Nature Communications (Dec 2021)

SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effects

  • Oliver T. Unke,
  • Stefan Chmiela,
  • Michael Gastegger,
  • Kristof T. Schütt,
  • Huziel E. Sauceda,
  • Klaus-Robert Müller

DOI
https://doi.org/10.1038/s41467-021-27504-0
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 14

Abstract

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Current machine-learned force fields typically ignore electronic degrees of freedom. SpookyNet is a deep neural network that explicitly treats electronic degrees of freedom, closing an important remaining gap for models in quantum chemistry.