Efficient Discrete Physics-informed Neural Networks for Addressing Evolutionary Partial Differential Equations

Siqi Chen, Bin Shan, Ye Li

Physics-informed neural networks (PINNs) have shown promising potential for solving partial differential equations (PDEs) using deep learning. However, PINNs face training difficul…