Abstract

Finding density functionals with machine learning

Kieron Burke
University of California, Irvine (UCI)

In this talk, I will summarize our experience using ML to find ground-state density functional approximations, by training on exact solutions. For references, see http://dft.uci.edu/publications.php#publications.
Much of the work is done in collaboration with Klaus Muller (TU Berlin) and Matthias Rupp (U Basel).