On-the-fly closed-loop materials discovery via Bayesian active learning.

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Title: On-the-fly closed-loop materials discovery via Bayesian active learning.
Authors: Kusne AG; Materials Measurement Science Division, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA. aaron.kusne@nist.gov.; Materials Science and Engineering Department, University of Maryland, College Park, MD, 20742, USA. aaron.kusne@nist.gov., Yu H; Materials Science and Engineering Department, University of Maryland, College Park, MD, 20742, USA., Wu C; Electrical & Computer Engineering Department, University of Washington, Seattle, WA, 98195, USA., Zhang H; Materials Science and Engineering Division, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA.; Theiss Research, Inc., La Jolla, CA, 92037, USA., Hattrick-Simpers J; Materials Measurement Science Division, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA., DeCost B; Materials Measurement Science Division, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA., Sarker S; Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA, 94025, USA., Oses C; Mechanical Engineering and Materials Science Department and Center for Autonomous Materials Design, Duke University, Durham, NC, 27708, USA., Toher C; Mechanical Engineering and Materials Science Department and Center for Autonomous Materials Design, Duke University, Durham, NC, 27708, USA., Curtarolo S; Mechanical Engineering and Materials Science Department and Center for Autonomous Materials Design, Duke University, Durham, NC, 27708, USA., Davydov AV; Materials Science and Engineering Division, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA., Agarwal R; Materials Science and Engineering Department, University of Pennsylvania, Philadelphia, PA, 19104, USA., Bendersky LA; Materials Science and Engineering Division, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA.; Theiss Research, Inc., La Jolla, CA, 92037, USA., Li M; Electrical & Computer Engineering Department, University of Washington, Seattle, WA, 98195, USA., Mehta A; Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA, 94025, USA., Takeuchi I; Materials Science and Engineering Department, University of Maryland, College Park, MD, 20742, USA. takeuchi@umd.edu.; Maryland Quantum Materials Center, University of Maryland, College Park, MD, 20742, USA. takeuchi@umd.edu.
Source: Nature communications [Nat Commun] 2020 Nov 24; Vol. 11 (1), pp. 5966. Date of Electronic Publication: 2020 Nov 24.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2041-1723
DOI:10.1038/s41467-020-19597-w