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Enriched Holomorphic Neural Networks for 2D and 3D Laplace Problems

arXiv cs.LG ↗ · 2026-10-12 Cached

A University of Amsterdam paper proposes enriched holomorphic neural networks that are harmonic by construction, combining trainable singular functions derived from local geometry with boundary-only fitting to solve 2D and 3D Laplace problems. The enriched model outperforms all tested methods, with orders-of-magnitude gains where singularities are captured exactly.

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