    = "TX22" 
-    Desc    = "Texatherm22"
-    
-    
-class NitrateSalt(LiquidData):
-    """ 
-    Heat transfer fluid based on 60% NaNO3 and 40% KNO3
-    Source: Solar Power Tower Design Basis Document,  Alexis B. Zavoico, Sandia Labs, USA
-    """
-    temp = np.linspace(300, 600, 25) # Celsius temperaure
-    def f_rho( T_C):
-        return 2090 - 0.636 * T_C
-    def f_cp( T_C):
-        return 1443 + 0.172 * T_C
-    def f_mu( T_C):
-        return 22.714 - 0.120 * T_C + 2.281 * 1e-4 * T_C*T_C - 1.474 * 1e-7 * T_C*T_C*T_C 
-    def f_lam( T_C):
-        return 0.443 + 1.9e-4 * T_C 
-    
-    T       = temp + 273.15   # Kelvin
-    rho     = f_rho(temp)     # kg/m3
-    c_p     = f_cp(temp)      # J/kg-K
-    lam     = f_lam(temp)     # W/m-K
-    mu_dyn  = f_mu(temp)/1e3  # Pa-s
-    psat    = temp * 0        # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= Tmax 
-    Name    = "NaK" 
-    Desc    = "NitrateSalt"
-    
-
-class SylthermXLT(LiquidData):
-    """ 
-    Heat transfer fluid Syltherm XLT by Dow Chemicals
-    Source: Dow Chemicals data sheet
-    """    
-    T       = np.array([-1.00000E+2, -9.50000E+1, -9.00000E+1, -8.50000E+1, -8.00000E+1, -7.50000E+1, -7.00000E+1, -6.50000E+1, -6.00000E+1, -5.50000E+1, -5.00000E+1, -4.50000E+1, -4.00000E+1, -3.50000E+1, -3.00000E+1, -2.50000E+1, -2.00000E+1, -1.50000E+1, -1.00000E+1, -5.00000E+0, +0.00000E+0, +5.00000E+0, +1.00000E+1, +1.50000E+1, +2.00000E+1, +2.50000E+1, +3.00000E+1, +3.50000E+1, +4.00000E+1, +4.50000E+1, +5.00000E+1, +5.50000E+1, +6.00000E+1, +6.50000E+1, +7.00000E+1, +7.50000E+1, +8.00000E+1, +8.50000E+1, +9.00000E+1, +9.50000E+1, +1.00000E+2, +1.05000E+2, +1.10000E+2, +1.15000E+2, +1.20000E+2, +1.25000E+2, +1.30000E+2, +1.35000E+2, +1.40000E+2, +1.45000E+2, +1.50000E+2, +1.55000E+2, +1.60000E+2, +1.65000E+2, +1.70000E+2, +1.75000E+2, +1.80000E+2, +1.85000E+2, +1.90000E+2, +1.95000E+2, +2.00000E+2, +2.05000E+2, +2.10000E+2, +2.15000E+2, +2.20000E+2, +2.25000E+2, +2.30000E+2, +2.35000E+2, +2.40000E+2, +2.45000E+2, +2.50000E+2, +2.55000E+2, +2.60000E+2])+273.15  # Kelvin
-    rho     = np.array([+9.78500E+2, +9.73400E+2, +9.68300E+2, +9.63100E+2, +9.58000E+2, +9.52900E+2, +9.47700E+2, +9.42600E+2, +9.37500E+2, +9.32300E+2, +9.27200E+2, +9.22000E+2, +9.16900E+2, +9.11800E+2, +9.06600E+2, +9.01500E+2, +8.96400E+2, +8.91200E+2, +8.86100E+2, +8.81000E+2, +8.75800E+2, +8.70700E+2, +8.65500E+2, +8.60400E+2, +8.55300E+2, +8.50100E+2, +8.45000E+2, +8.39900E+2, +8.34700E+2, +8.29600E+2, +8.24500E+2, +8.19300E+2, +8.14200E+2, +8.09100E+2, +8.03900E+2, +7.98800E+2, +7.93600E+2, +7.88500E+2, +7.83400E+2, +7.78200E+2, +7.73100E+2, +7.68000E+2, +7.62800E+2, +7.57700E+2, +7.52600E+2, +7.47400E+2, +7.42300E+2, +7.37200E+2, +7.32000E+2, +7.26900E+2, +7.21700E+2, +7.16600E+2, +7.11500E+2, +7.06300E+2, +7.01200E+2, +6.96100E+2, +6.90900E+2, +6.85800E+2, +6.80700E+2, +6.75500E+2, +6.70400E+2, +6.65300E+2, +6.60100E+2, +6.55000E+2, +6.49800E+2, +6.44700E+2, +6.39600E+2, +6.34400E+2, +6.29300E+2, +6.24200E+2, +6.19000E+2, +6.13900E+2, +6.08800E+2])         # kg/m3
-    c_p     = np.array([+1.52000E+0, +1.53000E+0, +1.54100E+0, +1.55100E+0, +1.56200E+0, +1.57200E+0, +1.58300E+0, +1.59300E+0, +1.60400E+0, +1.61400E+0, +1.62500E+0, +1.63500E+0, +1.64600E+0, +1.65600E+0, +1.66700E+0, +1.67700E+0, +1.68800E+0, +1.69800E+0, +1.70900E+0, +1.71900E+0, +1.73000E+0, +1.74000E+0, +1.75100E+0, +1.76100E+0, +1.77200E+0, +1.78200E+0, +1.79300E+0, +1.80300E+0, +1.81400E+0, +1.82400E+0, +1.83500E+0, +1.84500E+0, +1.85600E+0, +1.86600E+0, +1.87700E+0, +1.88700E+0, +1.89800E+0, +1.90800E+0, +1.91900E+0, +1.92900E+0, +1.94000E+0, +1.95000E+0, +1.96100E+0, +1.97100E+0, +1.98200E+0, +1.99200E+0, +2.00300E+0, +2.01300E+0, +2.02400E+0, +2.03400E+0, +2.04500E+0, +2.05500E+0, +2.06600E+0, +2.07600E+0, +2.08700E+0, +2.09700E+0, +2.10800E+0, +2.11800E+0, +2.12900E+0, +2.13900E+0, +2.15000E+0, +2.16000E+0, +2.17100E+0, +2.18100E+0, +2.19200E+0, +2.20200E+0, +2.21300E+0, +2.22300E+0, +2.23400E+0, +2.24400E+0, +2.25500E+0, +2.26500E+0, +2.27600E+0])*1e3     # J/kg-K
-    lam     = np.array([+1.34100E-1, +1.33200E-1, +1.32400E-1, +1.31500E-1, +1.30600E-1, +1.29700E-1, +1.28800E-1, +1.27900E-1, +1.26900E-1, +1.26000E-1, +1.25000E-1, +1.24100E-1, +1.23100E-1, +1.22100E-1, +1.21100E-1, +1.20100E-1, +1.19100E-1, +1.18100E-1, +1.17100E-1, +1.16100E-1, +1.15000E-1, +1.14000E-1, +1.12900E-1, +1.11900E-1, +1.10800E-1, +1.09700E-1, +1.08600E-1, +1.07500E-1, +1.06400E-1, +1.05300E-1, +1.04200E-1, +1.03000E-1, +1.01900E-1, +1.00800E-1, +9.96000E-2, +9.84400E-2, +9.72800E-2, +9.61000E-2, +9.49200E-2, +9.37300E-2, +9.25300E-2, +9.13300E-2, +9.01200E-2, +8.89100E-2, +8.76800E-2, +8.64500E-2, +8.52200E-2, +8.39800E-2, +8.27300E-2, +8.14700E-2, +8.02100E-2, +7.89500E-2, +7.76700E-2, +7.64000E-2, +7.51100E-2, +7.38200E-2, +7.25300E-2, +7.12300E-2, +6.99200E-2, +6.86100E-2, +6.72900E-2, +6.59700E-2, +6.46500E-2, +6.33100E-2, +6.19800E-2, +6.06400E-2, +5.92900E-2, +5.79400E-2, +5.65800E-2, +5.52300E-2, +5.38600E-2, +5.24900E-2, +5.11200E-2])         # W/m-K
-    mu_dyn  = np.array([+7.86100E+1, +5.01300E+1, +3.48600E+1, +2.58300E+1, +2.00400E+1, +1.60800E+1, +1.32200E+1, +1.10500E+1, +9.35600E+0, +7.99400E+0, +6.87900E+0, +5.95600E+0, +5.18400E+0, +4.53500E+0, +3.98600E+0, +3.52100E+0, +3.12600E+0, +2.78800E+0, +2.49900E+0, +2.25000E+0, +2.03500E+0, +1.84900E+0, +1.68700E+0, +1.54500E+0, +1.41900E+0, +1.30900E+0, +1.21000E+0, +1.12200E+0, +1.04300E+0, +9.72000E-1, +9.08000E-1, +8.49000E-1, +7.96000E-1, +7.48000E-1, +7.05000E-1, +6.65000E-1, +6.28000E-1, +5.95000E-1, +5.64000E-1, +5.36000E-1, +5.11000E-1, +4.87000E-1, +4.65000E-1, +4.45000E-1, +4.26000E-1, +4.09000E-1, +3.93000E-1, +3.77000E-1, +3.63000E-1, +3.50000E-1, +3.37000E-1, +3.25000E-1, +3.14000E-1, +3.03000E-1, +2.93000E-1, +2.84000E-1, +2.75000E-1, +2.66000E-1, +2.58000E-1, +2.51000E-1, +2.44000E-1, +2.38000E-1, +2.32000E-1, +2.26000E-1, +2.20000E-1, +2.15000E-1, +2.09000E-1, +2.04000E-1, +1.99000E-1, +1.94000E-1, +1.89000E-1, +1.85000E-1, +1.82000E-1])/1000.   # Pa-s
-    psat    = np.array([+0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0])*1e5     # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= Tmax 
-    Name    = "XLT" 
-    Desc    = "SylthermXLT"
-    
-    
-class HC50(LiquidData):
-    """ 
-    Heat transfer fluid Dynalene HC-50
-    Source: Dynalene
-    """
-    T       = np.array([+2.23150E+2,+2.33150E+2,+2.43150E+2,+2.53150E+2,+2.63150E+2,+2.73150E+2,+2.83150E+2,+2.93150E+2,+3.03150E+2,+3.13150E+2,+3.23150E+2,+3.33150E+2,+3.43150E+2,+3.53150E+2,+3.63150E+2,+3.73150E+2,+3.83150E+2,+3.93150E+2,+4.03150E+2,+4.13150E+2,+4.23150E+2,+4.33150E+2,+4.43150E+2,+4.53150E+2,+4.63150E+2,+4.73150E+2,+4.83150E+2]) # Kelvin
-    rho     = np.array([+1.37800E+3,+1.37300E+3,+1.36700E+3,+1.36200E+3,+1.35600E+3,+1.35100E+3,+1.34500E+3,+1.34000E+3,+1.33400E+3,+1.32800E+3,+1.32300E+3,+1.31700E+3,+1.31200E+3,+1.30600E+3,+1.30100E+3,+1.29500E+3,+1.29000E+3,+1.28400E+3,+1.27900E+3,+1.27300E+3,+1.26700E+3,+1.26200E+3,+1.25600E+3,+1.25100E+3,+1.24500E+3,+1.24000E+3,+1.23400E+3]) # kg/m3
-    c_p     = np.array([+2.56300E+3,+2.58300E+3,+2.60200E+3,+2.62200E+3,+2.64200E+3,+2.66100E+3,+2.68100E+3,+2.70100E+3,+2.72000E+3,+2.74000E+3,+2.76000E+3,+2.78000E+3,+2.79900E+3,+2.81900E+3,+2.83900E+3,+2.85800E+3,+2.87800E+3,+2.89800E+3,+2.91700E+3,+2.93700E+3,+2.95700E+3,+2.97700E+3,+2.99600E+3,+3.01600E+3,+3.03600E+3,+3.05500E+3,+3.07500E+3]) # J/kg-K
-    lam     = np.array([+4.35000E+2,+4.45000E+2,+4.55000E+2,+4.65000E+2,+4.75000E+2,+4.85000E+2,+4.95000E+2,+5.05000E+2,+5.15000E+2,+5.25000E+2,+5.35000E+2,+5.45000E+2,+5.55000E+2,+5.65000E+2,+5.75000E+2,+5.85000E+2,+5.95000E+2,+6.05000E+2,+6.15000E+2,+6.25000E+2,+6.35000E+2,+6.45000E+2,+6.55000E+2,+6.65000E+2,+6.75000E+2,+6.85000E+2,+6.94500E+2])/1e3 # W/m-K
-    mu_dyn  = np.array([+3.84000E-2,+2.04000E-2,+1.25000E-2,+8.40000E-3,+5.99000E-3,+4.70000E-3,+3.80000E-3,+3.20000E-3,+2.70000E-3,+2.40000E-3,+2.40000E-3,+1.80000E-3,+1.60000E-3,+1.50000E-3,+1.30000E-3,+1.20000E-3,+1.10000E-3,+1.00000E-3,+9.40000E-4,+8.70000E-4,+8.10000E-4,+7.60000E-4,+7.10000E-4,+6.60000E-4,+6.20000E-4,+5.80000E-4,+5.50000E-4]) # Pa-s
-    psat    = np.array([+0.00000E+0,+0.00000E+0,+0.00000E+0,+0.00000E+0,+0.00000E+0,+0.00000E+0,+0.00000E+0,+1.58579E+3,+1.93053E+3,+3.10264E+3,+5.58475E+3,+9.85950E+3,+1.64785E+4,+2.60622E+4,+3.93691E+4,+5.72954E+4,+8.06687E+4,+1.11695E+5,+1.50995E+5,+2.00637E+5,+2.63380E+5,+3.41290E+5,+4.36438E+5,+5.53649E+5,+6.95681E+5,+8.67360E+5,+1.07282E+6]) # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= 20+273.15 
-    Name    = "HC50"
-    Desc    = "Dynalene "+Name
-
-   
-class HC40(LiquidData):
-    """ 
-    Heat transfer fluid Dynalene HC-40
-    Source: Dynalene
-    """    
-    T       = np.array([+2.33150E+2,+2.43150E+2,+2.53150E+2,+2.63150E+2,+2.73150E+2,+2.83150E+2,+2.93150E+2,+3.03150E+2,+3.13150E+2,+3.23150E+2,+3.33150E+2,+3.43150E+2,+3.53150E+2,+3.63150E+2,+3.73150E+2,+3.83150E+2,+3.93150E+2,+4.03150E+2,+4.13150E+2,+4.23150E+2,+4.33150E+2,+4.38150E+2,+4.43150E+2,+4.53150E+2,+4.63150E+2,+4.73150E+2]) # Kelvin
-    rho     = np.array([+1.34800E+3,+1.34300E+3,+1.33700E+3,+1.33200E+3,+1.32600E+3,+1.32100E+3,+1.31500E+3,+1.30900E+3,+1.30400E+3,+1.29800E+3,+1.29300E+3,+1.28700E+3,+1.28100E+3,+1.27600E+3,+1.27000E+3,+1.26500E+3,+1.25900E+3,+1.25300E+3,+1.24800E+3,+1.24200E+3,+1.23700E+3,+1.23400E+3,+1.23100E+3,+1.22500E+3,+1.22000E+3,+1.21400E+3]) # kg/m3
-    c_p     = np.array([+2.80000E+3,+2.82000E+3,+2.84000E+3,+2.87000E+3,+2.89000E+3,+2.91000E+3,+2.93000E+3,+2.96000E+3,+2.98000E+3,+3.00000E+3,+3.03000E+3,+3.05000E+3,+3.07000E+3,+3.09000E+3,+3.12000E+3,+3.14000E+3,+3.16000E+3,+3.19000E+3,+3.21000E+3,+3.23000E+3,+3.25000E+3,+3.27000E+3,+3.28000E+3,+3.30000E+3,+3.32000E+3,+3.35000E+3]) # J/kg-K
-    lam     = np.array([+4.49000E+2,+4.59000E+2,+4.69000E+2,+4.79000E+2,+4.89000E+2,+4.99000E+2,+5.09000E+2,+5.19000E+2,+5.29000E+2,+5.39000E+2,+5.49000E+2,+5.59000E+2,+5.69000E+2,+5.79000E+2,+5.89000E+2,+5.99000E+2,+6.09000E+2,+6.19000E+2,+6.29000E+2,+6.39000E+2,+6.49000E+2,+6.54000E+2,+6.59000E+2,+6.69000E+2,+6.79000E+2,+6.89000E+2])/1e3 # W/m-K
-    mu_dyn  = np.array([+1.49000E-2,+9.20000E-3,+6.50000E-3,+4.90000E-3,+3.90000E-3,+3.20000E-3,+2.70000E-3,+2.30000E-3,+1.96000E-3,+1.70000E-3,+1.50000E-3,+1.40000E-3,+1.20000E-3,+1.10000E-3,+9.90000E-4,+9.10000E-4,+8.30000E-4,+7.70000E-4,+7.10000E-4,+6.60000E-4,+6.10000E-4,+5.90000E-4,+5.70000E-4,+5.30000E-4,+5.00000E-4,+4.70000E-4]) # Pa-s
-    psat    = np.array([+0.00000E+0,+0.00000E+0,+0.00000E+0,+0.00000E+0,+0.00000E+0,+0.00000E+0,+1.51685E+3,+2.20632E+3,+3.79212E+3,+6.68791E+3,+1.15142E+4,+1.87537E+4,+2.92338E+4,+4.37817E+4,+6.35007E+4,+8.96318E+4,+1.23416E+5,+1.66853E+5,+2.22701E+5,+2.92338E+5,+3.79212E+5,+4.85391E+5,+6.16391E+5,+7.74971E+5,+9.65955E+5,+1.19417E+6]) # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= 20+273.15  
-    Name    = "HC40"
-    Desc    = "Dynalene "+Name
-
-    
-class HC30(LiquidData):
-    """ 
-    Heat transfer fluid Dynalene HC-30
-    Source: Dynalene
-    """    
-    T       = np.array([+2.43150E+2,+2.53150E+2,+2.63150E+2,+2.73150E+2,+2.83150E+2,+2.93150E+2,+3.03150E+2,+3.13150E+2,+3.23150E+2,+3.33150E+2,+3.43150E+2,+3.53150E+2,+3.63150E+2,+3.73150E+2,+3.83150E+2,+3.93150E+2,+4.03150E+2,+4.13150E+2,+4.23150E+2,+4.33150E+2,+4.43150E+2,+4.53150E+2,+4.63150E+2,+4.73150E+2,+4.83150E+2]) # Kelvin
-    rho     = np.array([+1.30000E+3,+1.29500E+3,+1.29000E+3,+1.28500E+3,+1.28000E+3,+1.27500E+3,+1.27000E+3,+1.26500E+3,+1.26000E+3,+1.25500E+3,+1.25000E+3,+1.24400E+3,+1.23900E+3,+1.23400E+3,+1.22900E+3,+1.22400E+3,+1.21900E+3,+1.21400E+3,+1.20900E+3,+1.20400E+3,+1.19900E+3,+1.19300E+3,+1.18800E+3,+1.18300E+3,+1.17800E+3]) # kg/m3
-    c_p     = np.array([+2.96100E+3,+2.98400E+3,+3.00700E+3,+3.03100E+3,+3.05400E+3,+3.07700E+3,+3.10000E+3,+3.12300E+3,+3.14600E+3,+3.16900E+3,+3.19200E+3,+3.21500E+3,+3.23800E+3,+3.26200E+3,+3.28500E+3,+3.30800E+3,+3.33100E+3,+3.35400E+3,+3.37700E+3,+3.40000E+3,+3.42300E+3,+3.44600E+3,+3.46900E+3,+3.49300E+3,+3.51600E+3]) # J/kg-K
-    lam     = np.array([+4.69000E+2,+4.79000E+2,+4.89000E+2,+4.99000E+2,+5.09000E+2,+5.19000E+2,+5.29000E+2,+5.39000E+2,+5.49000E+2,+5.59000E+2,+5.69000E+2,+5.79000E+2,+5.89000E+2,+5.99000E+2,+6.09000E+2,+6.19000E+2,+6.29000E+2,+6.39000E+2,+6.49000E+2,+6.59000E+2,+6.69000E+2,+6.79000E+2,+6.89000E+2,+6.99000E+2,+7.09000E+2])/1e3 # W/m-K
-    mu_dyn  = np.array([+7.00000E-3,+5.50000E-3,+4.50000E-3,+3.70000E-3,+3.00000E-3,+2.50000E-3,+2.20000E-3,+1.90000E-3,+1.60000E-3,+1.40000E-3,+1.30000E-3,+1.10000E-3,+9.90000E-4,+8.90000E-4,+8.00000E-4,+7.30000E-4,+6.70000E-4,+6.10000E-4,+5.70000E-4,+5.20000E-4,+4.80000E-4,+4.50000E-4,+4.20000E-4,+3.90000E-4,+3.70000E-4]) # Pa-s
-    psat    = np.array([+0.00000E+0,+0.00000E+0,+0.00000E+0,+0.00000E+0,+0.00000E+0,+1.79264E+3,+2.41317E+3,+3.99896E+3,+7.17055E+3,+1.24795E+4,+2.06153E+4,+3.23364E+4,+4.86770E+4,+7.10160E+4,+9.99740E+4,+1.37895E+5,+1.86158E+5,+2.47522E+5,+3.24743E+5,+4.20580E+5,+5.39170E+5,+6.83960E+5,+8.59087E+5,+1.07145E+6,+1.32517E+6]) # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= 20+273.15  
