Autonomous materials synthesis via hierarchical active learning of nonequilibrium phase diagrams-Reference-Cited by-同舟云学术

Autonomous materials synthesis via hierarchical active learning of nonequilibrium phase diagrams

Published:2021-12-17 Issue:51 Volume:7 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Ament Sebastian¹^ORCID,Amsler Maximilian²³^ORCID,Sutherland Duncan R.²^ORCID,Chang Ming-Chiang²^ORCID,Guevarra Dan⁴^ORCID,Connolly Aine B.²,Gregoire John M.⁴^ORCID,Thompson Michael O.²^ORCID,Gomes Carla P.¹^ORCID,van Dover R. Bruce²

Affiliation:

1. Department of Computer Science, Cornell University, Ithaca, NY 14853, USA.

2. Department of Materials Science and Engineering, Cornell University, Ithaca, NY 14853, USA.

3. Department of Chemistry and Biochemistry, University of Bern, Freiestrasse 3, CH-3012 Bern, Switzerland.

4. Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA.

Abstract

Artificial intelligence accelerates the search and discovery of new metastable materials for energy applications.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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