Machine learning-driven composition optimization for high strength and ductility in Al-Mg-Si-Zr-Er alloys
Fields of Study & Subjects
Aluminum Alloy Microstructure Properties
Machine Learning in Materials Science
Metallurgy and Material Forming
Publication details
- Journal / source
- Journal of Alloys and Compounds
- Publisher
- Elsevier BV
- Volume
- 1062
- Pages
- 187467–187467
- Publication date
- 20 March 2026
- Language
- EN