Using AI as a guide for the better manufacturing of perovskite solar cells
Tandem solar cells based on perovskite semiconductors convert sunlight to electricity more efficiently than conventional silicon solar cells. In order to make this technology ready for the market, further improvements with regard to stability and manufacturing processes are required.
Researchers in Australia have harnessed AI to produce solar cells from the mineral perovskite in just a matter of weeks, bypassing years of human labor and human error to optimize the cells.
An international team of scientists has used machine learning to help them develop perovskite solar cells with near-record efficiency. In their paper published in the journal Science, the group describes how they used the machine-learning algorithm to help them find new hole-transporting materials to improve the efficiency of perovskite solar…
What if we could get clean electricity more cheaply and protect the environment at the same time? A team of researchers in Korea has presented a roadmap for sustainable solar cells that integrates AI technology to bring this future closer. Their study is published in Green Chemistry and was selected…