Diagnosing Failure Modes of Neural Operators Across Diverse PDE Families
arXiv:2601.11428v5 Announce Type: replace
Abstract: Neural PDE solvers are increasingly used as learned surrogates for families of partial differential equations, where the key machine learning challenge is not only interpolation on a fixed benchmark …