Author

S. S. Menon

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#machine learning Preprint Sep 2026

Tackling Failure Modes of PINNs and PIKANs Using Conflict-Free Gradients

Norm-PCGrad is proposed, a normalized variant that achieves state-of-the-art accuracy across a range of 2D and 3D domain decomposition problems and demonstrates that gradient surgery extends to physics-informed Kolmogorov-Arnold Networks, yielding substantial accuracy improvements for 3D domain decomposition.

S. S. Menon, Irina Tezaur, Ameya D. Jagtap · 2 citations