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The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

DeePMD-kit v2: A software package for deep potential models

Open access
Zeng, Jinzhe, Zhang, Duo, Lu, Denghui, Mo, Pinghui, Li, Zeyu, Chen, Yixiao, Rynik, Marián, Huang, Li’ang, Li, Ziyao, Shi, Shaochen, Wang, Yingze, Ye, Haotian, Tuo, Ping, Yang, Jiabin, Ding, Ye, Li, Yifan, Tisi, Davide, Zeng, Qiyu, Bao, Han, Xia, Yu, Huang, Jiameng, Muraoka, Koki, Wang, Yibo, Chang, Junhan, Yuan, Fengbo, Bore, Sigbjørn Løland, Cai, Chun, Lin, Yinnian, Wang, Bo, Xu, Jiayan, Zhu, Jia-Xin, Luo, Chenxing, Zhang, Yuzhi, Goodall, Rhys E. A., Liang, Wenshuo, Singh, Anurag Kumar, Yao, Sikai, Zhang, Jingchao, Wentzcovitch, Renata, Han, Jiequn, Liu, Jie, Jia, Weile, York, Darrin M., E, Weinan, Car, Roberto, Zhang, Linfeng, Wang, Han·2023·The Journal of Chemical Physics

Abstract

DeePMD-kit is a powerful open-source software package that facilitates molecular dynamics simulations using machine learning potentials known as Deep Potential (DP) models. This package, which was released in 2017, has been widely used in the fields of physics, chemistry, biology, and material science for studying atomistic systems. The current version of DeePMD-kit offers numerous advanced features, such as DeepPot-SE, attention-based and hybrid descriptors, the ability to fit tensile properties, type embedding, model deviation, DP-range correction, DP long range, graphics processing unit support for customized operators, model compression, non-von Neumann molecular dynamics, and improved usability, including documentation, compiled binary packages, graphical user interfaces, and application programming interfaces. This article presents an overview of the current major version of the DeePMD-kit package, highlighting its features and technical details. Additionally, this article presents a comprehensive procedure for conducting molecular dynamics as a representative application, benchmarks the accuracy and efficiency of different models, and discusses ongoing developments.

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Crossref · 10.1063/5.0155600

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Metadata

Authors
Zeng, J., Zhang, D., Lu, D., Mo, P., Li, Z., Chen, Y., Rynik, M., Huang, L., Li, Z., Shi, S., Wang, Y., Ye, H., Tuo, P., Yang, J., Ding, Y., Li, Y., Tisi, D., Zeng, Q., Bao, H., Xia, Y., Huang, J., Muraoka, K., Wang, Y., Chang, J., Yuan, F., Bore, S. L., Cai, C., Lin, Y., Wang, B., Xu, J., Zhu, J.-X., Luo, C., Zhang, Y., Goodall, R. E. A., Liang, W., Singh, A. K., Yao, S., Zhang, J., Wentzcovitch, R., Han, J., Liu, J., Jia, W., York, D. M., E, W., Car, R., Zhang, L., & Wang, H.
Venue
The Journal of Chemical Physics
Published
2023-08-01
Volume
159
Issue
5
ISSN
  • 0021-9606 (ISSN-L)
  • 1089-7690
OpenAlex
W4383995031
Cited by
614
References
13
FWCI
43.20
Type
journal article
Language
en
Open access
bronze

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