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DeePMD-kit is a package written in Python/C++, designed to minimize the effort required to build deep learning-based model of interatomic potential energy and force field and to perform molecular dynamics (MD). This brings new hopes to addressing the accuracy-versus-efficiency dilemma in molecular simulations. Applications of DeePMD-kit span from finite molecules to extended systems and from metallic systems to chemically bonded systems.
先决条件 (Prerequisites)
我已确认这个镜像源从未在 其他 issues 中讨论过。
I have checked that this repository has not been discussed in other issues.
我已仔细阅读 请求新镜像前必读。
I have CAREFULLY read the mirroring rules.
项目介绍 (Project introduction)
DeePMD-kit is a package written in Python/C++, designed to minimize the effort required to build deep learning-based model of interatomic potential energy and force field and to perform molecular dynamics (MD). This brings new hopes to addressing the accuracy-versus-efficiency dilemma in molecular simulations. Applications of DeePMD-kit span from finite molecules to extended systems and from metallic systems to chemically bonded systems.
https://github.com/deepmodeling/deepmd-kit
GitHub releases提供了离线安装包。
上游地址与镜像方法 (Upstream & mirroring method)
https://github.com/deepmodeling/deepmd-kit/releases/tag/v3.0.1
GitHub Releases。可以只镜像最新版本。
镜像大小 (Mirror size)
每个版本约5 GB
备注 (Note)
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