-    Name    = "HC30"
-    Desc    = "Dynalene "+Name
-    
-    
-class HC20(LiquidData):
-    """ 
-    Heat transfer fluid Dynalene HC-20
-    Source: Dynalene
-    """    
-    T       = np.array([+2.53150E+2,+2.63150E+2,+2.73150E+2,+2.83150E+2,+2.93150E+2,+3.03150E+2,+3.13150E+2,+3.23150E+2,+3.33150E+2,+3.43150E+2,+3.53150E+2,+3.63150E+2,+3.73150E+2,+3.83150E+2,+3.93150E+2,+4.03150E+2,+4.13150E+2,+4.23150E+2,+4.33150E+2,+4.43150E+2,+4.53150E+2,+4.63150E+2,+4.73150E+2,+4.83150E+2]) # Kelvin
-    rho     = np.array([+1.25800E+3,+1.25300E+3,+1.24800E+3,+1.24200E+3,+1.23700E+3,+1.23200E+3,+1.22700E+3,+1.22200E+3,+1.21600E+3,+1.21100E+3,+1.20600E+3,+1.20100E+3,+1.19600E+3,+1.19100E+3,+1.18500E+3,+1.18000E+3,+1.17500E+3,+1.17000E+3,+1.16500E+3,+1.15900E+3,+1.15400E+3,+1.14900E+3,+1.14400E+3,+1.13900E+3]) # kg/m3
-    c_p     = np.array([+3.11700E+3,+3.14100E+3,+3.16400E+3,+3.18800E+3,+3.21200E+3,+3.23500E+3,+3.25900E+3,+3.28200E+3,+3.30600E+3,+3.33000E+3,+3.35300E+3,+3.37700E+3,+3.40000E+3,+3.42400E+3,+3.44800E+3,+3.47100E+3,+3.49500E+3,+3.51800E+3,+3.54200E+3,+3.56600E+3,+3.58900E+3,+3.61300E+3,+3.63600E+3,+3.66000E+3]) # J/kg-K
-    lam     = np.array([+4.83000E+2,+4.93000E+2,+5.03000E+2,+5.13000E+2,+5.23000E+2,+5.33000E+2,+5.43000E+2,+5.53000E+2,+5.63000E+2,+5.73000E+2,+5.83000E+2,+5.93000E+2,+6.03000E+2,+6.13000E+2,+6.23000E+2,+6.33000E+2,+6.43000E+2,+6.53000E+2,+6.63000E+2,+6.73000E+2,+6.83000E+2,+6.93000E+2,+7.03000E+2,+7.13000E+2])/1e3 # W/m-K
-    mu_dyn  = np.array([+4.50000E-3,+3.60000E-3,+3.00000E-3,+2.50000E-3,+2.10000E-3,+1.80000E-3,+1.60000E-3,+1.40000E-3,+1.20000E-3,+1.10000E-3,+9.50000E-4,+8.50000E-4,+7.70000E-4,+7.00000E-4,+6.30000E-4,+5.80000E-4,+5.40000E-4,+4.90000E-4,+4.60000E-4,+4.30000E-4,+4.00000E-4,+3.70000E-4,+3.50000E-4,+3.30000E-4]) # Pa-s
-    psat    = np.array([+0.00000E+0,+0.00000E+0,+0.00000E+0,+0.00000E+0,+2.06843E+3,+2.75790E+3,+4.55054E+3,+7.99792E+3,+1.37206E+4,+2.24769E+4,+3.52322E+4,+5.29517E+4,+7.72213E+4,+1.08937E+5,+1.50306E+5,+2.04085E+5,+2.71653E+5,+3.57148E+5,+4.62638E+5,+5.93639E+5,+7.52907E+5,+9.46650E+5,+1.18038E+6,+1.45962E+6]) # Pa  
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= 20+273.15  
-    Name    = "HC20"
-    Desc    = "Dynalene "+Name
-    
-
-class HC10(LiquidData):
-    """ 
-    Heat transfer fluid Dynalene HC-10
-    Source: Dynalene
-    """    
-    T       = np.array([+2.63150E+2,+2.73150E+2,+2.83150E+2,+2.93150E+2,+3.03150E+2,+3.13150E+2,+3.23150E+2,+3.33150E+2,+3.43150E+2,+3.53150E+2,+3.63150E+2,+3.73150E+2,+3.83150E+2,+3.93150E+2,+4.03150E+2,+4.13150E+2,+4.23150E+2,+4.33150E+2,+4.43150E+2,+4.53150E+2,+4.63150E+2,+4.73150E+2,+4.83150E+2,+4.91150E+2]) # Kelvin
-    rho     = np.array([+1.20400E+3,+1.19900E+3,+1.19500E+3,+1.19000E+3,+1.18600E+3,+1.18100E+3,+1.17700E+3,+1.17200E+3,+1.16700E+3,+1.16300E+3,+1.15800E+3,+1.15400E+3,+1.14900E+3,+1.14500E+3,+1.14000E+3,+1.13600E+3,+1.13100E+3,+1.12700E+3,+1.12200E+3,+1.11800E+3,+1.11300E+3,+1.10900E+3,+1.10400E+3,+1.10100E+3]) # kg/m3
-    c_p     = np.array([+3.24600E+3,+3.27100E+3,+3.29600E+3,+3.32000E+3,+3.34500E+3,+3.37000E+3,+3.39500E+3,+3.42000E+3,+3.44400E+3,+3.46900E+3,+3.49400E+3,+3.51900E+3,+3.54400E+3,+3.56800E+3,+3.59300E+3,+3.61800E+3,+3.64300E+3,+3.66800E+3,+3.69200E+3,+3.71700E+3,+3.74200E+3,+3.76700E+3,+3.79200E+3,+3.81100E+3]) # J/kg-K
-    lam     = np.array([+4.94000E+2,+5.04000E+2,+5.14000E+2,+5.24000E+2,+5.34000E+2,+5.44000E+2,+5.54000E+2,+5.64000E+2,+5.74000E+2,+5.84000E+2,+5.94000E+2,+6.04000E+2,+6.14000E+2,+6.24000E+2,+6.34000E+2,+6.44000E+2,+6.54000E+2,+6.64000E+2,+6.74000E+2,+6.84000E+2,+6.94000E+2,+7.04000E+2,+7.14000E+2,+7.22000E+2])/1e3 # W/m-K
-    mu_dyn  = np.array([+3.00000E-3,+2.50000E-3,+2.10000E-3,+1.80000E-3,+1.50000E-3,+1.30000E-3,+1.20000E-3,+1.00000E-3,+9.10000E-4,+8.10000E-4,+7.30000E-4,+6.60000E-4,+6.00000E-4,+5.50000E-4,+5.10000E-4,+4.70000E-4,+4.30000E-4,+4.00000E-4,+3.70000E-4,+3.50000E-4,+3.30000E-4,+3.10000E-4,+2.90000E-4,+2.80000E-4]) # Pa-s
-    psat    = np.array([+0.00000E+0,+0.00000E+0,+0.00000E+0,+2.27527E+3,+2.89580E+3,+4.75738E+3,+8.54950E+3,+1.48927E+4,+2.46143E+4,+3.87485E+4,+5.83986E+4,+8.48055E+4,+1.19969E+5,+1.65474E+5,+2.23390E+5,+2.97164E+5,+3.90243E+5,+5.05386E+5,+6.47418E+5,+8.20476E+5,+1.03146E+6,+1.28587E+6,+1.58993E+6,+1.87468E+6]) # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= 20+273.15  
-    Name    = "HC10"
-    Desc    = "Dynalene "+Name
-
-
-
-class AS10(LiquidData):
-    """ 
-    Heat transfer fluid Aspen Temper -10 by Aspen Petroleum
-    Source: SecCool Software
-    """ 
-    T       = np.array([2.65000E+02, 2.70000E+02, 2.75000E+02, 2.80000E+02, 2.85000E+02, 2.90000E+02, 2.95000E+02, 3.00000E+02]) # Kelvin
-    rho     = np.array([1.09160E+03, 1.09060E+03, 1.08960E+03, 1.08860E+03, 1.08760E+03, 1.08660E+03, 1.08560E+03, 1.08460E+03]) # kg/m3
-    c_p     = np.array([3.52460E+03, 3.53540E+03, 3.54550E+03, 3.55500E+03, 3.56380E+03, 3.57190E+03, 3.57940E+03, 3.58620E+03]) # J/kg-K
-    lam     = np.array([5.02200E-01, 5.09600E-01, 5.17000E-01, 5.24400E-01, 5.31800E-01, 5.39200E-01, 5.46700E-01, 5.54100E-01]) # W/m-K
-    mu_dyn  = np.array([3.83600E-03, 3.16000E-03, 2.61300E-03, 2.17700E-03, 1.83700E-03, 1.57700E-03, 1.38200E-03, 1.23500E-03]) # Pa-s
-    psat    = np.zeros(T.shape) # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= Tmax 
-    Name    = "AS10" 
-    Desc    = "Aspen Temper -10"
-
-
-class AS20(LiquidData):
-    """ 
-    Heat transfer fluid Aspen Temper -20 by Aspen Petroleum
-    Source: SecCool Software
-    """    
-    T       = np.array([2.55000E+02, 2.60000E+02, 2.65000E+02, 2.70000E+02, 2.75000E+02, 2.80000E+02, 2.85000E+02, 2.90000E+02, 2.95000E+02, 3.00000E+02]) # Kelvin
-    rho     = np.array([1.15050E+03, 1.14970E+03, 1.14870E+03, 1.14770E+03, 1.14660E+03, 1.14540E+03, 1.14420E+03, 1.14290E+03, 1.14150E+03, 1.14000E+03]) # kg/m3
-    c_p     = np.array([3.20660E+03, 3.22280E+03, 3.23840E+03, 3.25340E+03, 3.26780E+03, 3.28150E+03, 3.29470E+03, 3.30720E+03, 3.31920E+03, 3.33050E+03]) # J/kg-K
-    lam     = np.array([4.56400E-01, 4.63100E-01, 4.69800E-01, 4.76500E-01, 4.83200E-01, 4.90000E-01, 4.96700E-01, 5.03400E-01, 5.10100E-01, 5.16800E-01]) # W/m-K
-    mu_dyn  = np.array([7.43800E-03, 5.91400E-03, 4.74900E-03, 3.85900E-03, 3.17900E-03, 2.65900E-03, 2.26100E-03, 1.95800E-03, 1.72500E-03, 1.54800E-03]) # Pa-s
-    psat    = np.zeros(T.shape) # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= Tmax 
-    Name    = "AS20" 
-    Desc    = "Aspen Temper -20"
-	
-
-class AS30(LiquidData):
-    """ 
-    Heat transfer fluid Aspen Temper -30 by Aspen Petroleum
-    Source: SecCool Software
-    """   
-    T       = np.array([2.45000E+02, 2.50000E+02, 2.55000E+02, 2.60000E+02, 2.65000E+02, 2.70000E+02, 2.75000E+02, 2.80000E+02, 2.85000E+02, 2.90000E+02, 2.95000E+02, 3.00000E+02]) # Kelvin
-    rho     = np.array([1.19140E+03, 1.19030E+03, 1.18910E+03, 1.18770E+03, 1.18630E+03, 1.18480E+03, 1.18330E+03, 1.18170E+03, 1.18010E+03, 1.17840E+03, 1.17680E+03, 1.17510E+03]) # kg/m3
-    c_p     = np.array([2.96950E+03, 2.99130E+03, 3.01190E+03, 3.03100E+03, 3.04890E+03, 3.06540E+03, 3.08050E+03, 3.09430E+03, 3.10670E+03, 3.11770E+03, 3.12750E+03, 3.13580E+03]) # J/kg-K
-    lam     = np.array([4.25000E-01, 4.31300E-01, 4.37600E-01, 4.43900E-01, 4.50200E-01, 4.56400E-01, 4.62700E-01, 4.69000E-01, 4.75300E-01, 4.81600E-01, 4.87800E-01, 4.94100E-01]) # W/m-K
-    mu_dyn  = np.array([1.56400E-02, 1.19300E-02, 9.17800E-03, 7.14000E-03, 5.62900E-03, 4.50900E-03, 3.67900E-03, 3.06400E-03, 2.60800E-03, 2.27000E-03, 2.01900E-03, 1.83400E-03]) # Pa-s
-    psat    = np.zeros(T.shape) # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= Tmax 
-    Name    = "AS30" 
-    Desc    = "Aspen Temper -30"
-
-
-class AS40(LiquidData):
-    """ 
-    Heat transfer fluid Aspen Temper -40 by Aspen Petroleum
-    Source: SecCool Software
-    """   
-    T       = np.array([2.35000E+02, 2.40000E+02, 2.45000E+02, 2.50000E+02, 2.55000E+02, 2.60000E+02, 2.65000E+02, 2.70000E+02, 2.75000E+02, 2.80000E+02, 2.85000E+02, 2.90000E+02, 2.95000E+02, 3.00000E+02]) # Kelvin
-    rho     = np.array([1.22670E+03, 1.22560E+03, 1.22420E+03, 1.22280E+03, 1.22120E+03, 1.21960E+03, 1.21780E+03, 1.21600E+03, 1.21410E+03, 1.21220E+03, 1.21020E+03, 1.20820E+03, 1.20620E+03, 1.20420E+03]) # kg/m3
-    c_p     = np.array([2.83450E+03, 2.85970E+03, 2.88300E+03, 2.90430E+03, 2.92370E+03, 2.94120E+03, 2.95670E+03, 2.97030E+03, 2.98200E+03, 2.99170E+03, 2.99950E+03, 3.00530E+03, 3.00920E+03, 3.01120E+03]) # J/kg-K
-    lam     = np.array([4.01400E-01, 4.06900E-01, 4.12400E-01, 4.17900E-01, 4.23400E-01, 4.28900E-01, 4.34400E-01, 4.39900E-01, 4.45400E-01, 4.50900E-01, 4.56400E-01, 4.61800E-01, 4.67300E-01, 4.72800E-01]) # W/m-K
-    mu_dyn  = np.array([4.43400E-02, 3.01000E-02, 2.10800E-02, 1.52600E-02, 1.14300E-02, 8.84100E-03, 7.03900E-03, 5.74200E-03, 4.77600E-03, 4.03200E-03, 3.44300E-03, 2.96300E-03, 2.56600E-03, 2.23100E-03]) # Pa-s
-    psat    = np.zeros(T.shape) # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= Tmax 
-    Name    = "AS40" 
-    Desc    = "Aspen Temper -40"
-
-
-class AS55(LiquidData):
-    """ 
-    Heat transfer fluid Aspen Temper -55 by Aspen Petroleum
-    Source: SecCool Software
-    """ 
-    T       = np.array([2.20000E+02, 2.25000E+02, 2.30000E+02, 2.35000E+02, 2.40000E+02, 2.45000E+02, 2.50000E+02, 2.55000E+02, 2.60000E+02, 2.65000E+02, 2.70000E+02, 2.75000E+02, 2.80000E+02, 2.85000E+02, 2.90000E+02, 2.95000E+02, 3.00000E+02]) # Kelvin
-    rho     = np.array([1.26880E+03, 1.26780E+03, 1.26650E+03, 1.26510E+03, 1.26350E+03, 1.26180E+03, 1.25990E+03, 1.25790E+03, 1.25580E+03, 1.25350E+03, 1.25120E+03, 1.24890E+03, 1.24640E+03, 1.24400E+03, 1.24150E+03, 1.23900E+03, 1.23650E+03]) # kg/m3
-    c_p     = np.array([2.64790E+03, 2.67190E+03, 2.69470E+03, 2.71630E+03, 2.73660E+03, 2.75570E+03, 2.77350E+03, 2.79010E+03, 2.80540E+03, 2.81950E+03, 2.83240E+03, 2.84400E+03, 2.85440E+03, 2.86350E+03, 2.87140E+03, 2.87800E+03, 2.88340E+03]) # J/kg-K
-    lam     = np.array([3.82400E-01, 3.85900E-01, 3.89600E-01, 3.93300E-01, 3.97200E-01, 4.01200E-01, 4.05300E-01, 4.09500E-01, 4.13900E-01, 4.18300E-01, 4.22900E-01, 4.27500E-01, 4.32300E-01, 4.37200E-01, 4.42300E-01, 4.47400E-01, 4.52600E-01]) # W/m-K
-    mu_dyn  = np.array([2.93600E-01, 1.62700E-01, 9.44200E-02, 5.79500E-02, 3.78300E-02, 2.62200E-02, 1.91500E-02, 1.45600E-02, 1.14000E-02, 9.10600E-03, 7.36900E-03, 6.01200E-03, 4.93000E-03, 4.05600E-03, 3.34300E-03, 2.75900E-03, 2.27800E-03]) # Pa-s
-    psat    = np.zeros(T.shape) # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= Tmax 
-    Name    = "AS55" 
-    Desc    = "Aspen Temper -55"
-
-
-class ZS10(LiquidData):
-    """ 
-    Heat transfer fluid Zitrec S -10 by Arteco
-    Source: SecCool Software
-    """ 
-    T       = np.array([2.65000E+02, 2.70000E+02, 2.75000E+02, 2.80000E+02, 2.85000E+02, 2.90000E+02, 2.95000E+02, 3.00000E+02, 3.05000E+02, 3.10000E+02, 3.15000E+02, 3.20000E+02, 3.25000E+02, 3.30000E+02, 3.35000E+02, 3.40000E+02, 3.45000E+02, 3.50000E+02, 3.55000E+02, 3.60000E+02]) # Kelvin
-    rho     = np.array([1.10250E+03, 1.10020E+03, 1.09790E+03, 1.09550E+03, 1.09320E+03, 1.09090E+03, 1.08860E+03, 1.08630E+03, 1.08390E+03, 1.08160E+03, 1.07930E+03, 1.07700E+03, 1.07470E+03, 1.07230E+03, 1.07000E+03, 1.06770E+03, 1.06540E+03, 1.06300E+03, 1.06070E+03, 1.05840E+03]) # kg/m3
-    c_p     = np.array([3.54260E+03, 3.55520E+03, 3.56720E+03, 3.57880E+03, 3.59000E+03, 3.60070E+03, 3.61090E+03, 3.62060E+03, 3.62990E+03, 3.63870E+03, 3.64710E+03, 3.65500E+03, 3.66240E+03, 3.66940E+03, 3.67590E+03, 3.68190E+03, 3.68750E+03, 3.69260E+03, 3.69720E+03, 3.70140E+03]) # J/kg-K
-    lam     = np.array([4.99700E-01, 5.06300E-01, 5.13000E-01, 5.19600E-01, 5.26200E-01, 5.32800E-01, 5.39400E-01, 5.45900E-01, 5.52500E-01, 5.59000E-01, 5.65500E-01, 5.72000E-01, 5.78500E-01, 5.84900E-01, 5.91400E-01, 5.97800E-01, 6.04300E-01, 6.10700E-01, 6.17100E-01, 6.23400E-01]) # W/m-K
-    mu_dyn  = np.array([4.51900E-03, 3.75000E-03, 3.14500E-03, 2.66500E-03, 2.28200E-03, 1.97200E-03, 1.72000E-03, 1.51300E-03, 1.34200E-03, 1.20000E-03, 1.08100E-03, 9.80000E-04, 8.94000E-04, 8.21000E-04, 7.58000E-04, 7.03000E-04, 6.56000E-04, 6.14000E-04, 5.77000E-04, 5.44000E-04]) # Pa-s
-    psat    = np.zeros(T.shape) # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= Tmax 
-    Name    = "ZS10" 
-    Desc    = "Zitrec S -10"
-
-
-class ZS25(LiquidData):
-    """ 
-    Heat transfer fluid Zitrec S -25 by Arteco
-    Source: SecCool Software
-    """ 
-    T       = np.array([2.50000E+02, 2.55000E+02, 2.60000E+02, 2.65000E+02, 2.70000E+02, 2.75000E+02, 2.80000E+02, 2.85000E+02, 2.90000E+02, 2.95000E+02, 3.00000E+02, 3.05000E+02, 3.10000E+02, 3.15000E+02, 3.20000E+02, 3.25000E+02, 3.30000E+02, 3.35000E+02, 3.40000E+02, 3.45000E+02, 3.50000E+02, 3.55000E+02, 3.60000E+02]) # Kelvin
