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A Status Report on “Gold Standard” Machine-Learned Potentials for Water
External Source
chorus
Document Type
Version of Record
Authors
Qi Yu (Department of Chemistry and Cherry L. Emerson Center for Scientific Computation, Emory University, Atlanta, Georgia 30322, United States)
Chen Qu (Independent Researcher, Toronto, Ontario M9B 0E3, Canada)
Paul L. Houston (Department of Chemistry and Chemical Biology, Cornell University, Ithaca, New York 14853, United States)
Apurba Nandi (Department of Chemistry and Cherry L. Emerson Center for Scientific Computation, Emory University, Atlanta, Georgia 30322, United States)
Priyanka Pandey (Department of Chemistry and Cherry L. Emerson Center for Scientific Computation, Emory University, Atlanta, Georgia 30322, United States)
Riccardo Conte (Dipartimento di Chimica, Università degli Studi di Milano, via Golgi 19, 20133 Milano, Italy)
Joel M. Bowman (Department of Chemistry and Cherry L. Emerson Center for Scientific Computation, Emory University, Atlanta, Georgia 30322, United States)
Date Acquired
February 10, 2024
Publication Date
September 1, 2023
Publication Information
Publication: The Journal of Physical Chemistry Letters
Publisher: American Chemical Society (ACS)
Volume: 14
Issue: 36
Issue Publication Date: September 14, 2023
ISSN: 1948-7185
e-ISSN: 1948-7185
DOI: 10.1021/acs.jpclett.3c01791
Funding Number(s)
funding: PSR2021-DIP-005-RCONT
funding: 80NSSC20K0360
Distribution Limits
Public
Keywords
general materials science
physical and theoretical chemistry

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