Hui Li

Information-theoretic approach to density-based machine learning.

Density-based machine learning encompasses several distinct tasks: predicting an electron density or Hamiltonian, learning Kohn-Sham (KS) exchange-correlation or orbital-free kinetic-energy functionals, and using a computed density to predict a higher-level molecular property. This Perspective focuses on the last route...