Derived Fields Increase the Recoverable Information in Budgeted Neural PDE Surrogate.

arXiv:2603.29224v2 Announce Type: replace-cross Abstract: For neural surrogates of time-dependent partial differential equations (PDEs), storage and memory budgets require training data to be obtained by coarsening and quantizing very-high-resolution numerical