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Natural language processing models that automate programming will transform chemistry research and teaching

Digital Discovery(2022)10.1039/d1dd00009hSource: DataRank Database

Natural language processing models that automate programming will transform chemistry research and teaching is a research paper published in Digital Discovery (2022). On theSindex it has a DataRank of 0. It has been cited 64 times.

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Open Access64 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)OA: goldTopics (9)IDs (PubMed, PMC)Annotations (1)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Andrew Dickson White ORCID,Glen M. Hocky ORCID

Live enrichment

PubMed:35515080 PMC:PMC8996826

National Institute of General Medical Sciences

Grant: R35GM137966

National Institute of General Medical Sciences

Grant: R35GM138312

National Institutes of Health

Grant: 5R35GM137966-02

Learning to learn in structural biology with deep neural networks

National Institutes of Health

Grant: 5R35GM138312-02

Harnessing simulations to uncover molecular mechanisms of mechanosensing

National Institutes of Health

Grant: 5R35GM138312-05

Harnessing simulations to uncover molecular mechanisms of mechanosensing

goldLicense: cc-by

publisherhttps://pubs.rsc.org/en/content/articlepdf/2022/dd/d1dd00009h

publisherhttp://pubs.rsc.org/en/content/articlepdf/2022/DD/D1DD00009H

repositoryhttps://arxiv.org/pdf/2108.13360

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8996826

Europe_PMChttps://europepmc.org/articles/PMC8996826

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Chemical Physics (physics.chem-ph)ChemistryStatistical Mechanics (cond-mat.stat-mech)Physics - Chemical PhysicsFOS: Physical sciencesCondensed Matter - Statistical Mechanics

Natural language processing models that automate programming will transform chemistry research and teaching

FAIR Checklist

Authors (2)

Funding (5 grants)

Open Access

Topics

Annotations (Europe PMC)