[7p-S201-1~19] 12.5 Organic and hybrid solar cells

5:00 PM - 5:15 PM JST(8:00 AM - 8:15 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[7p-S201-15] Improving the Reproducibility of Perovskite Solar Cells Using an Automated Spin Coating System and Optimization of Composition and Process Conditions via Bayesian Optimization

〇Naoto Eguchi¹, Taro Fukazawa¹, Hiroyuki Kanda¹, Kohei Yamamoto¹, Santa Mondal¹, Takashi Miyake¹, Takurou Murakami¹ (1.National Institute of Advanced Industrial Science and Technology)

Keywords:

Perovskite solar cells,Bayesian optimization,Materials informatics

To improve the performance and reduce variability of perovskite solar cells, automated spin coating system was developed, enabling precise control of anti-solvent dropping. Furthermore, Bayesian optimization was employed to efficiently explore material compositions and process conditions, resulting in a power conversion efficiency exceeding previous best values in a short period. The perovskite layers fabricated under the optimized conditions showed reduced surface roughness and increased carrier lifetime compared to those made under conventional optimal conditions.