FastCHGNet: Training one Universal Interatomic Potential to 1.5 Hours with 32 GPUs

Fuente: arXiv

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Bibliographic Details
Main Authors:	Zhou, Yuanchang, Hu, Siyu, Wang, Chen, Wang, Lin-Wang, Tan, Guangming, Jia, Weile
Format:	Preprint
Published:	2024
Subjects:	Distributed, Parallel, and Cluster Computing Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2412.20796