harmonic-functions

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.