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cond-mat.dis-nn2022
Semi-supervised generative approach to point-defect formation in chemically disordered compounds: application to uranium-plutonium mixed oxides
Maciej J. Karcz, Luca Messina, Eiji Kawasaki +3
Machine-learning methods are nowadays of common use in the field of material science. For example, they can aid in optimizing the physicochemical properties of new materials, or he…
cond-mat.mtrl-sci2022★ 1 cited
Effect of cationic chemical disorder on defect formation energies in uranium-plutonium mixed oxides
Didier Bathellier, Luca Messina, Michel Freyss +5
At the atomic scale, uranium-plutonium mixed oxides (U,Pu)O_2 are characterized by cationic chemical disorder, which entails that U and Pu cations are randomly distributed on the c…