Machine learning of kinetic energy densities with target and feature averaging: better results with fewer training data

Sergei Manzhos, Johann Lüder, Manabu Ihara

Machine learning of kinetic energy functionals (KEF), in particular kinetic energy density (KED) functionals, has recently attracted attention as a promising way to construct KEFs…