Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems

Jeremy Yu, Lu Lu, Xuhui Meng +1

Deep learning has been shown to be an effective tool in solving partial differential equations (PDEs) through physics-informed neural networks (PINNs). PINNs embed the PDE residual…