.. deepmd-kit documentation master file, created by sphinx-quickstart on Sat Nov 21 18:36:24 2020. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. ========================== DeePMD-kit's documentation ========================== 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: .. toctree:: :maxdepth: 3 :caption: Getting Started getting-started/index .. _advanced: .. toctree:: :maxdepth: 3 :numbered: :caption: Advanced install/index data/index model/index train/index freeze/index test/index inference/index cli third-party/index nvnmd/index troubleshooting/index .. _tutorial: .. toctree:: :maxdepth: 2 :caption: Tutorial :glob: Tutorials Publications .. _developer-guide: .. toctree:: :maxdepth: 5 :caption: Developer Guide :glob: development/* api_py/api_py api_op API_CC/api_cc api_core/api_core .. _project-details: .. toctree:: :maxdepth: 3 :caption: Project Details license credits * :ref:`genindex` * :ref:`modindex` * :ref:`search` .. _feedback: .. _affiliated packages: