Structure Prediction in High-Entropy Alloys
Machine learning-enabled self-assembly engineering of crystalline high-entropy alloys through polydispersity
Overview:
- Investigated the influence of atomic size distribution on the phase stability and crystal structure of high-entropy alloys
- Performed coarse-grained molecular dynamics simulations of multi-component systems
- Trained predictive SVR model for five-component HEA assemblies based on size dispersity and composition of constituent elements
More details soon…