Constructing multicomponent cluster expansions with machine-learning and chemical embedding
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Cluster expansions are commonly employed as surrogate models to link the electronic structure of an alloy to its finite-temperature properties. Using cluster expansions to model materials with several alloying elements is challenging due to a rapid increase in... ...