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Machine Learning-Enabled Development of Accurate Force Fields for Refrigerants.

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Title: Machine Learning-Enabled Development of Accurate Force Fields for Refrigerants.
Authors: Wang N; Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States., Carlozo MN; Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States., Marin-Rimoldi E; Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States., Befort BJ; Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States., Dowling AW; Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States., Maginn EJ; Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.
Source: Journal of chemical theory and computation [J Chem Theory Comput] 2023 Jul 25; Vol. 19 (14), pp. 4546-4558. Date of Electronic Publication: 2023 Jun 12.
Publication Type: Journal Article
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 101232704 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1549-9626 (Electronic) Linking ISSN: 15499618 NLM ISO Abbreviation: J Chem Theory Comput Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: Machine Learning-Enabled Development of Accurate Force Fields for Refrigerants.
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  Data: <searchLink fieldCode="AU" term="%22Wang+N%22">Wang N</searchLink>; Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.<br /><searchLink fieldCode="AU" term="%22Carlozo+MN%22">Carlozo MN</searchLink>; Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.<br /><searchLink fieldCode="AU" term="%22Marin-Rimoldi+E%22">Marin-Rimoldi E</searchLink>; Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.<br /><searchLink fieldCode="AU" term="%22Befort+BJ%22">Befort BJ</searchLink>; Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.<br /><searchLink fieldCode="AU" term="%22Dowling+AW%22">Dowling AW</searchLink>; Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.<br /><searchLink fieldCode="AU" term="%22Maginn+EJ%22">Maginn EJ</searchLink>; Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.
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  Data: <searchLink fieldCode="JN" term="%22101232704%22">Journal of chemical theory and computation</searchLink> [J Chem Theory Comput] 2023 Jul 25; Vol. 19 (14), pp. 4546-4558. <i>Date of Electronic Publication: </i>2023 Jun 12.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Chemical+Society%22">American Chemical Society </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101232704 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1549-9626 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215499618%22">15499618 </searchLink><i>NLM ISO Abbreviation: </i>J Chem Theory Comput <i>Subsets: </i>MEDLINE; PubMed not MEDLINE
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      – Type: doi
        Value: 10.1021/acs.jctc.3c00338
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      – Code: eng
        Text: English
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        StartPage: 4546
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      – TitleFull: Machine Learning-Enabled Development of Accurate Force Fields for Refrigerants.
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            – D: 25
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              Text: 2023 Jul 25
              Type: published
              Y: 2023
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              Value: 14
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            – TitleFull: Journal of chemical theory and computation
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