Advancing Discovery in Chemistry with Artificial Intelligence: From Reaction Outcomes to New Materials and Catalysts

Abstract

RETURN TO ISSUEEditorialNEXTAdvancing Discovery in Chemistry with Artificial Intelligence: From Reaction Outcomes to New Materials and CatalystsHeather J. Kulik*Heather J. KulikMassachusetts Institute of TechnologyMore by Heather J. Kulikhttp://orcid.org/0000-0001-9342-0191 and Matthew S. SigmanMatthew S. SigmanUniversity of UtahMore by Matthew S. Sigmanhttp://orcid.org/0000-0002-5746-8830Cite this: Acc. Chem. Res. 2021, 54, 10, 2335–2336Publication Date (Web):May 18, 2021Publication History Published online18 May 2021Published inissue 18 May 2021https://doi.org/10.1021/acs.accounts.1c00232Copyright © Published 2021 by American Chemical SocietyRIGHTS & PERMISSIONSArticle Views2436Altmetric-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 (614 KB) Get e-AlertsSUBJECTS:Catalysts,Computational modeling,Machine learning,Materials,Molecules Get e-Alerts