A Gaussian-based spatially weighted loss formulation for Physics-Informed Neural Networks with Shocks

Kheir-eddine Otmani, Abdelhalim Azzouz, Nourelhouda Groun +1

Physics-informed neural networks (PINNs) often struggle to resolve shocks because smooth neural representations and globally averaged residual losses tend to underemphasize localiz…