2 papers
physics.comp-ph2020
Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics
Li Li, Stephan Hoyer, Ryan Pederson +4
Including prior knowledge is important for effective machine learning models in physics, and is usually achieved by explicitly adding loss terms or constraints on model architectur…
physics.comp-ph2018
Efficient prediction of 3D electron densities using machine learning
Mihail Bogojeski, Felix Brockherde, Leslie Vogt-Maranto +4
The Kohn-Sham scheme of density functional theory is one of the most widely used methods to solve electronic structure problems for a vast variety of atomistic systems across diffe…