Machine learning accelerates search for longer-lasting materials for solar cells

Perovskite solar cells have gained considerable momentum in the search for cheaper, more efficient solar energy. However, the materials degrade over time, limiting their widespread commercial use. To overcome one of the biggest barriers to commercializing perovskite solar cells, Marina Leite, a professor of materials science and engineering at the University of California, Davis, and an interdisciplinary team of researchers are harnessing AI.