Nature Communications (Oct 2017)

Bypassing the Kohn-Sham equations with machine learning

  • Felix Brockherde,
  • Leslie Vogt,
  • Li Li,
  • Mark E. Tuckerman,
  • Kieron Burke,
  • Klaus-Robert Müller

DOI
https://doi.org/10.1038/s41467-017-00839-3
Journal volume & issue
Vol. 8, no. 1
pp. 1 – 10

Abstract

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Machine learning allows electronic structure calculations to access larger system sizes and, in dynamical simulations, longer time scales. Here, the authors perform such a simulation using a machine-learned density functional that avoids direct solution of the Kohn-Sham equations.