More Consistent Accuracy PINN via Alternating Easy-Hard Training

Zhaoqian Gao, Min Yanga

Physics-informed neural networks (PINNs) have recently emerged as a prominent paradigm for solving partial differential equations (PDEs), yet their training strategies remain under…