Han-Ran Song

Two-stage projection physics-informed neural networks for preserving conservation laws

Physics-informed neural networks (PINNs) can attain small residuals for partial differential equations while drifting from global invariants. We separate residual-based training from invariant enforcement: a standard PINN is trained first, and its output is then projected onto a selected invariant manifold at inference...