Material Evaluation: The Use of Deep Learning to Fast Evaluate Organic Photovoltaic Materials (Adv. Theory Simul. 1/2019)

The development of organic photovoltaics (OPV) is hindered by slow screening of photo-active materials through experiments. In article number 1800116, Wenbo Sun, Yong Li, Kuan Sun, and co-workers describe a deep learning model that allows direct use of pictures of chemical structures as input, possesses an excellent nonlinear analyzing capability, and has a low demand for computing power. The results suggest that deep learning is promising for quickly evaluating new OPV materials.