-    rho     = np.array([1.20620E+03, 1.20360E+03, 1.20090E+03, 1.19820E+03, 1.19560E+03, 1.19290E+03, 1.19030E+03, 1.18760E+03, 1.18490E+03, 1.18230E+03, 1.17960E+03, 1.17690E+03, 1.17430E+03, 1.17160E+03, 1.16890E+03, 1.16630E+03, 1.16360E+03, 1.16100E+03, 1.15830E+03, 1.15560E+03, 1.15300E+03, 1.15030E+03, 1.14760E+03]) # kg/m3
-    c_p     = np.array([3.17680E+03, 3.17880E+03, 3.18090E+03, 3.18290E+03, 3.18500E+03, 3.18710E+03, 3.18920E+03, 3.19130E+03, 3.19340E+03, 3.19550E+03, 3.19760E+03, 3.19980E+03, 3.20200E+03, 3.20410E+03, 3.20630E+03, 3.20850E+03, 3.21070E+03, 3.21290E+03, 3.21520E+03, 3.21740E+03, 3.21970E+03, 3.22200E+03, 3.22420E+03]) # J/kg-K
-    lam     = np.array([4.43000E-01, 4.49600E-01, 4.56200E-01, 4.62700E-01, 4.69200E-01, 4.75600E-01, 4.81900E-01, 4.88200E-01, 4.94400E-01, 5.00600E-01, 5.06700E-01, 5.12700E-01, 5.18700E-01, 5.24600E-01, 5.30400E-01, 5.36200E-01, 5.42000E-01, 5.47700E-01, 5.53300E-01, 5.58800E-01, 5.64300E-01, 5.69800E-01, 5.75200E-01]) # W/m-K
-    mu_dyn  = np.array([1.06800E-02, 8.37400E-03, 6.68600E-03, 5.42800E-03, 4.47800E-03, 3.74900E-03, 3.18300E-03, 2.73800E-03, 2.38400E-03, 2.10000E-03, 1.86800E-03, 1.67800E-03, 1.52000E-03, 1.38800E-03, 1.27500E-03, 1.17900E-03, 1.09500E-03, 1.02100E-03, 9.55000E-04, 8.95000E-04, 8.40000E-04, 7.89000E-04, 7.40000E-04]) # Pa-s
-    psat    = np.zeros(T.shape) # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= Tmax 
-    Name    = "ZS25" 
-    Desc    = "Zitrec S -25"
-
-	
-class ZS40(LiquidData):
-    """ 
-    Heat transfer fluid Zitrec S -40 by Arteco
-    Source: SecCool Software
-    """ 
-    T       = np.array([2.35000E+02, 2.40000E+02, 2.45000E+02, 2.50000E+02, 2.55000E+02, 2.60000E+02, 2.65000E+02, 2.70000E+02, 2.75000E+02, 2.80000E+02, 2.85000E+02, 2.90000E+02, 2.95000E+02, 3.00000E+02, 3.05000E+02, 3.10000E+02, 3.15000E+02, 3.20000E+02, 3.25000E+02, 3.30000E+02, 3.35000E+02, 3.40000E+02, 3.45000E+02, 3.50000E+02, 3.55000E+02, 3.60000E+02]) # Kelvin
-    rho     = np.array([1.28360E+03, 1.28080E+03, 1.27800E+03, 1.27510E+03, 1.27230E+03, 1.26940E+03, 1.26660E+03, 1.26380E+03, 1.26090E+03, 1.25810E+03, 1.25530E+03, 1.25240E+03, 1.24960E+03, 1.24680E+03, 1.24390E+03, 1.24110E+03, 1.23820E+03, 1.23540E+03, 1.23260E+03, 1.22970E+03, 1.22690E+03, 1.22410E+03, 1.22120E+03, 1.21840E+03, 1.21550E+03, 1.21270E+03]) # kg/m3
-    c_p     = np.array([2.69640E+03, 2.70500E+03, 2.71320E+03, 2.72100E+03, 2.72850E+03, 2.73570E+03, 2.74260E+03, 2.74940E+03, 2.75600E+03, 2.76250E+03, 2.76900E+03, 2.77540E+03, 2.78190E+03, 2.78850E+03, 2.79530E+03, 2.80220E+03, 2.80930E+03, 2.81670E+03, 2.82440E+03, 2.83250E+03, 2.84100E+03, 2.85000E+03, 2.85950E+03, 2.86950E+03, 2.88010E+03, 2.89140E+03]) # J/kg-K
-    lam     = np.array([4.15100E-01, 4.20500E-01, 4.25800E-01, 4.31200E-01, 4.36500E-01, 4.41800E-01, 4.47200E-01, 4.52500E-01, 4.57800E-01, 4.63100E-01, 4.68400E-01, 4.73600E-01, 4.78900E-01, 4.84200E-01, 4.89400E-01, 4.94700E-01, 4.99900E-01, 5.05200E-01, 5.10400E-01, 5.15600E-01, 5.20800E-01, 5.26000E-01, 5.31200E-01, 5.36400E-01, 5.41600E-01, 5.46800E-01]) # W/m-K
-    mu_dyn  = np.array([3.10200E-02, 2.28600E-02, 1.72100E-02, 1.32300E-02, 1.03600E-02, 8.26100E-03, 6.70400E-03, 5.53000E-03, 4.63200E-03, 3.93600E-03, 3.38900E-03, 2.95500E-03, 2.60700E-03, 2.32300E-03, 2.09100E-03, 1.89800E-03, 1.73500E-03, 1.59700E-03, 1.47900E-03, 1.37500E-03, 1.28400E-03, 1.20200E-03, 1.12700E-03, 1.05800E-03, 9.93000E-04, 9.30000E-04]) # Pa-s
-    psat    = np.zeros(T.shape) # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= Tmax 
-    Name    = "ZS40" 
-    Desc    = "Zitrec S -40"
-
-
-class ZS45(LiquidData):
-    """ 
-    Heat transfer fluid Zitrec S -45 by Arteco
-    Source: SecCool Software
-    """ 
-    T       = np.array([2.30000E+02, 2.35000E+02, 2.40000E+02, 2.45000E+02, 2.50000E+02, 2.55000E+02, 2.60000E+02, 2.65000E+02, 2.70000E+02, 2.75000E+02, 2.80000E+02, 2.85000E+02, 2.90000E+02, 2.95000E+02, 3.00000E+02, 3.05000E+02, 3.10000E+02, 3.15000E+02, 3.20000E+02, 3.25000E+02, 3.30000E+02, 3.35000E+02, 3.40000E+02, 3.45000E+02, 3.50000E+02, 3.55000E+02, 3.60000E+02]) # Kelvin
-    rho     = np.array([1.30590E+03, 1.30320E+03, 1.30040E+03, 1.29760E+03, 1.29490E+03, 1.29210E+03, 1.28940E+03, 1.28660E+03, 1.28380E+03, 1.28110E+03, 1.27830E+03, 1.27550E+03, 1.27280E+03, 1.27000E+03, 1.26730E+03, 1.26450E+03, 1.26170E+03, 1.25900E+03, 1.25620E+03, 1.25340E+03, 1.25070E+03, 1.24790E+03, 1.24520E+03, 1.24240E+03, 1.23960E+03, 1.23690E+03, 1.23410E+03]) # kg/m3
-    c_p     = np.array([2.55240E+03, 2.56350E+03, 2.57450E+03, 2.58550E+03, 2.59650E+03, 2.60760E+03, 2.61860E+03, 2.62960E+03, 2.64070E+03, 2.65170E+03, 2.66270E+03, 2.67370E+03, 2.68480E+03, 2.69580E+03, 2.70680E+03, 2.71790E+03, 2.72890E+03, 2.73990E+03, 2.75090E+03, 2.76200E+03, 2.77300E+03, 2.78400E+03, 2.79510E+03, 2.80610E+03, 2.81710E+03, 2.82810E+03, 2.83920E+03]) # J/kg-K
-    lam     = np.array([4.06200E-01, 4.11100E-01, 4.15900E-01, 4.20900E-01, 4.25800E-01, 4.30700E-01, 4.35700E-01, 4.40600E-01, 4.45600E-01, 4.50600E-01, 4.55700E-01, 4.60700E-01, 4.65800E-01, 4.70900E-01, 4.76000E-01, 4.81100E-01, 4.86200E-01, 4.91400E-01, 4.96600E-01, 5.01700E-01, 5.07000E-01, 5.12200E-01, 5.17400E-01, 5.22700E-01, 5.28000E-01, 5.33300E-01, 5.38600E-01]) # W/m-K
-    mu_dyn  = np.array([4.97400E-02, 3.53200E-02, 2.57000E-02, 1.91400E-02, 1.45700E-02, 1.13300E-02, 8.99200E-03, 7.27000E-03, 5.98200E-03, 5.00500E-03, 4.25200E-03, 3.66500E-03, 3.20000E-03, 2.82800E-03, 2.52700E-03, 2.28000E-03, 2.07500E-03, 1.90300E-03, 1.75600E-03, 1.62900E-03, 1.51800E-03, 1.41800E-03, 1.32800E-03, 1.24400E-03, 1.16500E-03, 1.08900E-03, 1.01600E-03]) # Pa-s
-    psat    = np.zeros(T.shape) # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= Tmax 
-    Name    = "ZS45" 
-    Desc    = "Zitrec S -45"
-
-
-class ZS55(LiquidData):
-    """ 
-    Heat transfer fluid Zitrec S -55 by Arteco
-    Source: SecCool Software
-    """ 
-    T       = np.array([2.20000E+02, 2.25000E+02, 2.30000E+02, 2.35000E+02, 2.40000E+02, 2.45000E+02, 2.50000E+02, 2.55000E+02, 2.60000E+02, 2.65000E+02, 2.70000E+02, 2.75000E+02, 2.80000E+02, 2.85000E+02, 2.90000E+02, 2.95000E+02, 3.00000E+02, 3.05000E+02, 3.10000E+02, 3.15000E+02, 3.20000E+02, 3.25000E+02, 3.30000E+02, 3.35000E+02, 3.40000E+02, 3.45000E+02, 3.50000E+02, 3.55000E+02, 3.60000E+02]) # Kelvin
-    rho     = np.array([1.35580E+03, 1.35280E+03, 1.34980E+03, 1.34680E+03, 1.34380E+03, 1.34070E+03, 1.33770E+03, 1.33470E+03, 1.33170E+03, 1.32870E+03, 1.32560E+03, 1.32260E+03, 1.31960E+03, 1.31660E+03, 1.31350E+03, 1.31050E+03, 1.30750E+03, 1.30450E+03, 1.30150E+03, 1.29840E+03, 1.29540E+03, 1.29240E+03, 1.28940E+03, 1.28630E+03, 1.28330E+03, 1.28030E+03, 1.27730E+03, 1.27430E+03, 1.27120E+03]) # kg/m3
-    c_p     = np.array([2.43970E+03, 2.44650E+03, 2.45350E+03, 2.46070E+03, 2.46810E+03, 2.47580E+03, 2.48380E+03, 2.49190E+03, 2.50030E+03, 2.50900E+03, 2.51780E+03, 2.52700E+03, 2.53630E+03, 2.54590E+03, 2.55570E+03, 2.56580E+03, 2.57610E+03, 2.58660E+03, 2.59740E+03, 2.60840E+03, 2.61970E+03, 2.63120E+03, 2.64290E+03, 2.65480E+03, 2.66700E+03, 2.67950E+03, 2.69210E+03, 2.70500E+03, 2.71820E+03]) # J/kg-K
-    lam     = np.array([3.93100E-01, 3.97000E-01, 4.01000E-01, 4.05100E-01, 4.09100E-01, 4.13200E-01, 4.17300E-01, 4.21400E-01, 4.25600E-01, 4.29700E-01, 4.33900E-01, 4.38200E-01, 4.42400E-01, 4.46700E-01, 4.51000E-01, 4.55400E-01, 4.59700E-01, 4.64100E-01, 4.68500E-01, 4.73000E-01, 4.77500E-01, 4.82000E-01, 4.86500E-01, 4.91000E-01, 4.95600E-01, 5.00200E-01, 5.04800E-01, 5.09500E-01, 5.14200E-01]) # W/m-K
-    mu_dyn  = np.array([1.44300E-01, 9.52000E-02, 6.46500E-02, 4.51300E-02, 3.23400E-02, 2.37700E-02, 1.78900E-02, 1.37800E-02, 1.08400E-02, 8.69800E-03, 7.11600E-03, 5.92500E-03, 5.01500E-03, 4.31100E-03, 3.75700E-03, 3.31700E-03, 2.96200E-03, 2.67300E-03, 2.43300E-03, 2.23300E-03, 2.06300E-03, 1.91500E-03, 1.78600E-03, 1.67000E-03, 1.56500E-03, 1.46600E-03, 1.37300E-03, 1.28300E-03, 1.19400E-03]) # Pa-s
-    psat    = np.zeros(T.shape) # Pa 
-    Tmin    = np.min(T)
-    Tmax    = np.max(T)
-    TminPsat= Tmax 
-    Name    = "ZS55" 
-    Desc    = "Zitrec S -55"
-
-	
-#class SylthermXLT(LiquidData):
-#    """ 
-#    Heat transfer fluid Syltherm XLT by Dow Chemicals
-#    Source: Dow Chemicals data sheet
-#    """    
-#    T       = np.array([-1.00000E+2, -9.50000E+1, -9.00000E+1, -8.50000E+1, -8.00000E+1, -7.50000E+1, -7.00000E+1, -6.50000E+1, -6.00000E+1, -5.50000E+1, -5.00000E+1, -4.50000E+1, -4.00000E+1, -3.50000E+1, -3.00000E+1, -2.50000E+1, -2.00000E+1, -1.50000E+1, -1.00000E+1, -5.00000E+0, +0.00000E+0, +5.00000E+0, +1.00000E+1, +1.50000E+1, +2.00000E+1, +2.50000E+1, +3.00000E+1, +3.50000E+1, +4.00000E+1, +4.50000E+1, +5.00000E+1, +5.50000E+1, +6.00000E+1, +6.50000E+1, +7.00000E+1, +7.50000E+1, +8.00000E+1, +8.50000E+1, +9.00000E+1, +9.50000E+1, +1.00000E+2, +1.05000E+2, +1.10000E+2, +1.15000E+2, +1.20000E+2, +1.25000E+2, +1.30000E+2, +1.35000E+2, +1.40000E+2, +1.45000E+2, +1.50000E+2, +1.55000E+2, +1.60000E+2, +1.65000E+2, +1.70000E+2, +1.75000E+2, +1.80000E+2, +1.85000E+2, +1.90000E+2, +1.95000E+2, +2.00000E+2, +2.05000E+2, +2.10000E+2, +2.15000E+2, +2.20000E+2, +2.25000E+2, +2.30000E+2, +2.35000E+2, +2.40000E+2, +2.45000E+2, +2.50000E+2, +2.55000E+2, +2.60000E+2])+273.15  # Kelvin
-#    rho     = np.array([+9.78500E+2, +9.73400E+2, +9.68300E+2, +9.63100E+2, +9.58000E+2, +9.52900E+2, +9.47700E+2, +9.42600E+2, +9.37500E+2, +9.32300E+2, +9.27200E+2, +9.22000E+2, +9.16900E+2, +9.11800E+2, +9.06600E+2, +9.01500E+2, +8.96400E+2, +8.91200E+2, +8.86100E+2, +8.81000E+2, +8.75800E+2, +8.70700E+2, +8.65500E+2, +8.60400E+2, +8.55300E+2, +8.50100E+2, +8.45000E+2, +8.39900E+2, +8.34700E+2, +8.29600E+2, +8.24500E+2, +8.19300E+2, +8.14200E+2, +8.09100E+2, +8.03900E+2, +7.98800E+2, +7.93600E+2, +7.88500E+2, +7.83400E+2, +7.78200E+2, +7.73100E+2, +7.68000E+2, +7.62800E+2, +7.57700E+2, +7.52600E+2, +7.47400E+2, +7.42300E+2, +7.37200E+2, +7.32000E+2, +7.26900E+2, +7.21700E+2, +7.16600E+2, +7.11500E+2, +7.06300E+2, +7.01200E+2, +6.96100E+2, +6.90900E+2, +6.85800E+2, +6.80700E+2, +6.75500E+2, +6.70400E+2, +6.65300E+2, +6.60100E+2, +6.55000E+2, +6.49800E+2, +6.44700E+2, +6.39600E+2, +6.34400E+2, +6.29300E+2, +6.24200E+2, +6.19000E+2, +6.13900E+2, +6.08800E+2])         # kg/m3
-#    c_p     = np.array([+1.52000E+0, +1.53000E+0, +1.54100E+0, +1.55100E+0, +1.56200E+0, +1.57200E+0, +1.58300E+0, +1.59300E+0, +1.60400E+0, +1.61400E+0, +1.62500E+0, +1.63500E+0, +1.64600E+0, +1.65600E+0, +1.66700E+0, +1.67700E+0, +1.68800E+0, +1.69800E+0, +1.70900E+0, +1.71900E+0, +1.73000E+0, +1.74000E+0, +1.75100E+0, +1.76100E+0, +1.77200E+0, +1.78200E+0, +1.79300E+0, +1.80300E+0, +1.81400E+0, +1.82400E+0, +1.83500E+0, +1.84500E+0, +1.85600E+0, +1.86600E+0, +1.87700E+0, +1.88700E+0, +1.89800E+0, +1.90800E+0, +1.91900E+0, +1.92900E+0, +1.94000E+0, +1.95000E+0, +1.96100E+0, +1.97100E+0, +1.98200E+0, +1.99200E+0, +2.00300E+0, +2.01300E+0, +2.02400E+0, +2.03400E+0, +2.04500E+0, +2.05500E+0, +2.06600E+0, +2.07600E+0, +2.08700E+0, +2.09700E+0, +2.10800E+0, +2.11800E+0, +2.12900E+0, +2.13900E+0, +2.15000E+0, +2.16000E+0, +2.17100E+0, +2.18100E+0, +2.19200E+0, +2.20200E+0, +2.21300E+0, +2.22300E+0, +2.23400E+0, +2.24400E+0, +2.25500E+0, +2.26500E+0, +2.27600E+0])*1e3     # J/kg-K
-#    lam     = np.array([+1.34100E-1, +1.33200E-1, +1.32400E-1, +1.31500E-1, +1.30600E-1, +1.29700E-1, +1.28800E-1, +1.27900E-1, +1.26900E-1, +1.26000E-1, +1.25000E-1, +1.24100E-1, +1.23100E-1, +1.22100E-1, +1.21100E-1, +1.20100E-1, +1.19100E-1, +1.18100E-1, +1.17100E-1, +1.16100E-1, +1.15000E-1, +1.14000E-1, +1.12900E-1, +1.11900E-1, +1.10800E-1, +1.09700E-1, +1.08600E-1, +1.07500E-1, +1.06400E-1, +1.05300E-1, +1.04200E-1, +1.03000E-1, +1.01900E-1, +1.00800E-1, +9.96000E-2, +9.84400E-2, +9.72800E-2, +9.61000E-2, +9.49200E-2, +9.37300E-2, +9.25300E-2, +9.13300E-2, +9.01200E-2, +8.89100E-2, +8.76800E-2, +8.64500E-2, +8.52200E-2, +8.39800E-2, +8.27300E-2, +8.14700E-2, +8.02100E-2, +7.89500E-2, +7.76700E-2, +7.64000E-2, +7.51100E-2, +7.38200E-2, +7.25300E-2, +7.12300E-2, +6.99200E-2, +6.86100E-2, +6.72900E-2, +6.59700E-2, +6.46500E-2, +6.33100E-2, +6.19800E-2, +6.06400E-2, +5.92900E-2, +5.79400E-2, +5.65800E-2, +5.52300E-2, +5.38600E-2, +5.24900E-2, +5.11200E-2])         # W/m-K
-#    mu_dyn  = np.array([+7.86100E+1, +5.01300E+1, +3.48600E+1, +2.58300E+1, +2.00400E+1, +1.60800E+1, +1.32200E+1, +1.10500E+1, +9.35600E+0, +7.99400E+0, +6.87900E+0, +5.95600E+0, +5.18400E+0, +4.53500E+0, +3.98600E+0, +3.52100E+0, +3.12600E+0, +2.78800E+0, +2.49900E+0, +2.25000E+0, +2.03500E+0, +1.84900E+0, +1.68700E+0, +1.54500E+0, +1.41900E+0, +1.30900E+0, +1.21000E+0, +1.12200E+0, +1.04300E+0, +9.72000E-1, +9.08000E-1, +8.49000E-1, +7.96000E-1, +7.48000E-1, +7.05000E-1, +6.65000E-1, +6.28000E-1, +5.95000E-1, +5.64000E-1, +5.36000E-1, +5.11000E-1, +4.87000E-1, +4.65000E-1, +4.45000E-1, +4.26000E-1, +4.09000E-1, +3.93000E-1, +3.77000E-1, +3.63000E-1, +3.50000E-1, +3.37000E-1, +3.25000E-1, +3.14000E-1, +3.03000E-1, +2.93000E-1, +2.84000E-1, +2.75000E-1, +2.66000E-1, +2.58000E-1, +2.51000E-1, +2.44000E-1, +2.38000E-1, +2.32000E-1, +2.26000E-1, +2.20000E-1, +2.15000E-1, +2.09000E-1, +2.04000E-1, +1.99000E-1, +1.94000E-1, +1.89000E-1, +1.85000E-1, +1.82000E-1])/1000.   # Pa-s
