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.
Important
The project DeePMD-kit is licensed under GNU LGPLv3.0. If you use this code in any future publications, please cite this using Han Wang, Linfeng Zhang, Jiequn Han, and Weinan E. "DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics." Computer Physics Communications 228 (2018): 178-184.
getting-started/index
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Tutorials <https://tutorials.deepmodeling.com/> Publications <https://deepmodeling.com/blog/papers/deepmd-kit/>
development/* api_py/api_py api_op API_CC/api_cc api_core/api_core
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