Interpretable high-throughput machine learning-based screening of high-thermal-conductivity composites with experimental validation
Fields of Study & Subjects
Thermal properties of materials
Machine Learning in Materials Science
Thermal Expansion and Ionic Conductivity
Publication details
- Journal / source
- Journal of Material Science and Technology
- Publisher
- Elsevier BV
- Volume
- 268
- Pages
- 90–101
- Publication date
- 5 January 2026
- Language
- EN