DeePMD-kit v2: A software package for deep potential models
Rutgers, The State University of New Jersey · Quantitative BioSciences · +17 more institutions
Abstract
DeePMD-kit is a powerful open-source software package that facilitates molecular dynamics simulations using machine learning potentials known as Deep Potential (DP) models. This package, which was released in 2017, has been widely used in the fields of physics, chemistry, biology, and material science for studying atomistic systems. The current version of DeePMD-kit offers numerous advanced features, such as DeepPot-SE, attention-based and hybrid descriptors, the ability to fit tensile properties, type embedding, model deviation, DP-range correction, DP long range, graphics processing unit support for customized operators, model compression, non-von Neumann molecular dynamics, and improved usability, including…
Citation impact
- FWCI
- 46.32
- Percentile
- 100%
- References
- 166
Authors
47Topics & keywords
- Computer science
- Usability
- Software
- Computational science
- Documentation
- Graphics
- Embedding
- Range (aeronautics)
Funding
- NSNational Science FoundationAwards: 2209718, 2137603, and 2138296, 2138259, 2138296, 2138307, 2138259, 2138286, 2138307, 2137603, and 2138296, 209718, 2138286
- UDU.S. Department of EnergyAward: DE-SC0019759
- PUPrinceton University
- UOUniversity of Texas at Austin
- RTRutgers, The State University of New Jersey
- SDSan Diego Supercomputer Center
- NNNational Natural Science Foundation of ChinaAwards: 2138296, 12122103, 2137603, 2138307, 2138286, 2138259
- HPHunan Provincial Science and Technology DepartmentAward: 2021RC4026
- ANAgentúra na Podporu Výskumu a VývojaAward: APVV-19-0371
- NFNorges ForskningsrådAwards: Grant No. 262695, 262695
- VGVedecká Grantová Agentúra MŠVVaŠ SR a SAVAward: 1/0640/20
- NINational Institutes of HealthAwards: 2138307, 2138286, 2138296, GM107485, 2137603, 2138259
- DODepartment of Mechanical Engineering, University of Texas at Austin
- OOOffice of Advanced Research Computing, Rutgers, The State University of New Jersey
- NKNational Key Research and Development Program of ChinaAward: 2022YFA1004300
- OOOffice of Advanced CyberinfrastructureAwards: 2209718, 2138286, 2138259, 2137603, 2138307, 2138296
- DODivision of ChemistryAwards: 2138296, 2138307, 2137603, 2138259, 2138286