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Use of metamodels for rapid discovery of narrow bandgap oxide photocatalysts
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 using a stacking meta-l...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455646/ https://www.ncbi.nlm.nih.gov/pubmed/34585115 http://dx.doi.org/10.1016/j.isci.2021.103068 |