-#    psat    = np.array([+0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0])*1e5     # Pa 
-#    Tmin    = np.min(T)
-#    Tmax    = np.max(T)
-#    TminPsat= Tmax 
-#    Name    = "XLT" 
-#    Desc    = "SylthermXLT"
-
-    
-# output 
-#dataObj = Therminol72()
-#for i in range(len(dataObj.T)):
-#    print str(dataObj.T[i])+", "+str(np.log(dataObj.mu_dyn[i]))
-  
-class IncompressibleData(object):
-    def __init__(self):
-        self.INCOMPRESSIBLE_NOT_SET       = 'notdefined'
-        self.INCOMPRESSIBLE_POLYNOMIAL    = 'polynomial'
-        self.INCOMPRESSIBLE_EXPONENTIAL   = 'exponential'
-        self.INCOMPRESSIBLE_EXPPOLYNOMIAL = 'exppolynomial'
-        self.INCOMPRESSIBLE_EXPOFFSET     = 'expoffset'
-        self.INCOMPRESSIBLE_POLYOFFSET    = 'polyoffset'
-        self.INCOMPRESSIBLE_CHEBYSHEV     = 'chebyshev'
-        self.type   = self.INCOMPRESSIBLE_NOT_SET
-        self.coeffs = None #np.zeros((4,4))
-        self.data   = None #np.zeros((10,10))
-        
-    def fit(self, T, x=0.0, Tbase=0.0, xbase=0.0):
-        (cr,cc) = self.coeffs.shape
-        (dr,dc) = self.data.shape
-        (Tr,Tc) = (len(T),1) #T.shape #(len(T),1)
-        if (Tc!=1): raise ValueError("Temperature has to be a 2D array with one column.")
-        if (Tr!=dr): raise ValueError("Temperature and fitting data have to have the same number of rows.")
-        
-        if self.type==self.INCOMPRESSIBLE_POLYNOMIAL or self.type==self.INCOMPRESSIBLE_EXPPOLYNOMIAL:
-            if (np.max(x)<1e-10): # x not given
-                x = np.array([0.0])
-                #if (cc==1): # requires 1D coefficients
-                if (dc==1):
-                    if self.type==self.INCOMPRESSIBLE_POLYNOMIAL:
-                        self.coeffs = self.getCoeffs2d(T-Tbase, x-xbase, self.data, cr-1, 0)
-                    elif self.type==self.INCOMPRESSIBLE_EXPPOLYNOMIAL:
-                        self.coeffs = self.getCoeffs2d(T-Tbase, x-xbase, np.log(self.data), cr-1, 0)
-                    else:  raise ValueError("Unknown function.")
-                else:
-                    raise ValueError("Cannot use 2D data with 1D references")
-                #else:
-                #    raise ValueError("Cannot use 2D coefficients without concentration input")
-            else: # Assume 2D input
-                (xr,xc) = (1,len(x))#x.shape#(1,len(x))
-                if (xr!=1): raise ValueError("Concentration has to be a 2D array with one row.")
-                if (xc!=dc): raise ValueError("Concentration and fitting data have to have the same number of columns.")
-                if self.type==self.INCOMPRESSIBLE_POLYNOMIAL:
-                    self.coeffs = self.getCoeffs2d(T-Tbase, x-xbase, self.data, cr-1, cc-1)
-                elif self.type==self.INCOMPRESSIBLE_EXPPOLYNOMIAL:
-                    self.coeffs = self.getCoeffs2d(T-Tbase, x-xbase, np.log(self.data), cr-1, cc-1)
-                else:  raise ValueError("Unknown function.")
-                #print self.coeffs
-        else:
-            raise ValueError("Cannot fit that function.")
-        
-
-    def getCoeffs1d(self, x, z, order):
-        if (len(x)<order+1): 
-            raise ValueError("You have only {0} elements and try to fit {1} coefficients, please reduce the order.".format(len(x),order+1))
-        A = np.vander(x,order+1)[:,::-1]
-        #Anew = np.dot(A.T,A)
-        #znew = np.dot(A.T,z)
-        #coeffs = np.linalg.solve(Anew, znew)
-        coeffs, resids, rank, singulars  = np.linalg.lstsq(A, z)
-        return np.reshape(coeffs, (len(x),1))
-            
-
-    def getCoeffs2d(self, x_in, y_in, z_in, x_order, y_order):
-        x_order += 1
-        y_order += 1
-        #To avoid overfitting, we only use the upper left triangle of the coefficient matrix
-        x_exp = range(x_order)
-        y_exp = range(y_order)
-        limit = max(x_order,y_order)
-        xy_exp = []
-        # Construct the upper left triangle of coefficients    
-        for i in x_exp:
-            for j in y_exp:
-                if(i+j<limit): xy_exp.append((i,j))
-        
-        # Construct input pairs   
-        xx, yy = np.meshgrid(x_in,y_in,indexing='ij')
-        xx = np.array(xx.flat)
-        yy = np.array(yy.flat)
-        zz = np.array(z_in.flat)
-        
-        # TODO: Check for rows with only nan values
-        x_num = len(x_in)
-        y_num = len(y_in)      
-                    
-        cols = len(xy_exp)
-        eqns = x_num * y_num
-        #if (eqns<cols):
-        #    raise ValueError("You have only {0} equations and try to fit {1} coefficients, please reduce the order.".format(eqns,cols))   
-        if (x_num<x_order):
-            raise ValueError("You have only {0} x-entries and try to fit {1} x-coefficients, please reduce the x_order.".format(x_num,x_order))
-        if (y_num<y_order):
-            raise ValueError("You have only {0} y-entries and try to fit {1} y-coefficients, please reduce the y_order.".format(y_num,y_order))
-        
-        # Build the functional matrix
-        A = np.zeros((eqns,cols))
-        for i in range(eqns): # row loop
-            for j, (xj,yj) in enumerate(xy_exp): # makes columns
-                A[i][j] = xx[i]**xj * yy[i]**yj
-        
-        # Remove np.nan elements
-        mask = np.isfinite(zz)
-        A = A[mask]
-        zz = zz[mask]
-        
-        if (len(A) < cols):
-            raise ValueError("Your matrix has only {0} valid rows and you try to fit {1} coefficients, please reduce the order.".format(len(A),cols))
-        
-        coeffs, resids, rank, singulars  = np.linalg.lstsq(A, zz)
-        #print resids
-        
-        #Rearrange coefficients to a matrix shape
-        C = np.zeros((x_order,y_order))
-        for i, (xi,yi) in enumerate(xy_exp): # makes columns
-            C[xi][yi] = coeffs[i]
-            
-        return C
-        
-        
-    def toJSON(self):
-        j = {}
-        try:
-            j['coeffs'] = self.coeffs.tolist()
-        except:
-            j['coeffs'] = 'null'
-            
-        j['type']   = self.type
-        return j
-    
-    
-    
-    
-class SolutionData(object):
-    """ 
-    A base class that defines all the variables needed 
-    in order to make a proper fit. You can copy this code
-    put in your data and add some documentation for where the
-    information came from. 
-    """
-    def __init__(self):
-        self.name        = None # Name of the current fluid
-        self.description = None # Description of the current fluid
-        self.reference   = None # Reference data for the current fluid
-        
-        self.Tmax        = None # Maximum temperature in K
-        self.Tmin        = None # Minimum temperature in K
-        self.xmax        = 1.0 # Maximum concentration
-        self.xmin        = 0.0 # Minimum concentration
-        self.TminPsat    = None # Minimum saturation temperature in K
-        self.Tbase       = 0.0  # Base value for temperature fits
-        self.xbase       = 0.0  # Base value for concentration fits
-    
-        self.temperature   = IncompressibleData() # Temperature for data points in K
-        self.concentration = IncompressibleData() # Concentration data points in weight fraction
-        self.density       = IncompressibleData() # Density in kg/m3
-        self.specific_heat = IncompressibleData() # Heat capacity in J/(kg.K)
-        self.viscosity     = IncompressibleData() # Dynamic viscosity in Pa.s
-        self.conductivity  = IncompressibleData() # Thermal conductivity in W/(m.K)
-        self.saturation_pressure = IncompressibleData() # Saturation pressure in Pa
-        self.T_freeze      = IncompressibleData() # Freezing temperature in K
-        self.volume2mass   = IncompressibleData() # dd
-        self.mass2mole     = IncompressibleData() # dd
-        
-        self.xref = None
-        self.Tref = None
-        self.pref = None
-        self.href = None
-        self.sref = None
-        self.uref = None
-        self.rhoref = None
-        
-    
-    def rho (self, T, p, x=0.0, c=None):
-        if c==None: return np.polynomial.polynomial.polyval2d(T-self.Tbase, x-self.xbase, self.density.coeffs)
-        else: return np.polynomial.polynomial.polyval2d(T-self.Tbase, x-self.xbase, c)
-    
-    def c   (self, T, p, x=0.0, c=None):
-        if c==None: return np.polynomial.polynomial.polyval2d(T-self.Tbase, x-self.xbase, self.specific_heat.coeffs)
-        else: return np.polynomial.polynomial.polyval2d(T-self.Tbase, x-self.xbase, c)
-    
-    def cp  (self, T, p, x=0.0, c=None):
-        return self.c(T,p,x,c)
-    
-    def cv  (self, T, p, x=0.0, c=None):
-        return self.c(T,p,x,c)
-    
-    #def s   (T, p, x);
-    #def u   (T, p, x);
-    
-    def h   (self, T, p, x=0.0):
-        return h_u(T,p,x)
-    
-    #def visc(T, p, x=0.0){return baseFunction(viscosity, T, x);};
-    #def cond(T, p, x=0.0){return baseFunction(conductivity, T, x);};
-    #def psat(T,           x=0.0){return baseFunction(p_sat, T, x);};
-    #def Tfreeze(       p, x);
-    #def V2M (T,           y);
-    #def M2M (T,           x);
-    
-    
-    def h_u(self, T, p, x):
-        return u(T,p,x)+p/rho(T,p,x)-self.href
-
-    def u_h(self, T, p, x):
-        return h(T,p,x)-p/rho(T,p,x)+self.href
-    
-    def set_reference_state(self, T0, p0, x0=0.0, h0=0.0, s0=0.0):
-        self.rhoref = rho(T0,p0,x0)
-        self.pref = p0
-        self.uref = h0 - p0/rhoref
-        self.uref = u(T0,p0,x0)
-        self.href = h0
-        self.sref = s0
-        self.href = h(T0,p0,x0)
-        self.sref = s(T0,p0,x0)
-        
-        
-        
-class CoefficientData(SolutionData):
-    """ 
-    A class to convert parameter arrays from different other sources
-    """ 
-    def __init__(self):
-        SolutionData.__init__(self) 
-        self.reference = "Some other software"
-        
-    def convertSecCoolArray(self, array):
-        if len(array)!=18:
-            raise ValueError("The lenght is not equal to 18!")
-        
-        self.reference = "SecCool software"
-        array = np.array(array)        
-        tmp = np.zeros((4,6))
-        
-        tmp[0][0] = array[0]
-        tmp[0][1] = array[1]
-        tmp[0][2] = array[2]
-        tmp[0][3] = array[3]
-        tmp[0][4] = array[4]
-        tmp[0][5] = array[5]
-        
-        tmp[1][0] = array[6]
-        tmp[1][1] = array[7]
-        tmp[1][2] = array[8]
-        tmp[1][3] = array[9]
-        tmp[1][4] = array[10]
-        #tmp[1][5] = array[11]
-        
-        tmp[2][0] = array[11]
-        tmp[2][1] = array[12]
-        tmp[2][2] = array[13]
-        tmp[2][3] = array[14]
-        #tmp[2][4] = array[4]
-        #tmp[2][5] = array[5]
-        
-        tmp[3][0] = array[15]
-        tmp[3][1] = array[16]
-        tmp[3][2] = array[17]
-        #tmp[3][3] = array[3]
-        #tmp[3][4] = array[4]
-        #tmp[3][5] = array[5]
-        
-        # Concentration is no longer handled in per cent!
-        for i in range(6):
-            tmp.T[i] *= 100.0**i 
-                
-        return tmp
-
-
-    def convertMelinderArray(self, array):
-        """The same function as the SecCool converter, 
-        the original source code is slightly different though.
-        That is why the implementation is in a transposed form..."""
-        
-        if len(array)!=18:
-            raise ValueError("The lenght is not equal to 18!")
-        
-        self.reference = "Melinder Book"
-        array = np.array(array)        
-        tmp = np.zeros((6,4))
-        
-        tmp[0][0] = array[0] 
-        tmp[0][1] = array[6] 
-        tmp[0][2] = array[11]
-        tmp[0][3] = array[15]
-        
-        tmp[1][0] = array[1] 
-        tmp[1][1] = array[7] 
-        tmp[1][2] = array[12]
-        tmp[1][3] = array[16]
-        
-        tmp[2][0] = array[2] 
-        tmp[2][1] = array[8] 
-        tmp[2][2] = array[13]
-        tmp[2][3] = array[17]
-        
-        tmp[3][0] = array[3] 
-        tmp[3][1] = array[9] 
-        tmp[3][2] = array[14]
-        
-        tmp[4][0] = array[4] 
-        tmp[4][1] = array[10]
-        
-        tmp[5][0] = array[5] 
-        
-        # Concentration is no longer handled in per cent!
-        for i in range(6):
-            tmp[i] *= 100.0**i 
-                
-        return tmp.T
-    
-    def convertMelinderMatrix(self, array):
-        """Function to convert the full coefficient array
-        from the very first CoolProp implementation
-        based on the book by Melinder"""
-        if len(array)!=18:
-            raise ValueError("The lenght is not equal to 18!")
-        if len(array[0])!=5:
-            raise ValueError("The lenght is not equal to 5!")
