2 citations · 3 across the 2 of their papers we have counts for
Showing cond-mat.mtrl-sciShow all
2 papers · 1 filter
cond-mat.mtrl-sci2025★ 2 cited
Massive Atomic Diversity: a compact universal dataset for atomistic machine learning
Arslan Mazitov, Sofiia Chorna, Guillaume Fraux +4
The development of machine-learning models for atomic-scale simulations has benefited tremendously from the large databases of materials and molecular properties computed in the pa…
cond-mat.mtrl-sci2023
Surface segregation in high-entropy alloys from alchemical machine learning
Arslan Mazitov, Maximilian A. Springer, Nataliya Lopanitsyna +3
High-entropy alloys (HEAs), containing several metallic elements in near-equimolar proportions, have long been of interest for their unique mechanical properties. More recently, th…