Learning the action for long-time-step simulations of molecular dynamics

Fuente: arXiv

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Bibliographic Details
Main Authors:	Bigi, Filippo, Spies, Johannes, Ceriotti, Michele
Format:	Preprint
Published:	2025
Subjects:	Chemical Physics Materials Science Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2508.01068