Lightweight Geometric Adaptation for Training Physics-Informed Neural Networks
arXiv:2604.15392v1 Announce Type: cross
Abstract: Physics-Informed Neural Networks (PINNs) often suffer from slow convergence, training instability, and reduced accuracy on challenging partial differential equations due to the anisotropic and rapidly …