High‐Throughput Characterization of Perovskite Solar Cells for Rapid Combinatorial Screening
Maciej Adam Surmiak, Tian Zhang, Jianfeng Lu, Kevin J. Rietwyk, Sonia R. Raga, David P. McMeekin, Udo Bach
Abstract
To discover the ideal perovskite material for solar cell application, a large parameter space (composition, surrounding condition, fabrication technique, etc.) must first be explored. Therefore, screening this parameter space using a rapid combinatorial screening approach can drastically speed up the rate of discovery. During the last decade, these discoveries and optimization processes of perovskite materials have been achieved using simple lab‐scale deposition techniques and characterization methods, resulting in a substantial time‐consuming process, slowing the rate of progress in the field of photovoltaics. Thus, the benefits of developing fully automated, high‐throughput characterization techniques become apparent. Herein, a high‐throughput solar cell testing system that enables parallel, real‐time, and comprehensive measurements is detailed, allowing for 16 solar cells to be characterized simultaneously. The importance of measurement reproducibility, condition verification, and structured data postprocessing is shown.