| Abstract Scope |
High-entropy alloy (HEA) solid solutions of simple structures (fcc, bcc, and hcp) can now be classified and predicted with considerable accuracy using various data-driven methods. However, predicting high-entropy intermetallic alloys (HEIA) and their composite alloys that are usually associated with functional properties, e.g., half-metallic, multiferroic, magnetocaloric, thermoelectric, and topologically-nontrivial, etc., are still under-developed. Modeling HEIA is often constrained by the availability of datasets and the effectiveness of descriptors. We have developed physics-based and compound-specific models to explore the complex compositional landscape of HEIA through feature engineering and experimentation. The high prediction capability of the models enables the design of ordered BCC (B2) and Heusler (L21) HEI for high-performance properties. |