Dataset for: Identification of the Dominant Recombination Process for Perovskite Solar Cells Based on Machine Learning

Code and data used in the publication "Identification of the Dominant Recombination Process for Perovskite Solar Cells Based on Machine Learning" The dataset saved in the .csv files "balanced_dataset.csv" consist of over 106 simulated perovskite solar cells with their performance (VOC,JSC and FF) at (0.1,0.18,032,0.56,1) sun illuminations as well as the ideality factor (n) . This dataset was built using drift-diffusion open-source code SIMsalabim. (https://github.com/kostergroup/SIMsalabim)