GAC-PINN: Geometry-Adaptive and Constraint-Enhanced Physics-Informed Neural Networks.

arXiv:2609.35196v1 Announce Type: cross Abstract: For systems with steep gradients, sharp interfaces, or severe spatio-temporal coupling, Physics-informed neural networks (PINNs) suffer from spectral bias, geometric inflexibility, and boundary constraint confl