Identification and mechanistic understanding of key elements governing the thermal expansion coefficient in Ni-based superalloys: a combined machine learning and first principles study
Fields of Study & Subjects
High Temperature Alloys and Creep
Machine Learning in Materials Science
Metallurgical and Alloy Processes
Publication details
- Journal / source
- Scripta Materialia
- Publisher
- Elsevier BV
- Volume
- 279
- Pages
- 117291–117291
- Publication date
- 24 March 2026
- Language
- EN