Five High-Impact Research Areas in Machine Learning for Materials Science

ADVERTISEMENT RETURN TO ISSUEEditorialNEXTFive High-Impact Research Areas in Machine Learning for Materials ScienceBryce Meredig*Bryce MeredigCitrine Informatics, Redwood City, California 94063, United States*E-mail: [email protected]More by Bryce MeredigCite this: Chem. Mater. 2019, 31, 23, 9579–9581Publication Date (Web):December 10, 2019Publication History Published online10 December 2019Published inissue 10 December 2019https://doi.org/10.1021/acs.chemmater.9b04078Copyright © 2019 American Chemical SocietyRIGHTS & PERMISSIONSArticle Views22845Altmetric-Citations34LEARN 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 (242 KB) Get e-AlertsSUBJECTS:Machine learning,Material properties,Materials,Materials science Get e-Alerts