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Université Marie et Louis Pasteur, CNRS, LmB (UMR 6623), F-25000 Besançon, France
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Ditch the geometry-to-property map: this work uses the external potential as the primary input for machine learning models, unlocking a scalable and equivariant approach to predicting electronic structure.
