AI aids discovery of solar cell materials with near-record efficiency

Structure

Machine learning uncovers hidden relationships in materials design

A hole-transporting layer for perovskite solar cells with near-record efficiency has been developed using a machine learning algorithm. The work explored a vast region of chemical space much faster than would otherwise have been possible, and could potentially help expose the physical principles that underlie the effectiveness of such materials.