Machine Learning Guided Synthesis of Multinary Chevrel Phase Chalcogenides-Reference-Cited by-同舟云学术

Machine Learning Guided Synthesis of Multinary Chevrel Phase Chalcogenides

Published:2021-06-10 Issue:24 Volume:143 Page:9113-9122
ISSN:0002-7863
Container-title:Journal of the American Chemical Society
language:en
Short-container-title:J. Am. Chem. Soc.

Author:

Singstock Nicholas R.¹^ORCID,Ortiz-Rodríguez Jessica C.²,Perryman Joseph T.²,Sutton Christopher³,Velázquez Jesús M.²^ORCID,Musgrave Charles B.¹⁴⁵^ORCID

Affiliation:

1. Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, Colorado 80303, United States

2. Department of Chemistry, University of California Davis, Davis, California 95616, United States

3. Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States

4. Materials Science and Engineering Program, University of Colorado Boulder, Boulder, Colorado 80303, United States

5. Renewable and Sustainable Energy Institute, University of Colorado Boulder, Boulder, Colorado 80303, United States

Funder

University of California, Davis

Research Corporation for Science Advancement

Division of Graduate Education

U.S. Department of Education

Division of Chemical, Bioengineering, Environmental, and Transport Systems

Division of Materials Research

Publisher

American Chemical Society (ACS)

Subject

Colloid and Surface Chemistry,Biochemistry,General Chemistry,Catalysis

Link

https://pubs.acs.org/doi/pdf/10.1021/jacs.1c02971

Reference68 articles.

1. High-Temperature Superconductors, the First Ternary System

2. Chevrel phases: Past, present and future

3. Intercalation-conversion hybrid cathodes enabling Li–S full-cell architectures with jointly superior gravimetric and volumetric energy densities

4. “Water-in-salt” electrolyte enables high-voltage aqueous lithium-ion chemistries

5. Promise and reality of post-lithium-ion batteries with high energy densities

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