most citedPhysics-informed neural networks with residual/gradient-based adaptive sampling methods for solving PDEs with sharp solutions

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

math.NA2023★ 5 cited

Physics-informed neural networks with residual/gradient-based adaptive sampling methods for solving PDEs with sharp solutions

Zhiping Mao, Xuhui Meng

We consider solving the forward and inverse PDEs which have sharp solutions using physics-informed neural networks (PINNs) in this work. In particular, to better capture the sharpn…