Combining physics-informed graph neural network and finite difference for solving forward and inverse spatiotemporal PDEs

Hao Zhang, Longxiang Jiang, Xinkun Chu +4

The great success of Physics-Informed Neural Networks (PINN) in solving partial differential equations (PDEs) has significantly advanced our simulation and understanding of complex…