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Creating a custom model in pycalphad
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from pycalphad import Database, Model, calculate | |
import pycalphad.variables as v | |
import numpy as np | |
import sympy | |
dbf = Database('NI_AL_DUPIN_2001.TDB') | |
class NewModel(Model): | |
def build_phase(self, dbe, phase_name, symbols, param_search): | |
self.models['test'] = -13000*v.T*v.R*v.Y(phase_name, 0, 'AL')*v.Y(phase_name, 0, 'NI') | |
bubbles = property(lambda self: self.models['test'] / 10) | |
# pycalphad needs custom properties to be defined for all phases, at the moment | |
# Maybe 'bubbles' has no meaning for FCC, so we return NaN | |
class FCCModel(Model): | |
# Constant values need to be wrapped in sympy.S() so they are made symbolic | |
bubbles = property(lambda self: sympy.S(np.nan)) | |
result = calculate(dbf, ['AL', 'NI', 'VA'], ['LIQUID', 'FCC_L12'], model={'LIQUID': NewModel, 'FCC_L12': FCCModel}, | |
output='bubbles', T=1500, P=101325, points={'LIQUID': [[0.9, 0.1], [0.2, 0.8]], | |
'FCC_L12': [[0.2, 0.8, 0.2, 0.8, 1], [0.4, 0.6, 0.6, 0.4, 1]]}) | |
print(result['bubbles'].values[np.nonzero(result.Phase.values == 'LIQUID')]) | |
print(result['bubbles'].values[np.nonzero(result.Phase.values == 'FCC_L12')]) |
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