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Quantifying Hydroxyl Adsorption on Copper with Electrochemical-Aware Random Phase Approximation.

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Title: Quantifying Hydroxyl Adsorption on Copper with Electrochemical-Aware Random Phase Approximation.
Authors: Cheng D; Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, California 90095, United States., Chen D; Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, California 90095, United States., Liu QY; Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, California 90095, United States., Wei Z; Department of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, United States.; Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, New Jersey 08544, United States., Sautet P; Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, California 90095, United States.; Department of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, United States.; California NanoSystems Institute, Los Angeles, California 90095, United States.
Source: Journal of chemical theory and computation [J Chem Theory Comput] 2026 Jun 09; Vol. 22 (11), pp. 5731-5741. Date of Electronic Publication: 2026 May 21.
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: <searchLink fieldCode="AU" term="%22Cheng+D%22">Cheng D</searchLink>; Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, California 90095, United States.<br /><searchLink fieldCode="AU" term="%22Chen+D%22">Chen D</searchLink>; Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, California 90095, United States.<br /><searchLink fieldCode="AU" term="%22Liu+QY%22">Liu QY</searchLink>; Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, California 90095, United States.<br /><searchLink fieldCode="AU" term="%22Wei+Z%22">Wei Z</searchLink>; Department of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, United States.; Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, New Jersey 08544, United States.<br /><searchLink fieldCode="AU" term="%22Sautet+P%22">Sautet P</searchLink>; Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, California 90095, United States.; Department of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, United States.; California NanoSystems Institute, Los Angeles, California 90095, United States.
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  Data: <searchLink fieldCode="JN" term="%22101232704%22">Journal of chemical theory and computation</searchLink> [J Chem Theory Comput] 2026 Jun 09; Vol. 22 (11), pp. 5731-5741. <i>Date of Electronic Publication: </i>2026 May 21.
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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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        Value: 10.1021/acs.jctc.6c00353
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      – Code: eng
        Text: English
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              Text: 2026 Jun 09
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