Use of metamodels for rapid discovery of narrow bandgap oxide photocatalysts
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DOI: 10.1016/j.isci.2021.103068
Abstract: Summary New photocatalysts are traditionally identified through trial-and-error methods. Machine learning has shown considerable promise for improving the efficiency of photocatalyst discovery from a large potential pool. Here, we describe a multi-step, target-driven consensus method… read more here.
Keywords: bandgap; discovery narrow; use metamodels; metamodels rapid ... See more keywords