A machine learning approach for in silico prediction of the photovoltaic properties of perovskite solar cells based on dopant-free hole-transport materials

Abstract

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...