Smart energy models for atomistic simulations using a DFT-driven multifidelity approach. - Luca Messina; Alessio Quaglino; Alexandra Goryaeva; Mihai-Cosmin Marinica; Christophe Domain; Nicolas Castin; Giovanni Bonny; Rolf Krause (CoRR, 2018)

Targetin the partition function of chemically disordered materials with a generative approach based on inverse variational autoencoders. - Maciej J. Karcz; Luca Messina; Eiji Kawasaki; Emeric Bourasseau (CoRR, 2024)