Björn Malte List

INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers

When simulating partial differential equations, hybrid solvers combine coarse numerical solvers with learned correctors. They promise accelerated simulations while adhering to physical constraints. However, as shown in our theoretical framework, directly applying learned corrections to solver output…