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  1. PINN PINN Public

    Collection of forward and inverse PINN examples for heat transfer, Allen–Cahn, elasticity, and related PDE problems.

    Python 15 1

  2. PhaseField_PINN-MT PhaseField_PINN-MT Public

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

    Python 10

  3. Fe-Cr_CNN Fe-Cr_CNN Public

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

    Python 8