29 citations · 162 across the 15 of their papers we have counts for
Showing 2015Show all
2 papers · 1 filter
cond-mat.str-el2015★ 29 cited
Machine learning for many-body physics: efficient solution of dynamical mean-field theory
Louis-François Arsenault, O. Anatole von Lilienfeld, Andrew J. Millis
Machine learning methods for solving the equations of dynamical mean-field theory are developed. The method is demonstrated on the three dimensional Hubbard model. The key technica…
physics.chem-ph2015★ 20 cited
Crystal Structure Representations for Machine Learning Models of Formation Energies
Felix Faber, Alexander Lindmaa, O. Anatole von Lilienfeld +1
We introduce and evaluate a set of feature vector representations of crystal structures for machine learning (ML) models of formation energies of solids. ML models of atomization e…