Physics-Informed Foresight Pruning for Sparse PINN Solvers of Nonlinear PDEs

Ahmad Ishaque Karimi, Uvini Balasuriya Mudiyanselage, Kookjin Lee

Physics-informed neural networks (PINNs) often rely on over-parameterized models to optimize coupled solution and differential-residual objectives, leaving unclear how much capacit…