Machine-Learned Energy Functionals for Multiconfigurational Wave Functions-Reference-Cited by-同舟云学术

Machine-Learned Energy Functionals for Multiconfigurational Wave Functions

Published:2021-08-10 Issue:32 Volume:12 Page:7761-7767
ISSN:1948-7185
Container-title:The Journal of Physical Chemistry Letters
language:en
Short-container-title:J. Phys. Chem. Lett.

Author:

King Daniel S.¹^ORCID,Truhlar Donald G.²^ORCID,Gagliardi Laura³^ORCID

Affiliation:

1. Department of Chemistry, University of Chicago, Chicago, Illinois, United States

2. Department of Chemistry, University of Minnesota, Minneapolis, Minnesota, United States

3. Department of Chemistry, Pritzker School of Molecular Engineering, James Franck Institute, Chicago Center for Theoretical Chemistry, University of Chicago, Chicago, Illinois, United States

Funder

Basic Energy Sciences

Publisher

American Chemical Society (ACS)

Subject

General Materials Science,Physical and Theoretical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpclett.1c02042

Reference91 articles.

1. Density Functional Theory of Electronic Structure

2. Progress in the development of exchange-correlation functionals

3. Insights into Current Limitations of Density Functional Theory

4. Density functional theory for transition metals and transition metal chemistry

5. Perspective: Fifty years of density-functional theory in chemical physics

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