Generative Machine Learning for Microstructural Properties of Chemically Disordered Materials: Application to (U, Pu)O2 Nuclear Fuels
M.J. Karcz (CEA), L. Messina (CEA), E. Kawasaki (CEA), E. Bourasseau (CEA)
Proceedings | Materials in Nuclear Energy Systems (MiNES 2023) | New Orleans, LA, December 10-14, 2023 | Pages 88-88