2 papers
physics.chem-ph2024
Neural network distillation of orbital dependent density functional theory
Matija Medvidović, Jaylyn C. Umana, Iman Ahmadabadi +3
Density functional theory (DFT) offers a desirable balance between quantitative accuracy and computational efficiency in practical many-electron calculations. Its central component…
cond-mat.dis-nn2024
Neural-network quantum states for many-body physics
Matija Medvidović, Javier Robledo Moreno
Variational quantum calculations have borrowed many tools and algorithms from the machine learning community in the recent years. Leveraging great expressive power and efficient gr…