Virtual Issue on Machine-Learning Discoveries in Materials Science

ADVERTISEMENT RETURN TO ISSUEPREVEditorialNEXTVirtual Issue on Machine-Learning Discoveries in Materials ScienceAnton O. OliynykAnton O. OliynykManhattan College, Riverdale, New York, United StatesMore by Anton O. Oliynykhttp://orcid.org/0000-0003-0732-7340 and Jillian M. BuriakJillian M. BuriakUniversity of Alberta, Edmonton, Alberta, CanadaMore by Jillian M. Buriakhttp://orcid.org/0000-0002-9567-4328Cite this: Chem. Mater. 2019, 31, 20, 8243–8247Publication Date (Web):October 22, 2019Publication History Published online22 October 2019Published inissue 22 October 2019https://doi.org/10.1021/acs.chemmater.9b03854Copyright © 2019 American Chemical SocietyRIGHTS & PERMISSIONSArticle Views5153Altmetric-Citations17LEARN 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 (2 MB) Get e-AlertsSUBJECTS:Electrical conductivity,Machine learning,Materials,Optimization,Thermoelectric materials Get e-Alerts