64 citations · 226 across the 16 of their papers we have counts for
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physics.chem-ph2021
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…
physics.chem-ph2017★ 64 cited
Towards a formal definition of static and dynamic electronic correlations
Carlos L. Benavides-Riveros, Nektarios N. Lathiotakis, Miguel A. L. Marques
Some of the most spectacular failures of density-functional and Hartree-Fock theories are related to an incorrect description of the so-called static electron correlation. Motivate…