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GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations
Research article (The Journal of Chemical Physics, 2022) · cited 390× · AI/ML
GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations
Summary
GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations is a scholarly article[1].
Key Facts
GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations. Retrieved May 24, 2026, from https://4ort.xyz/entity/gpumd-a-package-for-constructing-accurate-machine-learned-potentials-and-performing-highly-efficient-atomistic-simulatio
MLA“GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gpumd-a-package-for-constructing-accurate-machine-learned-potentials-and-performing-highly-efficient-atomistic-simulatio.
BibTeX@misc{4ortxyz_gpumd-a-package-for-constructing-accurate-machine-learned-potentials-and-performing-highly-efficient-atomistic-simulatio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations}}, year = {2026}, url = {https://4ort.xyz/entity/gpumd-a-package-for-constructing-accurate-machine-learned-potentials-and-performing-highly-efficient-atomistic-simulatio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations — https://4ort.xyz/entity/gpumd-a-package-for-constructing-accurate-machine-learned-potentials-and-performing-highly-efficient-atomistic-simulatio (retrieved 2026-05-24)
