AI Agent Research Hub
Feb 24, 2026 · Artificial Intelligence
Why PINNs Training Fails: Diagnosing and Fixing Gradient Pathologies
The article explains that physics‑informed neural networks often stall because the PDE residual loss dominates the boundary‑condition loss, causing severe gradient imbalance, and presents two remedies—an adaptive loss‑weighting scheme and a modified fully‑connected architecture—that together can improve prediction accuracy by up to two orders of magnitude.
PDEPINNsadaptive loss weighting
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