Machine Learning Approach to Design High Entropy Alloys with Heterogeneous Grain Structures

Heterogeneous nanocrystalline high-entropy alloys (HEAs) have excellent mechanical properties. However, it is still difficult to obtain the optimized grain size in the heterogeneous-grained HEAs, which achieves their outstanding mechanical properties. Here, using a novel integration method of machine learning, a physical model and atomic simulation, the optimal grain size is designed for achieving high yield strength of heterogeneous-grained...