Perovskite Solar Cells: Predictions and Strategies Learned from Machine Learning to Develop High‐Performing Perovskite Solar Cells (Adv. Energy Mater. 46/2019)

In article number 1901891, Jayan Thomas and co-workers use machine learning (ML) to optimize material composition and predict design strategies and performance of perovskite solar cells. The trend of ML predictions matches well with the Shockley-Queisser limit. Optimum frontier orbital energies between the transport layer and perovskite layer are also predicted.