Data-Driven Discovery of Photoactive Quaternary Oxides Using First-Principles Machine Learning
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DOI: 10.1021/acs.chemmater.9b01519
Abstract: We present a low-cost, virtual high-throughput materials design workflow and use it to identify earth-abundant materials for solar energy applications from the quaternary oxide chemical space. A statistical model that predicts bandgap from chemical composition… read more here.
Keywords: discovery photoactive; machine learning; driven discovery; data driven ... See more keywords