Application of Artificial Intelligence for Optimization of Organic Solar Cells Production Process

he study of organic solar cells (OSCs) has been rapidly developed in recent years. Organic solar cell technology is sought after mainly due to the ease of manufacture and the cells exclusive properties such as mechanical flexibility, light weight, and transparency. These properties of OSCs are well-suited for unconventional applications with power conversion efficiencies higher than 10%. The flexibility of used substrates and the thinness of the devices make OSCs ideal for roll-to- roll production. However, organic solar cells still have very low conversion efficiencies due to degradation and stability of the technology. To extract their full potential, OSCs have to be optimized. On the other hand, the production chain of organic solar cells (OSC) can take advantage of the use of artificial intelligence (AI). In fact, AI integration into the production workflow makes solar cells more competitive and efficient. This paper presents some applications of AI for optimizing the OSCs production processes.