Nature Communications (Nov 2022)

Machine learning the Hohenberg-Kohn map for molecular excited states

  • Yuanming Bai,
  • Leslie Vogt-Maranto,
  • Mark E. Tuckerman,
  • William J. Glover

DOI
https://doi.org/10.1038/s41467-022-34436-w
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 10

Abstract

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Density functional theory provides a formal map from the electron density to all observables of interest of a many-body system; however, maps for electronic excited states are unknown. Here, the authors demonstrate a data-driven machine learning approach for constructing multistate functionals.