Machine learning used to identify high-performing solar materials

Thanks to a study that combines the power of supercomputing with data science and experimental methods, researchers have developed a novel ‘design to device’ approach to identify promising materials for dye-sensitized solar cells (DSSCs).

from Engineering and Construction News – ScienceDaily https://www.sciencedaily.com/releases/2019/03/190305092837.htm

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