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Open access Feb 2026

Machine learning of electronic structure and atomistic properties from the external potential.

This work proposes an operator-centric framework in which the external (nuclear) potential, expressed in an AO basis, serves as the model input and builds hierarchical, body-ordered representations of atomic configurations that closely mirror the principles underlying several popular atom-centered descriptors.

Jigyasa Nigam, T. Smidt, G. Dusson · 2 citations