NNP/MM: Accelerating Molecular Dynamics Simulations with Machine Learning Potentials and Molecular Mechanics is a research paper published in Journal of Chemical Information and Modeling (2023). On theSindex it has a DataRank of 0. It has been cited 92 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Agencia Estatal de Investigaci?n
Grant: PTQ-17-09078 / AEI / 10.13039/501100011033
Ministerio de Ciencia e Innovaci?n
Grant: PID2020-116564GB-I00
Chan Zuckerberg Initiative
Grant: 2020-219414
Horizon 2020 Framework Programme
Grant: 823712
A Centre of Excellence in Computational Biomedicine
National Institute of General Medical Sciences
Grant: GM140090
NCI NIH HHS
Grant: P30 CA008748
NIGMS NIH HHS
Grant: R01 GM140090
National Institutes of Health
Grant: 5R01GM140090-02
OpenMM: Scalable biomolecular modeling, simulation, and machine learning
Departament d'Empresa i Coneixement, Generalitat de Catalunya
FWCI
7.32
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords