Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems

Dongkun Zhang, Lu Lu, Ling Guo +1

Physics-informed neural networks (PINNs) have recently emerged as an alternative way of solving partial differential equations (PDEs) without the need of building elaborate grids,…