Whole-process performance prediction and optimization of CIGS solar cells via interpretable machine learning
Fields of Study & Subjects
Chalcogenide Semiconductor Thin Films
Machine Learning in Materials Science
Chemical and Physical Properties of Materials
Publication details
- Journal / source
- Journal of Energy Chemistry
- Publisher
- Elsevier BV
- Volume
- 118
- Pages
- 324–338
- Publication date
- 6 April 2026
- Language
- EN