A recipe for scalable attention-based MLIPs: unlocking long-range accuracy with all-to-all node attention

Fuente: arXiv

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Bibliographic Details
Main Authors:	Qu, Eric, Wood, Brandon M., Krishnapriyan, Aditi S., Ulissi, Zachary W.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Materials Science Computational Engineering, Finance, and Science Chemical Physics Quantitative Methods
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2603.06567