A library for scientific machine learning and physics-informed learning

gPINN: Gradient-enhanced physics-informed neural networks

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

[NeurIPS 2022] Minimizing L_inf Physics-Informed Loss for PINN with adversarial training

PyTorch Implementation of Physics-informed Neural Networks

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