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
Much of the work is done in collaboration with Klaus Muller (TU Berlin) and Matthias Rupp (U Basel).

Presentation (PDF File)

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