Targeting the partition function of chemically disordered materials with a generative approach based on inverse variational autoencoders

Maciej J. Karcz, Luca Messina, Eiji Kawasaki +1

Computing atomic-scale properties of chemically disordered materials requires an efficient exploration of their vast configuration space. Traditional approaches such as Monte Carlo…