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Merge pull request #377 from njzjz/patch-1
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README.md

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## About DP-GEN
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[![GitHub release](https://img.shields.io/github/release/deepmodeling/dpgen.svg?maxAge=86400)](https://github.com/deepmodeling/dpgen/releases/)
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[![doi:10.1016/j.cpc.2020.107206](https://zenodo.org/badge/DOI/10.1016/j.cpc.2020.107206.svg)](https://doi.org/10.1016/j.cpc.2020.107206)
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[![doi:10.1016/j.cpc.2020.107206](https://img.shields.io/badge/DOI-10.1016%2Fj.cpc.2020.107206-blue)](https://doi.org/10.1016/j.cpc.2020.107206)
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[![conda install](https://img.shields.io/conda/dn/conda-forge/dpgen?label=conda%20install)](https://anaconda.org/conda-forge/dpgen)
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[![pip install](https://img.shields.io/pypi/dm/dpgen?label=pip%20install)](https://pypi.org/project/dpgen)
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DP-GEN (Deep Generator) is a software written in Python, delicately designed to generate a deep learning based model of interatomic potential energy and force field. DP-GEN is depedent on DeepMD-kit (https://github.com/deepmodeling/deepmd-kit/blob/master/README.md). With highly scalable interface with common softwares for molecular simulation, DP-GEN is capable to automatically prepare scripts and maintain job queues on HPC machines (High Performance Cluster) and analyze results.
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