Characteristics of Impactful Machine Learning Contributions to The Journal of Physical Chemistry

Abstract

ADVERTISEMENT RETURN TO ISSUEEditorialNEXTCharacteristics of Impactful Machine Learning Contributions to The Journal of Physical ChemistryAndrew L. Ferguson*Andrew L. FergusonPritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States*[email protected]More by Andrew L. Fergusonhttps://orcid.org/0000-0002-8829-9726 and Jim Pfaendtner*Jim PfaendtnerDepartment of Chemical Engineering, University of Washington, Seattle, Washington 98195, United StatesPhysical Sciences Division, Pacific Northwest National Laboratory, Richmond, Washington 99354, United States*[email protected]More by Jim Pfaendtnerhttps://orcid.org/0000-0001-6727-2957Cite this: J. Phys. Chem. B 2023, 127, 2, 427–429Publication Date (Web):January 19, 2023Publication History Received12 December 2022Published online19 January 2023Published inissue 19 January 2023https://doi.org/10.1021/acs.jpcb.2c08703Copyright © 2023 American Chemical SocietyRIGHTS & PERMISSIONSArticle Views197Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (992 KB) Get e-AlertsSUBJECTS:Computational chemistry,Computational modeling,Machine learning,Neural networks,Physical chemistry Get e-Alerts