Videos

Finding density functionals with machine learning

Presenter
February 23, 2015
Abstract
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). Presentation (PDF File)