When PINNs Go Wrong: Pseudo-Time Stepping Against Spurious Solutions
arXiv:2604.23528v1 Announce Type: new
Abstract: Physics-informed neural networks (PINNs) provide a promising machine learning framework for solving partial differential equations, but their training often breaks down on challenging problems, sometimes…