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DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials

Fuente: arXiv
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Bibliographic Details
Main Authors: Zeng, Jinzhe, Zhang, Duo, Peng, Anyang, Zhang, Xiangyu, He, Sensen, Wang, Yan, Liu, Xinzijian, Bi, Hangrui, Li, Yifan, Cai, Chun, Zhang, Chengqian, Du, Yiming, Zhu, Jia-Xin, Mo, Pinghui, Huang, Zhengtao, Zeng, Qiyu, Shi, Shaochen, Qin, Xuejian, Yu, Zhaoxi, Luo, Chenxing, Ding, Ye, Liu, Yun-Pei, Shi, Ruosong, Wang, Zhenyu, Bore, Sigbjørn Løland, Chang, Junhan, Deng, Zhe, Ding, Zhaohan, Han, Siyuan, Jiang, Wanrun, Ke, Guolin, Liu, Zhaoqing, Lu, Denghui, Muraoka, Koki, Oliaei, Hananeh, Singh, Anurag Kumar, Que, Haohui, Xu, Weihong, Xu, Zhangmancang, Zhuang, Yong-Bin, Dai, Jiayu, Giese, Timothy J., Jia, Weile, Xu, Ben, York, Darrin M., Zhang, Linfeng, Wang, Han
Format: Preprint
Published: 2025
Subjects:
Chemical Physics
Online Access:
Acceder al recurso
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