Official implementation of Neural Lithography (SIGGRAPH Asia 2023)
Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
Symbolic regression of physical models via Genetic Programming.
📕Code for paper Parallelizable Complex Neural Dynamics Models for PMSM Temperature Estimation with Hardware Acceleration.
NeedForHat Diagnosis: physics informed machine learning models for the residential energy transition
Main codes for half-cell model, PINN and co-kriging implemented for physics-informed degradation diagnostics project: https://doi.org/10.1016/j.ensm.2024.103343
iHealth workshop about applications of physics-informed neural networks (PINNs)
Short review of Physics-Informed ML/DL
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