Efficient screening of low liquidus Ti-based amorphous brazing filler metals via machine learning with limited experimental iteration
Fields of Study & Subjects
Machine Learning in Materials Science
Metallic Glasses and Amorphous Alloys
Shape Memory Alloy Transformations
Publication details
- Journal / source
- Science China Physics Mechanics and Astronomy
- Publisher
- Springer Science and Business Media LLC
- Volume
- 69
- Issue
- 10
- Publication date
- 26 August 2026
- Language
- EN