arxiv
PublishedJune 1, 2026 at 4:00 AM
A holomorphic neural network framework for 3D boundary value problems governed by harmonic potentials
Publisher summary· verbatim
arXiv:2605.31231v1 Announce Type: cross Abstract: We present a neural-network-based framework for the solution of three-dimensional boundary value problems where the solution is expressible in terms of harmonic potentials. The approach leverages the Whittaker integral formula, which allows represent
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivBridging the Gap: Converting Read Text to Conversational Dialogue1harxivTruth for Believable AI: Expressed Doubt, Provenance, and Belief Revision as an Engineerable Stance1harxivRICE-Alpha: Reliability-Informed Correction with Event Graphs for LLM-Agent Stock Forecasting1harxivWitness Overlap: Directional Provenance Inside Open-Weight Model Families1hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