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Modelling of metal alloys in realistic conditions with machine learning
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Surface segregation in high-entropy alloys from alchemical machine learning
Michele Ceriotti, Guillaume André Jean Fraux, Arslan Mazitov, Sandip De, Nataliya Lopanitsyna
High-entropy alloys (HEAs), containing several metallic elements in near-equimolar proportions, have long been of interest for their unique mechanical properties. More recently, they have emerged as a promising platform for the development of novel heterog ...
Iop Publishing Ltd2024