Chebyshev-Augmented One-Shot Transfer Learning for PINNs on Nonlinear Differential Equations
arXiv:2605.01634v1 Announce Type: new
Abstract: Physics-Informed Neural Networks (PINNs) offer a flexible paradigm for solving differential equations by embedding governing laws into the training objective. A persistent limitation is instance specific…