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DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models

Computer Physics Communications · 2020 · Vol. 253 · pp. 107206–107206
Yuzhi ZhangHaidi WangHaidi WangWeijie ChenJinzhe ZengLinfeng ZhangHan WangHan WangE Weinan
Machine Learning in Materials ScienceNuclear Physics and ApplicationsNuclear Materials and PropertiesDeep learningComputer scienceArtificial intelligenceEnergy (signal processing)PhysicsQuantum mechanics

Funding

  • U.S. Department of Energy
  • National Natural Science Foundation of China
  • Office of Naval Research
Citations
829
FWCI
23.28
field-weighted impact
References
38
Percentile
100%
vs. same field & year
Citations per year
References
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Generalized Gradient Approximation Made Simple
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Fast Parallel Algorithms for Short-Range Molecular Dynamics
Journal of Computational Physics · 1995 · 43,820 citations
Modified embedded-atom potentials for cubic materials and impurities
Physical review. B, Condensed matter · 1992 · 2,025 citations
Special points for Brillouin-zone integrations
Physical review. B, Solid state · 1976 · 68,828 citations
Unified Approach for Molecular Dynamics and Density-Functional Theory
Physical Review Letters · 1985 · 10,613 citations
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