Scientists at the University of Central Florida have applied artificial intelligence (AI) to perovskite solar cell research with the aim of developing a system to identify the best materials.
The researchers said machine learning could help scientists developing new perovskite cells or seeking to improve devices, by offering them a tool to define the best “recipes” that take into account factors such as flexibility, stability, efficiency and cost.
The U.S. group collected perovskite data from 2,000 peer-reviewed publications and created more than 300 data points. The information was then analyzed by an AI-based system to define optimal perovskite solar cell combinations