-        array = np.array(array)
-        tmp = np.zeros((18,5))
-        
-        for j in range(5):
-            tmp[ 0][j] = array[ 0][j]
-            tmp[ 1][j] = array[ 4][j]
-            tmp[ 2][j] = array[ 8][j]
-            tmp[ 3][j] = array[12][j]
-            tmp[ 4][j] = array[15][j]
-            tmp[ 5][j] = array[17][j]
-            tmp[ 6][j] = array[ 1][j]
-            tmp[ 7][j] = array[ 5][j]
-            tmp[ 8][j] = array[ 9][j]
-            tmp[ 9][j] = array[13][j]
-            tmp[10][j] = array[16][j]
-            tmp[11][j] = array[ 2][j]
-            tmp[12][j] = array[ 6][j]
-            tmp[13][j] = array[10][j]
-            tmp[14][j] = array[14][j]
-            tmp[15][j] = array[ 3][j]
-            tmp[16][j] = array[ 7][j]
-            tmp[17][j] = array[11][j]
-            
-        return tmp
-        
-        
-
-
-class SecCoolExample(CoefficientData):
-    """ 
-    Ethanol-Water mixture according to Melinder book
-    Source: SecCool Software
-    """ 
-    def __init__(self):
-        CoefficientData.__init__(self) 
-        self.name = "ExampleSecCool"
-        self.description = "Methanol solution"
-        #self.reference = "SecCool software"
-        self.Tmax =  20 + 273.15
-        self.Tmin = -50 + 273.15
-        self.xmax = 0.5
-        self.xmin = 0.0
-        self.TminPsat =  20 + 273.15
-    
-        self.Tbase =  -4.48 + 273.15
-        self.xbase =  31.57 / 100.0
-       
-        self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
-        self.density.coeffs = self.convertSecCoolArray(np.array([
-           960.24665800, 
-          -1.2903839100, 
-          -0.0161042520, 
-          -0.0001969888, 
-           1.131559E-05, 
-           9.181999E-08,
-          -0.4020348270,
-          -0.0162463989,
-           0.0001623301,
-           4.367343E-06,
-           1.199000E-08,
-          -0.0025204776,
-           0.0001101514,
-          -2.320217E-07,
-           7.794999E-08,
-           9.937483E-06, 
-          -1.346886E-06,
-           4.141999E-08]))
-        
-        
-        
-        self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
-        self.specific_heat.coeffs = self.convertSecCoolArray(np.array([
-           3822.9712300,
-          -23.122409500,
-           0.0678775826,
-           0.0022413893,
-          -0.0003045332,
-          -4.758000E-06, 
-           2.3501449500, 
-           0.1788839410, 
-           0.0006828000, 
-           0.0002101166, 
-          -9.812000E-06, 
-          -0.0004724176, 
-          -0.0003317949, 
-           0.0001002032, 
-          -5.306000E-06, 
-           4.242194E-05, 
-           2.347190E-05, 
-          -1.894000E-06]))
-
-        self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
-        self.conductivity.coeffs = self.convertSecCoolArray(np.array([
-           0.4082066700, 
-          -0.0039816870, 
-           1.583368E-05, 
-          -3.552049E-07, 
-          -9.884176E-10, 
-           4.460000E-10, 
-           0.0006629321, 
-          -2.686475E-05, 
-           9.039150E-07, 
-          -2.128257E-08, 
-          -5.562000E-10, 
-           3.685975E-07, 
-           7.188416E-08, 
-          -1.041773E-08, 
-           2.278001E-10, 
-           4.703395E-08, 
-           7.612361E-11, 
-          -2.734000E-10]))
-
-        self.viscosity.type = self.viscosity.INCOMPRESSIBLE_POLYNOMIAL
-        self.viscosity.coeffs = self.convertSecCoolArray(np.array([
-           1.4725525500, 
-           0.0022218998, 
-          -0.0004406139, 
-           6.047984E-06, 
-          -1.954730E-07, 
-          -2.372000E-09, 
-          -0.0411841566, 
-           0.0001784479, 
-          -3.564413E-06, 
-           4.064671E-08, 
-           1.915000E-08, 
-           0.0002572862, 
-          -9.226343E-07, 
-          -2.178577E-08, 
-          -9.529999E-10, 
-          -1.699844E-06, 
-          -1.023552E-07, 
-           4.482000E-09]))
-
-        self.T_freeze.type = self.T_freeze.INCOMPRESSIBLE_POLYOFFSET
-        self.T_freeze.coeffs = np.array([[
-           27.755555600/100.0,
-          -22.973221700, 
-          -1.1040507200*100.0, 
-          -0.0120762281*100.0*100.0, 
-          -9.343458E-05*100.0*100.0*100.0]])  
-        
-        
-class MelinderExample(CoefficientData):
-    """ 
-    Methanol-Water mixture according to Melinder book
-    Source: Book
-    """ 
-    def __init__(self):
-        CoefficientData.__init__(self) 
-        self.name = "ExampleMelinder"
-        self.description = "Methanol solution"
-        self.reference = "Melinder-BOOK-2010"
-        self.Tmax =  40 + 273.15
-        self.Tmin = -50 + 273.15
-        self.xmax = 0.6
-        self.xmin = 0.0
-        self.TminPsat =  self.Tmax
-    
-        self.Tbase =   3.5359 + 273.15;
-        self.xbase =  30.5128 / 100.0
-       
-        coeffs = np.array([
-        [-26.29           , 958.1           ,3887           ,   0.4175            ,   1.153           ],
-        [ -0.000002575    ,  -0.4151        ,   7.201       ,   0.0007271         ,  -0.03866         ],
-        [ -0.000006732    ,  -0.002261      ,  -0.08979     ,   0.0000002823      ,   0.0002779       ],
-        [  0.000000163    ,   0.0000002998  ,  -0.000439    ,   0.000000009718    ,  -0.000001543     ],
-        [ -1.187          ,  -1.391         , -18.5         ,  -0.004421          ,   0.005448        ],
-        [ -0.00001609     ,  -0.0151        ,   0.2984      ,  -0.00002952        ,   0.0001008       ],
-        [  0.000000342    ,   0.0001113     ,  -0.001865    ,   0.00000007336     ,  -0.000002809     ],
-        [  0.0000000005687,  -0.0000003264  ,  -0.00001718  ,   0.0000000004328   ,   0.000000009811  ],
-        [ -0.01218        ,  -0.01105       ,  -0.03769     ,   0.00002044        ,  -0.0005552       ],
-        [  0.0000003865   ,   0.0001828     ,  -0.01196     ,   0.0000003413      ,   0.000008384     ],
-        [  0.000000008768 ,  -0.000001641   ,   0.00009801  ,  -0.000000003665    ,  -0.00000003997   ],
-        [ -0.0000000002095,   0.0000000151  ,   0.000000666 ,  -0.00000000002791  ,  -0.0000000003466 ],
-        [ -0.00006823     ,  -0.0001208     ,  -0.003776    ,   0.0000002943      ,   0.000003038     ],
-        [  0.00000002137  ,   0.000002992   ,  -0.00005611  ,  -0.0000000009646   ,  -0.00000007435   ],
-        [ -0.0000000004271,   0.000000001455,  -0.0000007811,   0.00000000003174  ,   0.0000000007442 ],
-        [  0.0000001297   ,   0.000004927   ,  -0.0001504   ,  -0.0000000008666   ,   0.00000006669   ],
-        [ -0.0000000005407,  -0.0000001325  ,   0.000007373 ,  -0.0000000000004573,  -0.0000000009105 ],
-        [  0.00000002363  ,  -0.00000007727 ,   0.000006433 ,  -0.0000000002033   ,  -0.0000000008472 ]
-        ])
-        
-        coeffs = self.convertMelinderMatrix(coeffs).T
-        
-        self.T_freeze.type = self.T_freeze.INCOMPRESSIBLE_POLYNOMIAL
-        self.T_freeze.coeffs = self.convertMelinderArray(coeffs[0])
-        
-        self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
-        self.density.coeffs = self.convertMelinderArray(coeffs[1])
-        
-        self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
-        self.specific_heat.coeffs = self.convertMelinderArray(coeffs[2])
-        
-        self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
-        self.conductivity.coeffs = self.convertMelinderArray(coeffs[3])
-        
-        self.viscosity.type = self.viscosity.INCOMPRESSIBLE_POLYNOMIAL
-        self.viscosity.coeffs = self.convertMelinderArray(coeffs[4])
-        
-        
-        
-        
-        
-        
-        
-        
-        
-        
-        
-        
-        
-        
-        
-        
-        
-        
-        
-        
-        
-        
-class PureExample(SolutionData):
-    def __init__(self):
-        SolutionData.__init__(self) 
-        self.name = "ExamplePure"
-        self.description = "Heat transfer fluid TherminolD12 by Solutia"
-        self.reference = "Solutia data sheet"
-        self.Tmax = 150 + 273.15
-        self.Tmin =  50 + 273.15
-        self.TminPsat =  self.Tmax
-        
-        self.temperature.data         = np.array([    50 ,     60 ,     70 ,     80 ,     90 ,    100 ,    110 ,    120 ,    130 ,    140 ,    150 ])+273.15 # Kelvin
-        self.density.data             = np.array([[  740],[   733],[   726],[   717],[   710],[   702],[   695],[   687],[   679],[   670],[   662]])        # kg/m3
-        self.specific_heat.data       = np.array([[ 2235],[  2280],[  2326],[  2361],[  2406],[  2445],[  2485],[  2528],[  2571],[  2607],[  2645]])        # J/kg-K
-        self.viscosity.data           = np.array([[0.804],[ 0.704],[ 0.623],[ 0.556],[ 0.498],[ 0.451],[ 0.410],[ 0.374],[ 0.346],[ 0.317],[ 0.289]])        # Pa-s
-        self.conductivity.data        = np.array([[0.105],[ 0.104],[ 0.102],[ 0.100],[ 0.098],[ 0.096],[ 0.095],[ 0.093],[ 0.091],[ 0.089],[ 0.087]])        # W/m-K
-        self.saturation_pressure.data = np.array([[  0.5],[   0.9],[   1.4],[   2.3],[   3.9],[   6.0],[   8.7],[  12.4],[  17.6],[  24.4],[  33.2]])        # Pa
-
-
-class SolutionExample(SolutionData):
-    def __init__(self):
-        SolutionData.__init__(self) 
-        self.name = "ExampleSolution"
-        self.description = "Ethanol ice slurry"
-        self.reference = "SecCool software"
-        self.Tmax = -10 + 273.15
-        self.Tmin = -45 + 273.15
-        self.TminPsat =  self.Tmax
-        
-        self.temperature.data         = np.array([   -45 ,    -40 ,    -35 ,    -30 ,    -25 ,    -20 ,    -15 ,    -10])+273.15 # Kelvin
-        self.concentration.data       = np.array([     5 ,     10 ,     15 ,     20 ,     25 ,     30 ,     35 ])/100.0 # mass fraction
-        
-        self.density.data             = np.array([
-          [1064.0,    1054.6,    1045.3,    1036.3,    1027.4,    1018.6,    1010.0],
-          [1061.3,    1052.1,    1043.1,    1034.3,    1025.6,    1017.0,    1008.6],
-          [1057.6,    1048.8,    1040.1,    1031.5,    1023.1,    1014.8,    1006.7],
-          [1053.1,    1044.6,    1036.2,    1028.0,    1019.9,    1012.0,    1004.1],
-          [1047.5,    1039.4,    1031.5,    1023.7,    1016.0,    1008.4,    1000.9],
-          [1040.7,    1033.2,    1025.7,    1018.4,    1011.2,    1004.0,     997.0],
-          [1032.3,    1025.3,    1018.5,    1011.7,    1005.1,     998.5,     992.0],
-          [1021.5,    1015.3,    1009.2,    1003.1,     997.1,     991.2,     985.4]]) # kg/m3
-        
-#        self.density.data             = np.array([
-#          [np.nan,    np.nan,    np.nan,    np.nan,    np.nan,    np.nan,    np.nan],
-#          [np.nan,    np.nan,    np.nan,    np.nan,    np.nan,    np.nan,    np.nan],
-#          [np.nan,    np.nan,    np.nan,    np.nan,    np.nan,    np.nan,    np.nan],
-#          [np.nan,    np.nan,    np.nan,    np.nan,    np.nan,    np.nan,    np.nan],
-#          [np.nan,    np.nan,    np.nan,    np.nan,    1016.0,    1008.4,    np.nan],
-#          [np.nan,    1033.2,    np.nan,    np.nan,    np.nan,    np.nan,    np.nan],
-#          [np.nan,    1025.3,    1018.5,    np.nan,    np.nan,     998.5,     992.0],
-#          [np.nan,    np.nan,    1009.2,    np.nan,    np.nan,    np.nan,    np.nan]]) # kg/m3
-
diff --git a/dev/incompressible_liquids/PCL.json b/dev/incompressible_liquids/PCL.json
deleted file mode 100644
index f30dac08..00000000
--- a/dev/incompressible_liquids/PCL.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  3.43150e+02, 
-  "Tmax":  4.53150e+02, 
-  "Tmin":  2.33150e+02, 
-  "TminPsat":  4.53150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         1.43802e-01
-      ], 
-      [
-        -7.51021e-05
-      ], 
-      [
-        -4.30265e-10
-      ], 
-      [
-         8.72844e-11
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         7.42300e+02
-      ], 
-      [
-        -7.10000e-01
-      ], 
-      [
-         0.00000e+00
-      ], 
-      [
-         1.25037e-16
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Paracryol, Aliphatic Hydrocarbon", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "PCL", 
-  "reference": "Sulzer Chemtech AG, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         2.19068e+03
-      ], 
-      [
-         4.01216e+00
-      ], 
-      [
-         2.85148e-05
-      ], 
-      [
-        -1.95575e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -2.53530e+00
-      ], 
-      [
-        -1.19611e-02
-      ], 
-      [
-         5.81475e-05
-      ], 
-      [
-        -3.34519e-07
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  0.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/PK2.json b/dev/incompressible_liquids/PK2.json
deleted file mode 100644
index 4de15e24..00000000
--- a/dev/incompressible_liquids/PK2.json
+++ /dev/null
@@ -1,203 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.44601e+02
-      ], 
-      [
-        -7.31295e+01
-      ], 
-      [
-        -6.10860e+01
-      ], 
-      [
-        -8.71460e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.92150e+02, 
-  "Tmax":  3.73150e+02, 
-  "Tmin":  2.11150e+02, 
-  "TminPsat":  3.73150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.96893e-01, 
-        -1.46952e-01, 
-         4.16248e-02, 
-        -1.56870e-04, 
-        -3.09924e-03, 
-         8.61238e-04
-      ], 
-      [
-         9.18541e-04, 
-        -4.11932e-04, 
-         1.08986e-04, 
-        -8.42236e-05, 
-         1.72936e-04, 
-         0.00000e+00
-      ], 
-      [
-        -1.68737e-08, 
-         1.57893e-07, 
-        -7.35181e-07, 
-         1.22091e-06, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         4.65113e-10, 
-        -4.23164e-09, 
-         7.54048e-09, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.19742e+00, 
-         2.81732e-01, 
-        -4.58891e-02, 
-        -2.20987e-02, 
-         4.30391e-03, 
-         2.26570e-02
-      ], 
-      [
-        -4.51432e-04, 
-        -2.85887e-04, 
-         9.73605e-05, 
-         4.37222e-05, 
-        -1.45188e-04, 
-         0.00000e+00
-      ], 
-      [
-        -1.63988e-06, 
-         2.60959e-06, 
-        -8.00740e-07, 
-        -4.94898e-07, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         4.24384e-11, 
-        -5.21252e-10, 
-         8.92799e-10, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Pekasol 2000, Potassium acetate/formate", 
-  "mass2input": {
-    "coeffs": [
-      [
-         5.84467e-01, 
-         1.05545e+00, 
-         2.93268e-01, 
-         1.84189e-01, 
-         1.85756e-01, 
-        -6.45526e-02
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "PK2", 
-  "reference": "pro KUEHLSOLE GmbH, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.01282e+00, 
-        -1.15710e+00, 
-         5.68765e-01, 
-        -4.62148e-01, 
-         5.65020e-01, 
-         2.33933e-01
-      ], 
-      [
-         2.26568e-03, 
-        -4.30379e-04, 
-        -2.13179e-03, 
-         1.36210e-04, 
-        -2.59822e-03, 
-         0.00000e+00
-      ], 
-      [
-        -1.45919e-05, 
-         5.95269e-07, 
-         5.58840e-05, 
-        -1.09925e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         5.67758e-08, 
-         3.56536e-07, 
-        -5.84114e-07, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         8.37410e-01, 
-         1.51065e+00, 
-         9.69688e-02, 
-        -7.07562e-01, 
-         1.09469e+00, 
-         7.49477e-02
-      ], 
-      [
-        -2.41232e-02, 
-        -3.12930e-03, 
-        -1.14805e-02, 
-        -9.05143e-03, 
-         9.73570e-03, 
-         0.00000e+00
-      ], 
-      [
-         1.80659e-04, 
-         9.26083e-05, 
-         1.73529e-04, 
-        -3.41308e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -1.53759e-06, 
-        -1.60743e-06, 
-        -1.64853e-06, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  6.50000e-01, 
-  "xid": 2, 
-  "xmax":  1.00000e+00, 
-  "xmin":  3.00000e-01
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/PKL.json b/dev/incompressible_liquids/PKL.json
deleted file mode 100644
index f7f70654..00000000
--- a/dev/incompressible_liquids/PKL.json
+++ /dev/null
@@ -1,203 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.56591e+02
-      ], 
-      [
-        -9.51243e+01
-      ], 
-      [
-        -1.41259e+02
-      ], 
-      [
-         1.70940e+01
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.98650e+02, 
-  "Tmax":  3.73150e+02, 
-  "Tmin":  2.24150e+02, 
-  "TminPsat":  3.73150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.44809e-01, 
-        -4.83097e-01, 
-         2.94891e-01, 
-         1.60311e-02, 
-         1.32678e-02, 
-        -1.58025e-01
-      ], 
-      [
-         3.81744e-04, 
-        -2.57857e-03, 
-        -4.70796e-05, 
-         3.82599e-05, 
-        -2.32986e-04, 
-         0.00000e+00
-      ], 
-      [
-        -1.33437e-07, 
-         1.11111e-07, 
-         7.85357e-08, 
-        -2.39585e-06, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -5.03131e-10, 
-        -2.03410e-09, 
-         2.08002e-08, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.02994e+00, 
-         9.12489e-02, 
-        -7.38993e-02, 
-         1.24713e-03, 
-        -1.49566e-03, 
-        -5.16450e-02
-      ], 
-      [
-        -5.39777e-04, 
-        -9.21193e-04, 
-        -8.07529e-06, 
-        -1.05105e-04, 
-         5.16302e-04, 
-         0.00000e+00
-      ], 
-      [
-        -6.93627e-07, 
-        -1.07117e-07, 
-        -3.63797e-07, 
-         2.73055e-06, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -1.96639e-11, 
-        -4.50111e-10, 
-        -1.84811e-09, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Pekasol L, Propylene Glycol", 
-  "mass2input": {
-    "coeffs": [
-      [
-         3.29637e-01, 
-         9.68247e-01, 
-         1.48967e-01, 
-        -4.80386e-02, 
-        -2.55239e-01, 
-         2.77419e-01
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "PKL", 
-  "reference": "pro KUEHLSOLE GmbH, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.88116e+00, 
-        -1.68997e+00, 
-        -9.30836e-01, 
-        -1.50831e-02, 
-        -1.02475e-02, 
-         2.94924e-02
-      ], 
-      [
-         3.29474e-03, 
-         3.75820e-03, 
-        -5.51693e-04, 
-        -2.73398e-04, 
-         9.36416e-03, 
-         0.00000e+00
-      ], 
-      [
-         1.27093e-06, 
-         3.49614e-08, 
-        -1.35438e-06, 
-         5.04881e-06, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         1.02315e-09, 
-        -6.97342e-09, 
-         2.41415e-08, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         1.15995e+00, 
-         3.03292e+00, 
-        -2.15145e+00, 
-         9.33409e+00, 
-         1.26389e-01, 
-        -3.15502e+00
-      ], 
-      [
-        -3.30192e-02, 
-        -3.13647e-02, 
-        -3.44370e-02, 
-        -6.41897e-04, 
-        -1.65492e-03, 
-         0.00000e+00
-      ], 
-      [
-         3.14846e-04, 
-         3.38151e-04, 
-        -1.24317e-05, 
-         6.67009e-05, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -2.37926e-06, 
-        -1.91332e-08, 
-         1.89693e-08, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  3.50000e-01, 
-  "xid": 2, 
-  "xmax":  6.00000e-01, 
-  "xmin":  1.00000e-01
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/PMS1.json b/dev/incompressible_liquids/PMS1.json
deleted file mode 100644
index 92a89afd..00000000
--- a/dev/incompressible_liquids/PMS1.json
+++ /dev/null
@@ -1,80 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  0.00000e+00, 
-  "Tmax":  3.73150e+02, 
-  "Tmin":  1.93150e+02, 
-  "TminPsat":  3.73150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         2.07526e-04
-      ], 
-      [
-        -2.84167e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.17235e+03
-      ], 
-      [
-        -9.02500e-01
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Polydimethylsiloxan 1. - Baysilone KT3", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "PMS1", 
-  "reference": "Melinder-BOOK-2010", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         1.22369e+03
-      ], 
-      [
-         1.48417e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         6.36183e+00
-      ], 
-      [
-        -6.36352e-02
-      ], 
-      [
-         7.51428e-05
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/PMS2.json b/dev/incompressible_liquids/PMS2.json
deleted file mode 100644
index e805bdfa..00000000
--- a/dev/incompressible_liquids/PMS2.json
+++ /dev/null
@@ -1,80 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  0.00000e+00, 
-  "Tmax":  3.73150e+02, 
-  "Tmin":  1.93150e+02, 
-  "TminPsat":  3.73150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         1.72305e-04
-      ], 
-      [
-        -2.11212e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.15594e+03
-      ], 
-      [
-        -1.02576e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Polydimethylsiloxan 2. - Syltherm XLT Dow Corning Co.", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "PMS2", 
-  "reference": "Melinder-BOOK-2010", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         1.15355e+03
-      ], 
-      [
-         2.10788e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         5.66926e+00
-      ], 
-      [
-        -6.55820e-02
-      ], 
-      [
-         8.09988e-05
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/PNF.json b/dev/incompressible_liquids/PNF.json
deleted file mode 100644
index 002cfbab..00000000
--- a/dev/incompressible_liquids/PNF.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  4.28150e+02, 
-  "Tmax":  5.93150e+02, 
-  "Tmin":  2.63150e+02, 
-  "TminPsat":  5.93150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         9.74343e-02
-      ], 
-      [
-        -5.07671e-05
-      ], 
-      [
-         3.12739e-08
-      ], 
-      [
-        -3.78807e-12
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         7.97296e+02
-      ], 
-      [
-        -6.64728e-01
-      ], 
-      [
-        -1.01063e-04
-      ], 
-      [
-         5.77600e-08
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Paratherm NF, Hydrotreated mineral oil", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "PNF", 
-  "reference": "Paratherm Ltd, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         2.53143e+03
-      ], 
-      [
-         5.13638e+00
-      ], 
-      [
-         3.97886e-06
-      ], 
-      [
-         5.06695e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -6.85265e+00
-      ], 
-      [
-        -1.20170e-02
-      ], 
-      [
-         6.15699e-05
-      ], 
-      [
-        -4.56293e-07
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  0.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/SAB.json b/dev/incompressible_liquids/SAB.json
deleted file mode 100644
index 166ca468..00000000
--- a/dev/incompressible_liquids/SAB.json
+++ /dev/null
