Nils Thuerey

We propose the Indirect Neural Corrector (INC) for hybrid PDE solvers, integrating corrections into PDEs to reduce errors, enable long-term rollouts, and speed-up chaotic/turbulent systems.

We show that neural operators/neural emulators/neural simulators can outperform the numerical method that produced their training data.