Optimizing Perovskite Thin‐Film Parameter Spaces with Machine Learning‐Guided Robotic Platform for High‐Performance Perovskite Solar Cells (Adv. Energy Mater. 48/2023)

摘要

Solution-Processed Perovskite Thin Films In article number 2302594, Jiyun Zhang, Yicheng Zhao, Christoph J. Brabec and co-workers develop a machine-learning-guided automated platform, the SPINBOT, to optimize solution-processed perovskite thin films. The platform efficiently explores an intricate multi-dimensional parameter space to produce high-quality and reproducible films. As a result, the optimized film achieves an impressive 21.6% PCE in solar cells under ambient conditions, along with excellent long-term stability.