Perovskite images and optical features (FAPbI3 & FA0.95Cs0.05PbI3)
Abstract
Images of perovskite thin films were cut using an automated platform, along with datasets of absorption features, PL features, TRPL, and PLQY. However, the automatically extracted metrics are not directly usable and still require verification and evaluation.
Fields of Study & Subjects
Perovskite Materials and Applications
Machine Learning in Materials Science
2D Materials and Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 13 March 2026
- Language
- EN
- Document type
- Dataset