@@ -1,80 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  0.00000e+00, 
-  "Tmax":  3.73150e+02, 
-  "Tmin":  1.93150e+02, 
-  "TminPsat":  3.73150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         2.08374e-04
-      ], 
-      [
-        -2.61667e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.10234e+03
-      ], 
-      [
-        -8.01667e-01
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Synthetic alkyl benzene - Marlotherm X", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "SAB", 
-  "reference": "Melinder-BOOK-2010", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         1.36094e+03
-      ], 
-      [
-         1.51667e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         5.21288e+00
-      ], 
-      [
-        -6.65792e-02
-      ], 
-      [
-         8.50660e-05
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/T66.json b/dev/incompressible_liquids/T66.json
deleted file mode 100644
index 4db99dee..00000000
--- a/dev/incompressible_liquids/T66.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  4.63150e+02, 
-  "Tmax":  6.53150e+02, 
-  "Tmin":  2.73150e+02, 
-  "TminPsat":  3.43150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         1.06583e-01
-      ], 
-      [
-        -9.17879e-05
-      ], 
-      [
-        -1.57373e-07
-      ], 
-      [
-         1.36159e-11
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         8.92465e+02
-      ], 
-      [
-        -7.18248e-01
-      ], 
-      [
-        -3.39150e-04
-      ], 
-      [
-        -7.43451e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Therminol66", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "T66", 
-  "reference": "Therminol Heat Transfer Reference Disk", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         2.15782e+03
-      ], 
-      [
-         3.63011e+00
-      ], 
-      [
-         9.17109e-04
-      ], 
-      [
-         1.00446e-06
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -7.14791e+00
-      ], 
-      [
-        -7.74160e-03
-      ], 
-      [
-         7.25121e-05
-      ], 
-      [
-        -3.62299e-07
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/T72.json b/dev/incompressible_liquids/T72.json
deleted file mode 100644
index 18919f3d..00000000
--- a/dev/incompressible_liquids/T72.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  4.58150e+02, 
-  "Tmax":  6.53150e+02, 
-  "Tmin":  2.63150e+02, 
-  "TminPsat":  2.63150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         1.19554e-01
-      ], 
-      [
-        -1.21312e-04
-      ], 
-      [
-        -4.09811e-11
-      ], 
-      [
-        -1.66940e-12
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         9.29305e+02
-      ], 
-      [
-        -9.03191e-01
-      ], 
-      [
-         1.25870e-05
-      ], 
-      [
-        -1.18930e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Therminol72", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "T72", 
-  "reference": "Therminol Heat Transfer Reference Disk", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         1.99938e+03
-      ], 
-      [
-         2.70981e+00
-      ], 
-      [
-        -6.76773e-07
-      ], 
-      [
-         4.27171e-09
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -7.61176e+00
-      ], 
-      [
-        -7.33949e-03
-      ], 
-      [
-         4.78566e-05
-      ], 
-      [
-        -2.59010e-07
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/TCO.json b/dev/incompressible_liquids/TCO.json
deleted file mode 100644
index a333e21a..00000000
--- a/dev/incompressible_liquids/TCO.json
+++ /dev/null
@@ -1,80 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  0.00000e+00, 
-  "Tmax":  3.73150e+02, 
-  "Tmin":  1.93150e+02, 
-  "TminPsat":  3.73150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         1.74156e-04
-      ], 
-      [
-        -1.85052e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.07102e+03
-      ], 
-      [
-        -7.78166e-01
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Terpene from citrus oils - d-Limonene", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "TCO", 
-  "reference": "Melinder-BOOK-2010", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         2.23775e+02
-      ], 
-      [
-         5.21590e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -3.47971e+00
-      ], 
-      [
-        -1.07031e-02
-      ], 
-      [
-         1.14086e-06
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/TD12.json b/dev/incompressible_liquids/TD12.json
deleted file mode 100644
index 3117d0dc..00000000
--- a/dev/incompressible_liquids/TD12.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  3.45650e+02, 
-  "Tmax":  5.03150e+02, 
-  "Tmin":  1.88150e+02, 
-  "TminPsat":  1.88150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         1.01425e-01
-      ], 
-      [
-        -1.71241e-04
-      ], 
-      [
-        -1.60843e-07
-      ], 
-      [
-         4.55571e-12
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         7.24017e+02
-      ], 
-      [
-        -7.56836e-01
-      ], 
-      [
-        -5.53324e-04
-      ], 
-      [
-        -1.54981e-06
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "TherminolD12", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "TD12", 
-  "reference": "Therminol Heat Transfer Reference Disk", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         2.30099e+03
-      ], 
-      [
-         4.02982e+00
-      ], 
-      [
-         1.44249e-03
-      ], 
-      [
-         2.34356e-06
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -7.56694e+00
-      ], 
-      [
-        -8.91008e-03
-      ], 
-      [
-         8.65429e-05
-      ], 
-      [
-        -5.74824e-07
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/TVP1.json b/dev/incompressible_liquids/TVP1.json
deleted file mode 100644
index 648f54eb..00000000
--- a/dev/incompressible_liquids/TVP1.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  4.77650e+02, 
-  "Tmax":  6.70150e+02, 
-  "Tmin":  2.85150e+02, 
-  "TminPsat":  2.85150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         1.13068e-01
-      ], 
-      [
-        -1.57909e-04
-      ], 
-      [
-        -1.72984e-07
-      ], 
-      [
-         3.52351e-12
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         9.09449e+02
-      ], 
-      [
-        -8.92696e-01
-      ], 
-      [
-        -6.29287e-04
-      ], 
-      [
-        -1.93107e-06
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "TherminolVP1", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "TVP1", 
-  "reference": "Therminol Heat Transfer Reference Disk", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         2.05785e+03
-      ], 
-      [
-         2.64044e+00
-      ], 
-      [
-         8.48835e-05
-      ], 
-      [
-         4.84418e-06
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -7.89808e+00
-      ], 
-      [
-        -6.55270e-03
-      ], 
-      [
-         2.13825e-05
-      ], 
-      [
-        -7.12200e-08
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/TVP1869.json b/dev/incompressible_liquids/TVP1869.json
deleted file mode 100644
index c7f46f38..00000000
--- a/dev/incompressible_liquids/TVP1869.json
+++ /dev/null
@@ -1,83 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  2.73150e+02, 
-  "Tmax":  2.93150e+02, 
-  "Tmin":  1.93150e+02, 
-  "TminPsat":  2.93150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         1.50000e-01
-      ], 
-      [
-        -1.54545e-04
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         9.45545e+02
-      ], 
-      [
-        -1.05455e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Thermogen VP 1869", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "TVP1869", 
-  "reference": "Hoechst, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         2.32222e+03
-      ], 
-      [
-         3.84364e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         1.25642e+00
-      ], 
-      [
-        -3.57244e-02
-      ], 
-      [
-         1.07130e-04
-      ], 
-      [
-        -5.10205e-06
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 3, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/TX22.json b/dev/incompressible_liquids/TX22.json
deleted file mode 100644
index 7be3836e..00000000
--- a/dev/incompressible_liquids/TX22.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  4.48150e+02, 
-  "Tmax":  6.23150e+02, 
-  "Tmin":  2.73150e+02, 
-  "TminPsat":  3.13150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         1.22779e-01
-      ], 
-      [
-        -7.57405e-05
-      ], 
-      [
-        -1.45409e-08
-      ], 
-      [
-         1.39476e-10
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         7.59323e+02
-      ], 
-      [
-        -6.90833e-01
-      ], 
-      [
-        -3.57996e-04
-      ], 
-      [
-        -9.53654e-07
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Texatherm22", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "TX22", 
-  "reference": "Texaco data sheet", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         2.44969e+03
-      ], 
-      [
-         3.63408e+00
-      ], 
-      [
-        -2.15068e-04
-      ], 
-      [
-         4.31912e-08
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -6.42744e+00
-      ], 
-      [
-        -9.74936e-03
-      ], 
-      [
-         8.86622e-06
-      ], 
-      [
-        -6.68305e-07
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/TY10.json b/dev/incompressible_liquids/TY10.json
deleted file mode 100644
index 7b37af26..00000000
--- a/dev/incompressible_liquids/TY10.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  2.88150e+02, 
-  "Tmax":  3.13150e+02, 
-  "Tmin":  2.63150e+02, 
-  "TminPsat":  3.13150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         5.27406e-01
-      ], 
-      [
-         6.90906e-04
-      ], 
-      [
-         8.92857e-07
-      ], 
-      [
-         4.62963e-08
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.10200e+03
-      ], 
-      [
-        -4.00000e-01
-      ], 
-      [
-        -3.77465e-16
-      ], 
-      [
-         1.09433e-16
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Tyfoxit 1.10, Potassium Acetate", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "TY10", 
-  "reference": "Tyforop Chemie Gmbh - Technical information 09/99, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.53500e+03
-      ], 
-      [
-         2.53770e+00
-      ], 
-      [
-         1.49468e-15
-      ], 
-      [
-        -5.55556e-04
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -1.58506e+00
-      ], 
-      [
-        -2.52464e-02
-      ], 
-      [
-         2.37797e-04
-      ], 
-      [
-         9.03306e-07
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  0.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/TY15.json b/dev/incompressible_liquids/TY15.json
deleted file mode 100644
index ab090207..00000000
--- a/dev/incompressible_liquids/TY15.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  2.83150e+02, 
-  "Tmax":  3.13150e+02, 
-  "Tmin":  2.53150e+02, 
-  "TminPsat":  3.13150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.92000e-01
-      ], 
-      [
-         7.00000e-04
-      ], 
-      [
-         1.08420e-19
-      ], 
-      [
-         2.10218e-20
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.15400e+03
-      ], 
-      [
-        -4.00000e-01
-      ], 
-      [
-         9.99201e-16
-      ], 
-      [
-        -1.40061e-17
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Tyfoxit 1.15, Potassium Acetate", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "TY15", 
-  "reference": "Tyforop Chemie Gmbh - Technical information 09/99, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.27333e+03
-      ], 
-      [
-         2.40873e+00
-      ], 
-      [
-         2.38095e-03
-      ], 
-      [
-        -2.77778e-04
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -1.16427e+00
-      ], 
-      [
-        -2.97894e-02
-      ], 
-      [
-         2.60284e-04
-      ], 
-      [
-        -6.52977e-07
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  0.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/TY20.json b/dev/incompressible_liquids/TY20.json
deleted file mode 100644
index 8ca9a1a0..00000000
--- a/dev/incompressible_liquids/TY20.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  2.73150e+02, 
-  "Tmax":  3.13150e+02, 
-  "Tmin":  2.33150e+02, 
-  "TminPsat":  3.13150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.54628e-01
-      ], 
-      [
-         6.59007e-04
-      ], 
-      [
-        -1.08225e-07
-      ], 
-      [
-         8.41751e-10
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.20800e+03
-      ], 
-      [
-        -4.00000e-01
-      ], 
-      [
-         4.43981e-17
-      ], 
-      [
-        -1.11239e-17
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Tyfoxit 1.20, Potassium Acetate", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "TY20", 
-  "reference": "Tyforop Chemie Gmbh - Technical information 09/99, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.03169e+03
-      ], 
-      [
-         2.25673e+00
-      ], 
-      [
-        -8.65801e-04
-      ], 
-      [
-         8.41751e-06
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -4.87692e-01
-      ], 
-      [
-        -3.68831e-02
-      ], 
-      [
-         3.94308e-04
-      ], 
-      [
-        -4.30389e-06
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  0.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/TY24.json b/dev/incompressible_liquids/TY24.json
deleted file mode 100644
index 288a6868..00000000
--- a/dev/incompressible_liquids/TY24.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  2.65650e+02, 
-  "Tmax":  3.13150e+02, 
-  "Tmin":  2.18150e+02, 
-  "TminPsat":  3.13150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.24482e-01
-      ], 
-      [
-         6.12252e-04
-      ], 
-      [
-         1.78240e-07
-      ], 
-      [
-         9.18762e-09
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.25100e+03
-      ], 
-      [
-        -4.00000e-01
-      ], 
-      [
-        -1.80811e-16
-      ], 
-      [
-         2.31477e-17
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Tyfoxit 1.24, Potassium Acetate", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "TY24", 
-  "reference": "Tyforop Chemie Gmbh - Technical information 09/99, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         2.87008e+03
-      ], 
-      [
-         3.14283e+00
-      ], 
-      [
-        -2.44908e-03
-      ], 
-      [
-        -1.25780e-04
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         2.01528e-01
-      ], 
-      [
-        -4.51575e-02
-      ], 
-      [
-         3.92889e-04
-      ], 
-      [
-        -2.87396e-06
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  0.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/VCA.json b/dev/incompressible_liquids/VCA.json
deleted file mode 100644
index 1b3ca781..00000000
--- a/dev/incompressible_liquids/VCA.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.51553e+02
-      ], 
-      [
-        -1.85842e+02
-      ], 
-      [
-        -1.88064e+03
-      ], 
-      [
-        -1.85704e+04
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.55650e+02, 
-  "Tmax":  2.93150e+02, 
-  "Tmin":  2.18150e+02, 
-  "TminPsat":  2.93150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "VDI, Calcium Cloride", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "VCA", 
-  "reference": "VDI Waermeatlas 9th Edition 2002, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  2.23000e-01, 
-  "xid": 0, 
-  "xmax":  2.99000e-01, 
-  "xmin":  1.47000e-01
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/VKC.json b/dev/incompressible_liquids/VKC.json
deleted file mode 100644
index 122009f1..00000000
--- a/dev/incompressible_liquids/VKC.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.59276e+02
-      ], 
-      [
-        -9.97577e+01
-      ], 
-      [
-        -3.62413e+02
-      ], 
-      [
-        -9.06051e+02
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.65650e+02, 
-  "Tmax":  2.93150e+02, 
-  "Tmin":  2.38150e+02, 
-  "TminPsat":  2.93150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         5.17063e+02, 
-        -1.19579e+02, 
-        -4.36982e+02, 
-        -3.24971e+03, 
-         5.81008e+03, 
-         1.47947e+05
-      ], 
-      [
-         1.71528e+00, 
-        -4.07887e+00, 
-         2.18953e+01, 
-         1.14906e+02, 
-        -7.20713e+02, 
-         0.00000e+00
-      ], 
-      [
-        -5.71392e-03, 
-         8.96222e-02, 
-         5.77426e-02, 
-        -3.07215e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         1.72706e-04, 
-        -1.23193e-03, 
-        -3.94153e-03, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.29289e+03, 
-         9.16833e+02, 
-         1.88572e+03, 
-        -6.15684e+03, 
-        -1.26580e+05, 
-         7.03824e+05
-      ], 
-      [
-        -4.87418e-01, 
-        -8.94253e-02, 
-        -6.41866e+00, 
-         6.97727e+01, 
-        -1.46723e+02, 
-         0.00000e+00
-      ], 
-      [
-        -1.39866e-03, 
-         4.16013e-03, 
-         3.80378e-01, 
-        -2.95722e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         2.92814e-05, 
-         3.85164e-04, 
-        -5.81051e-03, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "VDI, Potassium Carbonate", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "VKC", 
-  "reference": "VDI Waermeatlas 9th Edition 2002, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         2.93331e+03, 
-        -2.55634e+03, 
-        -2.56526e+03, 
-        -4.95864e+03, 
-         6.05861e+05, 
-        -2.08219e+06
-      ], 
-      [
-         1.96111e+00, 
-        -2.55885e-01, 
-        -2.89544e+01, 
-         2.36938e+02, 
-         6.62966e+02, 
-         0.00000e+00
-      ], 
-      [
-        -6.12804e-04, 
-        -6.06474e-02, 
-         1.58898e+00, 
-        -9.27256e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         2.49081e-04, 
-         3.30957e-03, 
-        -4.70119e-02, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         6.41395e+00, 
-         5.27562e+00, 
-         9.24941e+00, 
-         1.84313e+01, 
-        -3.34658e+02, 
-        -1.02693e+03
-      ], 
-      [
-        -4.38135e-02, 
-        -6.52274e-02, 
-         9.56212e-02, 
-         2.38091e-01, 
-         3.77050e+00, 
-         0.00000e+00
-      ], 
-      [
-         5.44638e-05, 
-         1.49093e-03, 
-        -3.42275e-03, 
-        -4.26004e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         2.74813e-06, 
-        -2.83323e-05, 
-        -7.70172e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  2.58500e-01, 
-  "xid": 0, 
-  "xmax":  3.89000e-01, 
-  "xmin":  1.28000e-01
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/VMA.json b/dev/incompressible_liquids/VMA.json
deleted file mode 100644
index 6562ddd7..00000000
--- a/dev/incompressible_liquids/VMA.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.17752e+02
-      ], 
-      [
-        -1.46751e+02
-      ], 
-      [
-         3.84740e+01
-      ], 
-      [
-         2.69781e+02
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.33150e+02, 
-  "Tmax":  2.73150e+02, 
-  "Tmin":  1.93150e+02, 
-  "TminPsat":  2.73150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         3.66795e+02, 
-        -2.23236e+02, 
-        -7.05847e+01, 
-         4.27703e+01, 
-         9.39972e+02, 
-        -1.66606e+03
-      ], 
-      [
-        -2.32456e-02, 
-        -1.99709e+00, 
-        -2.98154e-01, 
-         8.15619e+00, 
-        -1.17939e+01, 
-         0.00000e+00
-      ], 
-      [
-         3.39242e-03, 
-        -2.30289e-02, 
-         6.08168e-02, 
-        -5.84046e-02, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -5.70715e-05, 
-         1.47140e-04, 
-         5.39129e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         9.52754e+02, 
-        -1.60709e+02, 
-        -7.50707e+01, 
-         4.04322e+02, 
-        -6.80173e+02, 
-        -3.88944e+03
-      ], 
-      [
-        -6.48326e-01, 
-        -6.58412e-01, 
-        -1.73437e+00, 
-         8.15567e+00, 
-        -6.92437e+00, 
-         0.00000e+00
-      ], 
-      [
-         2.15682e-03, 
-        -3.07959e-02, 
-         1.29771e-01, 
-        -1.57903e-01, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -4.05027e-05, 
-         6.60746e-04, 
-        -1.53627e-03, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "VDI, Methanol", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "VMA", 
-  "reference": "VDI Waermeatlas 9th Edition 2002, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.34071e+03, 
-        -2.17071e+03, 
-         5.37063e+02, 
-        -2.30353e+02, 
-         1.85284e+03, 
-        -7.86409e+03
-      ], 
-      [
-         2.44973e+00, 
-         1.36834e+00, 
-        -1.38372e+01, 
-         3.61600e+01, 
-        -2.26274e+01, 
-         0.00000e+00
-      ], 
-      [
-         5.11093e-03, 
-        -4.91227e-02, 
-         1.53917e-01, 
-        -1.64876e-01, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -1.92552e-04, 
-         1.96860e-03, 
-        -4.33099e-03, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         7.59305e+00, 
-        -4.75097e+00, 
-        -1.24609e+00, 
-         3.46990e+01, 
-        -7.37816e+01, 
-         3.20959e+00
-      ], 
-      [
-        -7.32430e-02, 
-         1.97714e-01, 
-         6.75779e-03, 
-        -1.36883e+00, 
-         1.98028e+00, 
-         0.00000e+00
-      ], 
-      [
-         1.52710e-03, 
-        -5.49008e-03, 
-         6.48066e-04, 
-         1.29535e-02, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -1.94932e-05, 
-         7.12028e-05, 
-        -7.15218e-05, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  5.00000e-01, 
-  "xid": 0, 
-  "xmax":  9.00000e-01, 
-  "xmin":  1.00000e-01
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/VMG.json b/dev/incompressible_liquids/VMG.json
deleted file mode 100644
index 64bf7a7e..00000000
--- a/dev/incompressible_liquids/VMG.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.58296e+02
-      ], 
-      [
-        -2.26088e+02
-      ], 
-      [
-        -9.93167e+02
-      ], 
-      [
-         2.81407e+03
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.66650e+02, 
-  "Tmax":  2.93150e+02, 
-  "Tmin":  2.40150e+02, 
-  "TminPsat":  2.93150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "VDI, Magnesium Chloride", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "VMG", 
-  "reference": "VDI Waermeatlas 9th Edition 2002, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  1.39000e-01, 
-  "xid": 0, 
-  "xmax":  2.06000e-01, 
-  "xmin":  7.20000e-02
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/VNA.json b/dev/incompressible_liquids/VNA.json
