Physics-Informed Neural Networks

Paper

Is L2 Physics-Informed Loss Always Suitable for Training Physics-Informed Neural Network?

paper

Physics-informed neural operator for learning partial differential equations Zongyi Li, Hongkai Zheng, Nikola Kovachki, David Jin, Haoxuan Chen, Burigede Liu, Kamyar Azizzadenesheli, Anima Anandkumar arXiv

Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control arxiv

DeepXDE github documentation