Multitask learning with semiempirical orbital charges enables sample-efficient MLIPs

Fuente: arXiv

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Bibliographic Details
Main Authors:	Neporozhnii, Ihor, Hoogland, Sjoerd, Voznyy, Oleksandr
Format:	Preprint
Published:	2026
Subjects:	Chemical Physics Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2605.24073