Optimal Machine Learning Models for Predicting Efficiency Degradation in Organic Solar Cells

This work presents optimal machine learning models that reliably learn and predict the temporal degradation of power conversion efficiency in polymeric organic solar cells with a multilayer structure ITO/PEDOT:PSS/P3HT:PCBM/Al.