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phase-field-modeling

Here are 2 public repositories matching this topic...

AsfandyarKhan72 / PhaseField_PINN-MT

Physics-informed neural networks (PINNs) for forward simulation and inverse parameter estimation in 2D martensitic phase transformations.

pytorch inverse-problems phase-field scientific-machine-learning physics-informed-learning computational-materials-science physics-informed-neural-networks deepxde materials-science-simulations phase-field-modeling martensitic-transformation

Updated Apr 28, 2026
Python

AsfandyarKhan72 / Fe-Cr_CNN

Simulation-informed deep learning for estimating phase-field parameters from FeCr spinodal microstructures.

deep-neural-networks deep-learning convolutional-neural-networks parameter-estimation inverse-problems computational-modeling scientific-machine-learning spinodal-decomposition phase-field-modeling

Updated Apr 29, 2026
Python

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