deleted file mode 100644
index 5352c48a..00000000
--- a/dev/incompressible_liquids/VNA.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.62056e+02
-      ], 
-      [
-        -9.62356e+01
-      ], 
-      [
-        -2.59960e+02
-      ], 
-      [
-        -1.22815e+03
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  2.72650e+02, 
-  "Tmax":  2.93150e+02, 
-  "Tmin":  2.52150e+02, 
-  "TminPsat":  2.93150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         5.51750e+02, 
-        -1.18175e+02, 
-        -4.33983e+01, 
-         3.41983e+04, 
-        -1.80156e+04, 
-        -5.18921e+06
-      ], 
-      [
-         1.45026e+00, 
-         2.23903e+00, 
-         1.48351e+02, 
-        -1.58205e+02, 
-        -2.57735e+04, 
-         0.00000e+00
-      ], 
-      [
-         5.32309e-03, 
-        -2.54046e-01, 
-        -8.43666e-01, 
-         3.15674e+01, 
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-        -9.85834e-05, 
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-         4.52443e-02, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
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-    "type": "polynomial"
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-  "density": {
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-         1.11735e+03, 
-         7.69071e+02, 
-        -4.37940e+02, 
-         2.46236e+04, 
-         9.58339e+04, 
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-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "VDI, Sodium Chloride", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "VNA", 
-  "reference": "VDI Waermeatlas 9th Edition 2002, SecCool software", 
-  "saturation_pressure": {
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-    "type": "notdefined"
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-  "specific_heat": {
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-        -2.88594e+03, 
-         6.09082e+03, 
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-        -2.35230e+05, 
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-    "type": "polynomial"
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-  "viscosity": {
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-         3.17032e-04, 
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-         0.00000e+00, 
-         0.00000e+00
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-    "type": "exppolynomial"
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-  "volume2input": {
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-    "type": "notdefined"
-  }, 
-  "xbase":  1.50500e-01, 
-  "xid": 0, 
-  "xmax":  2.31000e-01, 
-  "xmin":  7.00000e-02
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/XLT.json b/dev/incompressible_liquids/XLT.json
deleted file mode 100644
index 2ae7df59..00000000
--- a/dev/incompressible_liquids/XLT.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  3.53150e+02, 
-  "Tmax":  5.33150e+02, 
-  "Tmin":  1.73150e+02, 
-  "TminPsat":  5.33150e+02, 
-  "conductivity": {
-    "coeffs": [
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-         9.72731e-02
-      ], 
-      [
-        -2.34149e-04
-      ], 
-      [
-        -1.43952e-07
-      ], 
-      [
-         1.12031e-10
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
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-         7.93646e+02
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-      ], 
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-      ], 
-      [
-         1.03681e-09
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "SylthermXLT", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "XLT", 
-  "reference": "Dow Chemicals data sheet", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
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-         1.89774e+03
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-      [
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-      [
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-    "type": "polynomial"
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-  "viscosity": {
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-    "type": "exppolynomial"
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-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
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-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/XLT2.json b/dev/incompressible_liquids/XLT2.json
deleted file mode 100644
index 3b0865fe..00000000
--- a/dev/incompressible_liquids/XLT2.json
+++ /dev/null
@@ -1,101 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  3.53150e+02, 
-  "Tmax":  5.33150e+02, 
-  "Tmin":  1.73150e+02, 
-  "TminPsat":  5.33150e+02, 
-  "conductivity": {
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-      ], 
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-      [
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-      ], 
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-      ]
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-    "type": "polynomial"
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-  "density": {
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-      ], 
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-      ], 
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-         9.21421e-09
-      ], 
-      [
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-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Syltherm XLT, Polydimethylsiloxan", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "XLT2", 
-  "reference": "Dow Chemicals, SecCool software", 
-  "saturation_pressure": {
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-    "type": "notdefined"
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-  "specific_heat": {
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-    "type": "polynomial"
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-  "viscosity": {
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-      ], 
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-    "type": "exppolynomial"
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-  "volume2input": {
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-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  0.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/ZAC.json b/dev/incompressible_liquids/ZAC.json
deleted file mode 100644
index 1711219a..00000000
--- a/dev/incompressible_liquids/ZAC.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
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-         2.70415e+02
-      ], 
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-      ], 
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-         2.77844e+00
-      ], 
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-         9.00803e-01
-      ]
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-    "type": "polynomial"
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-  "Tbase":  3.23150e+02, 
-  "Tmax":  3.73150e+02, 
-  "Tmin":  2.73150e+02, 
-  "TminPsat":  3.73150e+02, 
-  "conductivity": {
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-        -8.70885e-05, 
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-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Zitrec AC, Corrosion Inhibitor", 
-  "mass2input": {
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-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "ZAC", 
-  "reference": "Arteco, SecCool software", 
-  "saturation_pressure": {
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-    "type": "notdefined"
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-  "specific_heat": {
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-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
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-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  2.80000e-01, 
-  "xid": 2, 
-  "xmax":  5.00000e-01, 
-  "xmin":  6.00000e-02
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/ZFC.json b/dev/incompressible_liquids/ZFC.json
deleted file mode 100644
index aa23ed2c..00000000
--- a/dev/incompressible_liquids/ZFC.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
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-         2.44400e+02
-      ], 
-      [
-        -1.28333e+02
-      ], 
-      [
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-      ], 
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-      ]
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-    "type": "polynomial"
-  }, 
-  "Tbase":  3.03150e+02, 
-  "Tmax":  3.73150e+02, 
-  "Tmin":  2.33150e+02, 
-  "TminPsat":  3.73150e+02, 
-  "conductivity": {
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-      ]
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-    "type": "polynomial"
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-  "density": {
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-      ]
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-  }, 
-  "description": "Zitrec FC, Propylene Glycol", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "ZFC", 
-  "reference": "Arteco, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
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-      ]
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-  "viscosity": {
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-      [
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-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  4.50000e-01, 
-  "xid": 2, 
-  "xmax":  6.00000e-01, 
-  "xmin":  3.00000e-01
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/ZLC.json b/dev/incompressible_liquids/ZLC.json
deleted file mode 100644
index 65cb81e9..00000000
--- a/dev/incompressible_liquids/ZLC.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.39733e+02
-      ], 
-      [
-        -1.49500e+02
-      ], 
-      [
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-      ], 
-      [
-        -2.00000e+02
-      ]
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-    "type": "polynomial"
-  }, 
-  "Tbase":  2.98150e+02, 
-  "Tmax":  3.73150e+02, 
-  "Tmin":  2.23150e+02, 
-  "TminPsat":  3.73150e+02, 
-  "conductivity": {
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-         0.00000e+00, 
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-      [
-         0.00000e+00, 
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-      [
-         0.00000e+00, 
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-         0.00000e+00, 
-         0.00000e+00, 
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-    "type": "polynomial"
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-  "density": {
-    "coeffs": [
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-         0.00000e+00, 
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-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Zitrec LC, Propylene Glycol", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "ZLC", 
-  "reference": "Arteco, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
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-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  5.00000e-01, 
-  "xid": 2, 
-  "xmax":  7.00000e-01, 
-  "xmin":  3.00000e-01
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/ZM.json b/dev/incompressible_liquids/ZM.json
deleted file mode 100644
index 41e4c548..00000000
--- a/dev/incompressible_liquids/ZM.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.32647e+02
-      ], 
-      [
-        -1.25199e+02
-      ], 
-      [
-        -8.92424e+01
-      ], 
-      [
-        -5.82751e-02
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  3.08150e+02, 
-  "Tmax":  3.93150e+02, 
-  "Tmin":  2.23150e+02, 
-  "TminPsat":  3.93150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.12096e-01, 
-        -2.97235e-01, 
-         1.64689e-01, 
-        -4.65908e-01, 
-         4.68810e-03, 
-         1.30916e+00
-      ], 
-      [
-        -2.79603e-04, 
-        -2.53041e-03, 
-         4.13808e-03, 
-         2.04736e-03, 
-        -6.87899e-03, 
-         0.00000e+00
-      ], 
-      [
-         3.14445e-08, 
-         7.25393e-06, 
-        -1.87004e-05, 
-        -6.86085e-06, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         6.20534e-10, 
-        -1.24452e-08, 
-         1.58213e-08, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.05982e+03, 
-         1.16686e+02, 
-        -6.17309e+01, 
-        -4.91879e+01, 
-         8.04294e+01, 
-         9.12665e+01
-      ], 
-      [
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-        -4.14724e-01, 
-         4.16464e-01, 
-         7.38533e-02, 
-        -3.40757e-02, 
-         0.00000e+00
-      ], 
-      [
-        -1.42331e-03, 
-         3.31196e-03, 
-        -3.11817e-03, 
-         3.41684e-03, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-        -8.55806e-07, 
-         2.52598e-06, 
-         4.12252e-06, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Zitrec M, Ethylene Glycol", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "ZM", 
-  "reference": "Arteco, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         3.44881e+00, 
-        -2.09231e+00, 
-        -2.05267e-01, 
-         1.49396e+00, 
-        -1.75608e+00, 
-        -6.27668e-01
-      ], 
-      [
-         5.10103e-03, 
-         6.43608e-03, 
-        -1.56985e-02, 
-        -6.42688e-03, 
-         1.52881e-02, 
-         0.00000e+00
-      ], 
-      [
-        -2.51952e-05, 
-         2.47938e-05, 
-         1.13907e-04, 
-        -1.54588e-04, 
-         0.00000e+00, 
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-      [
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-         7.02672e-08, 
-         6.53124e-07, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
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-      [
-        -5.89346e+00, 
-         2.92895e+00, 
-         1.24445e+00, 
-         1.45080e-01, 
-        -2.84135e+00, 
-        -1.01797e+00
-      ], 
-      [
-        -3.29706e-02, 
-        -3.10081e-02, 
-         2.40820e-02, 
-         5.15915e-02, 
-        -4.68166e-02, 
-         0.00000e+00
-      ], 
-      [
-         1.78250e-04, 
-         3.74770e-05, 
-        -3.39628e-04, 
-        -2.18846e-04, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         4.26876e-07, 
-         1.46046e-06, 
-        -7.07020e-07, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  5.00000e-01, 
-  "xid": 2, 
-  "xmax":  1.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/ZMC.json b/dev/incompressible_liquids/ZMC.json
deleted file mode 100644
index 5d1391a2..00000000
--- a/dev/incompressible_liquids/ZMC.json
+++ /dev/null
@@ -1,194 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": [
-      [
-         2.36033e+02
-      ], 
-      [
-        -1.20500e+02
-      ], 
-      [
-        -9.21429e+01
-      ], 
-      [
-         1.24962e-12
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "Tbase":  3.03150e+02, 
-  "Tmax":  3.83150e+02, 
-  "Tmin":  2.23150e+02, 
-  "TminPsat":  3.83150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
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-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
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-         0.00000e+00, 
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-      ], 
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-         0.00000e+00, 
-         0.00000e+00
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-      [
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-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Zitrec MC, Ethylene Glycol", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "ZMC", 
-  "reference": "Arteco, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
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-         0.00000e+00, 
-         0.00000e+00
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-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  5.00000e-01, 
-  "xid": 2, 
-  "xmax":  7.00000e-01, 
-  "xmin":  3.00000e-01
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/ZS10.json b/dev/incompressible_liquids/ZS10.json
deleted file mode 100644
index 24d3afdb..00000000
--- a/dev/incompressible_liquids/ZS10.json
+++ /dev/null
@@ -1,141 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  3.14150e+02, 
-  "Tmax":  3.63150e+02, 
-  "Tmin":  2.65150e+02, 
-  "TminPsat":  3.63150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.07969e+03
-      ], 
-      [
-        -4.64311e-01
-      ], 
-      [
-        -1.24609e-11
-      ], 
-      [
-        -2.08576e-13
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Zitrec S10, Potassium formate/Sodium propionate", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "ZS10", 
-  "reference": "Arteco, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -6.81302e+00
-      ], 
-      [
-        -2.04862e-02
-      ], 
-      [
-         1.39398e-04
-      ], 
-      [
-        -5.89425e-07
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  0.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/ZS25.json b/dev/incompressible_liquids/ZS25.json
deleted file mode 100644
index cb40513c..00000000
--- a/dev/incompressible_liquids/ZS25.json
+++ /dev/null
@@ -1,141 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  3.06650e+02, 
-  "Tmax":  3.63150e+02, 
-  "Tmin":  2.50150e+02, 
-  "TminPsat":  3.63150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.17606e+03
-      ], 
-      [
-        -5.32663e-01
-      ], 
-      [
-         1.11022e-16
-      ], 
-      [
-         5.13778e-13
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Zitrec S25, Potassium formate/Sodium propionate", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "ZS25", 
-  "reference": "Arteco, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -6.42360e+00
-      ], 
-      [
-        -2.00287e-02
-      ], 
-      [
-         1.64556e-04
-      ], 
-      [
-        -1.21592e-06
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  0.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/ZS40.json b/dev/incompressible_liquids/ZS40.json
deleted file mode 100644
index 0e943fa3..00000000
--- a/dev/incompressible_liquids/ZS40.json
+++ /dev/null
@@ -1,141 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  2.99150e+02, 
-  "Tmax":  3.63150e+02, 
-  "Tmin":  2.35150e+02, 
-  "TminPsat":  3.63150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.24723e+03
-      ], 
-      [
-        -5.67309e-01
-      ], 
-      [
-         2.85305e-12
-      ], 
-      [
-         4.71224e-13
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Zitrec S40, Potassium formate/Sodium propionate", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "ZS40", 
-  "reference": "Arteco, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -6.04584e+00
-      ], 
-      [
-        -2.23522e-02
-      ], 
-      [
-         1.93741e-04
-      ], 
-      [
-        -1.29344e-06
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  0.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/ZS45.json b/dev/incompressible_liquids/ZS45.json
deleted file mode 100644
index e404d1f0..00000000
--- a/dev/incompressible_liquids/ZS45.json
+++ /dev/null
@@ -1,141 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  2.96650e+02, 
-  "Tmax":  3.63150e+02, 
-  "Tmin":  2.30150e+02, 
-  "TminPsat":  3.63150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.26911e+03
-      ], 
-      [
-        -5.52465e-01
-      ], 
-      [
-        -3.09230e-12
-      ], 
-      [
-         3.81225e-14
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Zitrec S45, Potassium formate/Sodium propionate", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "ZS45", 
-  "reference": "Arteco, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-        -5.90636e+00
-      ], 
-      [
-        -2.28609e-02
-      ], 
-      [
-         2.10630e-04
-      ], 
-      [
-        -1.50675e-06
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  0.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/ZS55.json b/dev/incompressible_liquids/ZS55.json
deleted file mode 100644
index 7b1ef236..00000000
--- a/dev/incompressible_liquids/ZS55.json
+++ /dev/null
@@ -1,141 +0,0 @@
-{
-  "T_freeze": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "Tbase":  2.90650e+02, 
-  "Tmax":  3.63150e+02, 
-  "Tmin":  2.18150e+02, 
-  "TminPsat":  3.63150e+02, 
-  "conductivity": {
-    "coeffs": [
-      [
-         4.51599e-01
-      ], 
-      [
-         8.65632e-04
-      ], 
-      [
-         5.28035e-07
-      ], 
-      [
-        -1.14497e-12
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "density": {
-    "coeffs": [
-      [
-         1.31315e+03
-      ], 
-      [
-        -6.04429e-01
-      ], 
-      [
-        -5.66853e-12
-      ], 
-      [
-        -3.81547e-15
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "description": "Zitrec S55, Potassium formate/Sodium propionate", 
-  "mass2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "mole2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "name": "ZS55", 
-  "reference": "Arteco, SecCool software", 
-  "saturation_pressure": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "specific_heat": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "polynomial"
-  }, 
-  "viscosity": {
-    "coeffs": [
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ], 
-      [
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00, 
-         0.00000e+00
-      ]
-    ], 
-    "type": "exppolynomial"
-  }, 
-  "volume2input": {
-    "coeffs": "null", 
-    "type": "notdefined"
-  }, 
-  "xbase":  0.00000e+00, 
-  "xid": 4, 
-  "xmax":  0.00000e+00, 
-  "xmin":  0.00000e+00
-}
\ No newline at end of file
diff --git a/dev/incompressible_liquids/all_incompressibles.py b/dev/incompressible_liquids/all_incompressibles.py
index 34c99552..40f861b2 100644
--- a/dev/incompressible_liquids/all_incompressibles.py
+++ b/dev/incompressible_liquids/all_incompressibles.py
@@ -11,8 +11,17 @@ if __name__ == '__main__':
     doneObjs = []
     
     # To debug single fluids
-    #writer.fitSecCoolList([Freezium()])
-    #sys.exit(0)
+    from CPIncomp.SecCoolFluids import Freezium
+    #solObjs = [SecCoolSolutionData(sFile='Melinder, Ammonia'            ,sFolder='xMass',name='MAM2',desc='Melinder, Ammonia'            ,ref='Melinder-BOOK-2010, SecCool software')]
+    solObjs = [Freezium()]
+    solObjs[0].T_freeze.DEBUG = True
+    writer.fitSecCoolList(solObjs)
+    #
+    ##from CPIncomp.ExampleObjects import SecCoolExample
+    ##solObjs = [SecCoolExample()]
+    writer.writeFluidList(solObjs)
+    writer.writeReportList(solObjs)
+    sys.exit(0)
     
     fluidObjs = getExampleNames(obj=True)
     examplesToFit = ["ExamplePure","ExampleSolution","ExampleDigital"]
@@ -62,7 +71,9 @@ if __name__ == '__main__':
     
     
     print("All checks passed, going to write to disk.")
