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…