PyTorch Implementation of Physics-informed Neural Networks

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357

Official code for "DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks" (AAAI 2023)

Non-adaptive and residual-based adaptive sampling for PINNs

Source code for Separable PINN