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A universal augmentation framework for long-range electrostatics in machine learning interatomic potentials

Fuente: arXiv

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Bibliographische Detailangaben
Hauptverfasser:	Kim, Dongjin, Wang, Xiaoyu, Zhong, Peichen, King, Daniel S., Inizan, Theo Jaffrelot, Cheng, Bingqing
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Chemical Physics Machine Learning Computational Physics
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

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