Predicting performance of perovskite solar cells through machine learning of existing data
Metal halide perovskite solar cells (PSCs) have been rapidly developed in the past decade. To obtain high-performance PSCs, it is imperative to optimize the fabrication processes and the composition of the perovskite films. Extensive work has been carried out to determine the effects of the fabrication processes and composition of the perovskite films on the device performance. However, it