A Machine Learning Approach for In-Silico Prediction of Photovoltaic Properties of Perovskite Solar Cells Based on Dopant-Free Hole-Transporting Materials

Herein, we report a novel and powerful approach developed to lower the manufacturing costs of PSCs and make them powerful and cost-effective technology through identifying more efficient, and low-cost dopant-free...