+    
     writer.writeFluidList(doneObjs)
+    writer.writeReportList(doneObjs)
 
     print("All done, bye")
     sys.exit(0)
diff --git a/include/IncompressibleFluid.h b/include/IncompressibleFluid.h
index b325573c..5461555c 100644
--- a/include/IncompressibleFluid.h
+++ b/include/IncompressibleFluid.h
@@ -30,9 +30,8 @@ struct IncompressibleData {
 	enum IncompressibleTypeEnum {
 		INCOMPRESSIBLE_NOT_SET,
 		INCOMPRESSIBLE_POLYNOMIAL,
-		INCOMPRESSIBLE_EXPONENTIAL,
 		INCOMPRESSIBLE_EXPPOLYNOMIAL,
-		INCOMPRESSIBLE_EXPOFFSET,
+		INCOMPRESSIBLE_EXPONENTIAL,
 		INCOMPRESSIBLE_POLYOFFSET
 	};
 	Eigen::MatrixXd coeffs; //TODO: Can we store the Eigen::Matrix objects more efficiently?
diff --git a/src/Backends/Incompressible/IncompressibleFluid.cpp b/src/Backends/Incompressible/IncompressibleFluid.cpp
index d2cac0a0..1f111ddf 100644
--- a/src/Backends/Incompressible/IncompressibleFluid.cpp
+++ b/src/Backends/Incompressible/IncompressibleFluid.cpp
@@ -46,12 +46,6 @@ double IncompressibleFluid::baseExponential(IncompressibleData data, double y, d
 	if (strict && (r!=3 || c!=1) ) throw ValueError(format("%s (%d): You have to provide a 3,1 matrix of coefficients, not  (%d,%d).",__FILE__,__LINE__,r,c));
 	return exp( (double) (coeffs[0] / ( (y-ybase)+coeffs[1] ) - coeffs[2] ) );
 }
-double IncompressibleFluid::baseExponentialOffset(IncompressibleData data, double y){
-	Eigen::VectorXd coeffs = makeVector(data.coeffs);
-	size_t r=coeffs.rows(),c=coeffs.cols();
-	if (strict && (r!=4 || c!=1) ) throw ValueError(format("%s (%d): You have to provide a 4,1 matrix of coefficients, not  (%d,%d).",__FILE__,__LINE__,r,c));
-	return exp( (double) (coeffs[1] / ( (y-coeffs[0])+coeffs[2] ) - coeffs[3] ) );
-}
 double IncompressibleFluid::basePolyOffset(IncompressibleData data, double y, double z){
 	size_t r=data.coeffs.rows(),c=data.coeffs.cols();
 	double offset = 0.0;
@@ -81,14 +75,11 @@ double IncompressibleFluid::rho (double T, double p, double x){
 			return poly.evaluate(density.coeffs, T, x, 0, 0, Tbase, xbase);
 			break;
 		case IncompressibleData::INCOMPRESSIBLE_EXPONENTIAL:
-			return baseExponential(density, T, Tbase);
+			return baseExponential(density, T, 0.0);
 			break;
 		case IncompressibleData::INCOMPRESSIBLE_EXPPOLYNOMIAL:
 			return exp(poly.evaluate(density.coeffs, T, x, 0, 0, Tbase, xbase));
 			break;
-		case IncompressibleData::INCOMPRESSIBLE_EXPOFFSET:
-			return baseExponentialOffset(density, T);
-			break;
 		case IncompressibleData::INCOMPRESSIBLE_POLYOFFSET:
 			return basePolyOffset(density, T, x);
 			break;
@@ -163,14 +154,11 @@ double IncompressibleFluid::visc(double T, double p, double x){
 			return poly.evaluate(viscosity.coeffs, T, x, 0, 0, Tbase, xbase);
 			break;
 		case IncompressibleData::INCOMPRESSIBLE_EXPONENTIAL:
-			return baseExponential(viscosity, T, Tbase);
+			return baseExponential(viscosity, T, 0.0);
 			break;
 		case IncompressibleData::INCOMPRESSIBLE_EXPPOLYNOMIAL:
 			return exp(poly.evaluate(viscosity.coeffs, T, x, 0, 0, Tbase, xbase));
 			break;
-		case IncompressibleData::INCOMPRESSIBLE_EXPOFFSET:
-			return baseExponentialOffset(viscosity, T);
-			break;
 		case IncompressibleData::INCOMPRESSIBLE_POLYOFFSET:
 			return basePolyOffset(viscosity, T, x);
 			break;
@@ -190,14 +178,11 @@ double IncompressibleFluid::cond(double T, double p, double x){
 			return poly.evaluate(conductivity.coeffs, T, x, 0, 0, Tbase, xbase);
 			break;
 		case IncompressibleData::INCOMPRESSIBLE_EXPONENTIAL:
-			return baseExponential(conductivity, T, Tbase);
+			return baseExponential(conductivity, T, 0.0);
 			break;
 		case IncompressibleData::INCOMPRESSIBLE_EXPPOLYNOMIAL:
 			return exp(poly.evaluate(conductivity.coeffs, T, x, 0, 0, Tbase, xbase));
 			break;
-		case IncompressibleData::INCOMPRESSIBLE_EXPOFFSET:
-			return baseExponentialOffset(conductivity, T);
-			break;
 		case IncompressibleData::INCOMPRESSIBLE_POLYOFFSET:
 			return basePolyOffset(conductivity, T, x);
 			break;
@@ -218,14 +203,11 @@ double IncompressibleFluid::psat(double T,           double x){
 			return poly.evaluate(p_sat.coeffs, T, x, 0, 0, Tbase, xbase);
 			break;
 		case IncompressibleData::INCOMPRESSIBLE_EXPONENTIAL:
-			return baseExponential(p_sat, T, Tbase);
+			return baseExponential(p_sat, T, 0.0);
 			break;
 		case IncompressibleData::INCOMPRESSIBLE_EXPPOLYNOMIAL:
 			return exp(poly.evaluate(p_sat.coeffs, T, x, 0, 0, Tbase, xbase));
 			break;
-		case IncompressibleData::INCOMPRESSIBLE_EXPOFFSET:
-			return baseExponentialOffset(p_sat, T);
-			break;
 		case IncompressibleData::INCOMPRESSIBLE_POLYOFFSET:
 			return basePolyOffset(p_sat, T, x);
 			break;
@@ -242,19 +224,16 @@ double IncompressibleFluid::psat(double T,           double x){
 double IncompressibleFluid::Tfreeze(       double p, double x){
 	switch (T_freeze.type) {
 		case IncompressibleData::INCOMPRESSIBLE_POLYNOMIAL:
-			return poly.evaluate(T_freeze.coeffs, x, p, 0, 0, xbase, 0.0);
+			return poly.evaluate(T_freeze.coeffs, p, x, 0, 0, 0.0, xbase);
 			break;
 		case IncompressibleData::INCOMPRESSIBLE_EXPONENTIAL:
-			return baseExponential(T_freeze, x, xbase);
+			return baseExponential(T_freeze, x, 0.0);
 			break;
 		case IncompressibleData::INCOMPRESSIBLE_EXPPOLYNOMIAL:
-			return exp(poly.evaluate(T_freeze.coeffs, x, p, 0, 0, xbase, 0.0));
-			break;
-		case IncompressibleData::INCOMPRESSIBLE_EXPOFFSET:
-			return baseExponentialOffset(T_freeze, x);
+			return exp(poly.evaluate(T_freeze.coeffs, p, x, 0, 0, 0.0, xbase));
 			break;
 		case IncompressibleData::INCOMPRESSIBLE_POLYOFFSET:
-			return basePolyOffset(T_freeze, x, p);
+			return basePolyOffset(T_freeze, p, x);
 			break;
 		case IncompressibleData::INCOMPRESSIBLE_NOT_SET:
 			throw ValueError(format("%s (%d): The function type is not specified (\"[%d]\"), are you sure the coefficients have been set?",__FILE__,__LINE__,T_freeze.type));
@@ -281,14 +260,11 @@ double IncompressibleFluid::inputFromMass (double T,     double x){
 				return poly.evaluate(mass2input.coeffs, T, x, 0, 0, 0.0, 0.0); // TODO: make sure Tbase and xbase is defined in the correct way
 				break;
 			case IncompressibleData::INCOMPRESSIBLE_EXPONENTIAL:
-				return baseExponential(mass2input, T, Tbase);
+				return baseExponential(mass2input, T, 0.0);
 				break;
 			case IncompressibleData::INCOMPRESSIBLE_EXPPOLYNOMIAL:
 				return exp(poly.evaluate(mass2input.coeffs, T, x, 0, 0, 0.0, 0.0)); // TODO: make sure Tbase and xbase is defined in the correct way
 				break;
-			case IncompressibleData::INCOMPRESSIBLE_EXPOFFSET:
-				return baseExponentialOffset(mass2input, T);
-				break;
 			case IncompressibleData::INCOMPRESSIBLE_POLYOFFSET:
 				return basePolyOffset(mass2input, T, x);
 				break;
@@ -318,14 +294,11 @@ double IncompressibleFluid::inputFromVolume (double T,   double x){
 				return poly.evaluate(volume2input.coeffs, T, x, 0, 0, 0.0, 0.0); // TODO: make sure Tbase and xbase is defined in the correct way
 				break;
 			case IncompressibleData::INCOMPRESSIBLE_EXPONENTIAL:
-				return baseExponential(volume2input, T, Tbase);
+				return baseExponential(volume2input, T, 0.0);
 				break;
 			case IncompressibleData::INCOMPRESSIBLE_EXPPOLYNOMIAL:
 				return exp(poly.evaluate(volume2input.coeffs, T, x, 0, 0, 0.0, 0.0)); // TODO: make sure Tbase and xbase is defined in the correct way
 				break;
-			case IncompressibleData::INCOMPRESSIBLE_EXPOFFSET:
-				return baseExponentialOffset(volume2input, T);
-				break;
 			case IncompressibleData::INCOMPRESSIBLE_POLYOFFSET:
 				return basePolyOffset(volume2input, T, x);
 				break;
@@ -355,14 +328,11 @@ double IncompressibleFluid::inputFromMole (double T,     double x){
 				return poly.evaluate(mole2input.coeffs, T, x, 0, 0, 0.0, 0.0); // TODO: make sure Tbase and xbase is defined in the correct way
 				break;
 			case IncompressibleData::INCOMPRESSIBLE_EXPONENTIAL:
-				return baseExponential(mole2input, T, Tbase);
+				return baseExponential(mole2input, T, 0.0);
 				break;
 			case IncompressibleData::INCOMPRESSIBLE_EXPPOLYNOMIAL:
 				return exp(poly.evaluate(mole2input.coeffs, T, x, 0, 0, 0.0, 0.0)); // TODO: make sure Tbase and xbase is defined in the correct way
 				break;
-			case IncompressibleData::INCOMPRESSIBLE_EXPOFFSET:
-				return baseExponentialOffset(mole2input, T);
-				break;
 			case IncompressibleData::INCOMPRESSIBLE_POLYOFFSET:
 				return basePolyOffset(mole2input, T, x);
 				break;
diff --git a/src/Backends/Incompressible/IncompressibleLibrary.cpp b/src/Backends/Incompressible/IncompressibleLibrary.cpp
index ac32e453..64c3e885 100644
--- a/src/Backends/Incompressible/IncompressibleLibrary.cpp
+++ b/src/Backends/Incompressible/IncompressibleLibrary.cpp
@@ -372,11 +372,6 @@ IncompressibleData JSONIncompressibleLibrary::parse_coefficients(rapidjson::Valu
 					fluidData.coeffs = vec_to_eigen(cpjson::get_double_array2D(obj[id.c_str()]["coeffs"]));
 					return fluidData;
 				}
-				else if (!type.compare("expoffset")){
-					fluidData.type = CoolProp::IncompressibleData::INCOMPRESSIBLE_EXPOFFSET;
-					fluidData.coeffs = vec_to_eigen(cpjson::get_double_array(obj[id.c_str()]["coeffs"]));
-					return fluidData;
-				}
 				else if (!type.compare("polyoffset")){
 					fluidData.type = CoolProp::IncompressibleData::INCOMPRESSIBLE_POLYOFFSET;
 					fluidData.coeffs = vec_to_eigen(cpjson::get_double_array(obj[id.c_str()]["coeffs"]));
@@ -420,6 +415,19 @@ double JSONIncompressibleLibrary::parse_value(rapidjson::Value &obj, std::string
 	}
 }
 
+/// Get an integer from the JSON storage to identify the composition
+int JSONIncompressibleLibrary::parse_ifrac(rapidjson::Value &obj, std::string id){
+	std::string res = cpjson::get_string(obj, id);
+	if (!res.compare("mass")) return CoolProp::ifrac_undefined;
+	if (!res.compare("mole")) return CoolProp::ifrac_mole;
+	if (!res.compare("volume")) return CoolProp::ifrac_volume;
+	if (!res.compare("not defined")) return CoolProp::ifrac_undefined;
+	if (!res.compare("pure")) return CoolProp::ifrac_pure;
+
+	throw ValueError(format("Cannot recognise the entry for [%s], [%s] is unknown for incompressible fluids.", id.c_str(), res.c_str()));
+	return CoolProp::ifrac_undefined;
+}
+
 /// Add all the fluid entries in the rapidjson::Value instance passed in
 void JSONIncompressibleLibrary::add_many(rapidjson::Value &listing) {
 	for (rapidjson::Value::ValueIterator itr = listing.Begin();
@@ -448,11 +456,11 @@ void JSONIncompressibleLibrary::add_one(rapidjson::Value &fluid_json) {
     	if (get_debug_level()>=20) std::cout << format("Incompressible library: Loading base values for %s ",fluid.getName().c_str()) << std::endl;
 	    fluid.setDescription(cpjson::get_string(fluid_json, "description"));
 	    fluid.setReference(cpjson::get_string(fluid_json, "reference"));
-	    fluid.setTmax(parse_value(fluid_json, "Tmax", true, 0.0));
-	    fluid.setTmin(parse_value(fluid_json, "Tmin", true, 0.0));
-	    fluid.setxmax(parse_value(fluid_json, "xmax", false, 1.0));
-	    fluid.setxmin(parse_value(fluid_json, "xmin", false, 0.0));
-	    fluid.setxid((int) parse_value(fluid_json, "xid", true, 0.0));
+	    fluid.setTmax(    parse_value(fluid_json, "Tmax", true, 0.0));
+	    fluid.setTmin(    parse_value(fluid_json, "Tmin", true, 0.0));
+	    fluid.setxmax(    parse_value(fluid_json, "xmax", false, 1.0));
+	    fluid.setxmin(    parse_value(fluid_json, "xmin", false, 0.0));
+	    fluid.setxid(     parse_ifrac(fluid_json, "xid") );
 	    fluid.setTminPsat(parse_value(fluid_json, "TminPsat", false, 0.0));
 
 	    fluid.setTbase(parse_value(fluid_json, "Tbase", false, 0.0));
diff --git a/src/Backends/Incompressible/IncompressibleLibrary.h b/src/Backends/Incompressible/IncompressibleLibrary.h
index b432fe0f..f623c63b 100644
--- a/src/Backends/Incompressible/IncompressibleLibrary.h
+++ b/src/Backends/Incompressible/IncompressibleLibrary.h
@@ -154,6 +154,7 @@ protected:
     /// A general function to parse the json files that hold the coefficient matrices
     IncompressibleData parse_coefficients(rapidjson::Value &obj, std::string id, bool vital);
     double parse_value(rapidjson::Value &obj, std::string id, bool vital, double def);
+    int parse_ifrac(rapidjson::Value &obj, std::string id);
 
 public:
     // Default constructor;
diff --git a/src/Tests/TestObjects.cpp b/src/Tests/TestObjects.cpp
index 6062d348..f8da85d6 100644
--- a/src/Tests/TestObjects.cpp
+++ b/src/Tests/TestObjects.cpp
@@ -171,6 +171,7 @@ CoolProp::IncompressibleFluid CoolPropTesting::incompressibleFluidObject(){
 	CoolProp::IncompressibleData T_freeze;
 	T_freeze.type = CoolProp::IncompressibleData::INCOMPRESSIBLE_POLYOFFSET;
 	T_freeze.coeffs = CoolProp::vec_to_eigen(tmpVector);
+	T_freeze.coeffs.transposeInPlace();
 
 	// After preparing the coefficients, we have to create the objects
 	CoolProp::IncompressibleFluid CH3OH;