Data-driven discovery of electrocatalysts for CO(2) reduction using active motifs-based machine learning

The electrochemical carbon dioxide reduction reaction (CO(2)RR) is an attractive approach for mitigating CO(2) emissions and generating value-added products. Consequently, discovery of promising CO(2)RR catalysts has become a crucial task, and machine learning (ML) has been utilized to accelerate ca...

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Detalles Bibliográficos
Autores principales: Mok, Dong Hyeon, Li, Hong, Zhang, Guiru, Lee, Chaehyeon, Jiang, Kun, Back, Seoin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10640609/
https://www.ncbi.nlm.nih.gov/pubmed/37952012
http://dx.doi.org/10.1038/s41467-023-43118-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10640609/
https://www.ncbi.nlm.nih.gov/pubmed/37952012
http://dx.doi.org/10.1038/s41467-023-43118-0

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