A Residual Guided strategy with Generative Adversarial Networks in training Physics-Informed Transformer Networks
arXiv:2508.00855v2 Announce Type: replace
Abstract: Nonlinear partial differential equations (PDEs) are pivotal in modeling complex physical systems, yet traditional Physics-Informed Neural Networks (PINNs) often struggle with unresolved residuals in …