Bypassing the Kohn-Sham equations with machine learning

Autor: Felix Brockherde, Leslie Vogt, Li Li, Mark E. Tuckerman, Kieron Burke, Klaus-Robert Müller
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Nature Communications, Vol 8, Iss 1, Pp 1-10 (2017)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-017-00839-3
Popis: 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.
Databáze: Directory of Open Access Journals