NucleoNet: A Nuclear-Aware Determinant Ansatz for Multi-Geometry Neural Variational Monte Carlo

Name: NucleoNet: A Nuclear-Aware Determinant Ansatz for Multi-Geometry Neural Variational Monte Carlo
Uploaded: 2026-10-19T04:06:07.902718+00:00
Duration: 555 s
Description: NucleoNet introduces a nuclear-aware determinant ansatz for Neural Variational Monte Carlo that allows a single model to accurately describe geometries across different potential energy surfaces. It achieves this by jointly evolving electronic and nuclear representations through a shared backbone, resulting in high accuracy with fewer parameters than existing methods.

NucleoNet introduces a nuclear-aware determinant ansatz for Neural Variational Monte Carlo that allows a single model to accurately describe geometries across different potential energy surfaces. It achieves this by jointly evolving electronic and nuclear representations through a shared backbone, resulting in high accuracy with fewer parameters than existing methods.

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