Solving deep-learning density functional theory via variational autoencoders

Emanuele Costa, Giuseppe Scriva, Sebastiano Pilati

In recent years, machine learning models, chiefly deep neural networks, have revealed suited to learn accurate energy-density functionals from data. However, problematic instabilit…