Physically interpretable models for predicting lattice parameters, tunnel geometry, and symmetry in hollandite-type materials
Fields of Study & Subjects
Nuclear materials and radiation effects
Advanced Condensed Matter Physics
Machine Learning in Materials Science
Publication details
- Journal / source
- Computational Materials Science
- Volume
- 264
- Pages
- 114494–114494
- Publication date
- 9 January 2026
- Language
- EN