Topic: Machine Learning Aided Design, Development, and Application of High Entropy Materials

This Special Issue focuses on the application of machine learning in the design, development, and application of high entropy materials. Highlighting the role of machine learning, this field has witnessed remarkable progress in recent years, enabling the discovery of novel material compositions with unprecedented properties. Machine learning algorithms can analyze vast amounts of data, identify patterns, and predict material behaviors, greatly accelerating the traditional trial-and-error process. The contributions in this Special Issue explore using machine learning techniques to enhance the design efficiency, optimize material properties, and facilitate the development of high entropy materials for various applications. 

Machine learning, material design, high entropy alloys, multi-objective optimization, materials genome engineering

31 Mar 2025