Scientists at the Argonne National Laboratory in Chicago, USA, have used machine learning techniques to identify optimal materials for dye sensitized solar cells. Beginning with a list of more than 10,000 candidates, the technique identified five materials for synthesis and testing that best fit the research team’s parameters.