Machine learning the derivative discontinuity of density-functional theory

Johannes Gedeon, Jonathan Schmidt, Matthew J. P. Hodgson +3

Machine learning is a powerful tool to design accurate, highly non-local, exchange-correlation functionals for density functional theory. So far, most of those machine learned func…