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- Title
Optimizing Perovskite Thin‐Film Parameter Spaces with Machine Learning‐Guided Robotic Platform for High‐Performance Perovskite Solar Cells (Adv. Energy Mater. 48/2023).
- Authors
Zhang, Jiyun; Liu, Bowen; Liu, Ziyi; Wu, Jianchang; Arnold, Simon; Shi, Hongyang; Osterrieder, Tobias; Hauch, Jens A.; Wu, Zhenni; Luo, Junsheng; Wagner, Jerrit; Berger, Christian G.; Stubhan, Tobias; Schmitt, Frederik; Zhang, Kaicheng; Sytnyk, Mykhailo; Heumueller, Thomas; Sutter‐Fella, Carolin M.; Peters, Ian Marius; Zhao, Yicheng
- Abstract
In the article "Optimizing Perovskite Thin-Film Parameter Spaces with Machine Learning-Guided Robotic Platform for High-Performance Perovskite Solar Cells," Jiyun Zhang, Yicheng Zhao, Christoph J. Brabec, and their colleagues introduce the SPINBOT, an automated platform that uses machine learning to optimize solution-processed perovskite thin films. The platform efficiently explores various parameters to produce high-quality and reproducible films. The optimized film achieved an impressive 21.6% power conversion efficiency (PCE) in solar cells under ambient conditions, along with excellent long-term stability.
- Subjects
SOLAR cells; PEROVSKITE; PHOTOVOLTAIC power systems; ROBOTICS; THIN films; MACHINE learning
- Publication
Advanced Energy Materials, 2023, Vol 13, Issue 48, p1
- ISSN
1614-6832
- Publication type
Article
- DOI
10.1002/aenm.202370193