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...

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Detalles Bibliográficos
Autores principales: Mai, Haoxin, Le, Tu C., Hisatomi, Takashi, Chen, Dehong, Domen, Kazunari, Winkler, David A., Caruso, Rachel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
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

Internet

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

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