AI Agent Research Hub

Mar 31, 2026 · Artificial Intelligence

Why Do Physics-Informed Neural Networks Often Fail? Try Gradient‑Adaptive Weighted PINNs

Training Physics‑Informed Neural Networks (PINNs) often stalls due to gradient‑flow pathology, but a gradient‑adaptive weighting scheme dramatically rebalances loss contributions, as demonstrated on a nonlinear Klein‑Gordon equation where error drops by 95.5% compared with standard PINNs.