Autonomous, multiproperty-driven molecular discovery: From predictions to measurements and back.

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Title: Autonomous, multiproperty-driven molecular discovery: From predictions to measurements and back.
Authors: Koscher BA; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Canty RB; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., McDonald MA; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Greenman KP; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., McGill CJ; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Bilodeau CL; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Jin W; Broad Institute of MIT and Harvard, Cambridge, MA, USA., Wu H; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Vermeire FH; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Jin B; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Hart T; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Kulesza T; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Li SC; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Jaakkola TS; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA., Barzilay R; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA., Gómez-Bombarelli R; Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Green WH; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Jensen KF; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Source: Science (New York, N.Y.) [Science] 2023 Dec 22; Vol. 382 (6677), pp. eadi1407. Date of Electronic Publication: 2023 Dec 22.
Publication Type: Journal Article
Journal Info: Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 0404511 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9203 (Electronic) Linking ISSN: 00368075 NLM ISO Abbreviation: Science Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1095-9203
DOI:10.1126/science.adi1407