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Open Molecular Software Foundation

1 paper here33 citations across 1
fields
  • physics.chem-ph1
ROR 02en65a92OpenAlex

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most citedOn the design space between molecular mechanics and machine learning force fields

33 citations

researchers with a paper here
  • Arnav Nagle1 · h 3
  • Daniel J. Cole1 · h 3
  • Joe G Greener1 · h 3
  • John Z. H. Zhang1 · h 4
  • Joshua A. Rackers1 · h 14
  • K. Takaba1 · h 7
  • Kuang Yu1 · h 5
  • Kyunghyun Cho1 · h 2
  • Marcus Wieder1 · h 2
  • Michael S. Chen1 · h 8
  • M. Tuckerman1 · h 75
  • Peter K. Eastman1 · h 2
collaborating institutions
  • Asahi Kasei (Japan)JP1 paper
  • Courant Institute of Mathematical SciencesUS1 paper
  • Medical Research CouncilGB1 paper
  • MRC Laboratory of Molecular BiologyGB1 paper
  • Newcastle UniversityGB1 paper
  • New York UniversityUS1 paper
  • New York University ShanghaiCN1 paper
  • Open Geospatial ConsortiumUS1 paper
  • Shenzhen Technology UniversityCN1 paper
  • Shenzhen UniversityCN1 paper
  • SP Technology (South Korea)KR1 paper
  • Stanford UniversityUS1 paper

1 paper

physics.chem-ph2024★ 33 cited

On the design space between molecular mechanics and machine learning force fields

Yuanqing Wang, Kenichiro Takaba, Michael S. Chen +14

A force field as accurate as quantum mechanics (QM) and as fast as molecular mechanics (MM), with which one can simulate a biomolecular system efficiently enough and meaningfully e…

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