Numerical validation and machine learning-based modeling of energy conversion efficiency in Cs2AgBi0.75Sb0.25Br6 double perovskite solar cells
Fields of Study & Subjects
Perovskite Materials and Applications
Heusler alloys: electronic and magnetic properties
Machine Learning in Materials Science
Publication details
- Journal / source
- Solar Energy Materials and Solar Cells
- Publisher
- Elsevier BV
- Volume
- 302
- Pages
- 114330–114330
- Publication date
- 4 April 2026
- Language
- EN