Exact constraints and appropriate norms in machine-learned exchange-correlation functionals
(2022)
Journal Article
Machine learning techniques have received growing attention as an alternative strategy for developing general-purpose density functional approximations, augmenting the historically successful approach of human-designed functionals derived to obey mat... Read More about Exact constraints and appropriate norms in machine-learned exchange-correlation functionals.