HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs
arXiv:2605.00820v1 Announce Type: cross
Abstract: We introduce HyCOP, a modular framework that learns parametric PDE solution operators by composing simple modules (advection, diffusion, learned closures, boundary handling) in a query-conditioned way….