Simple descriptor derived from symbolic regression accelerating the discovery of new perovskite catalysts

Symbolic regression (SR) is an approach of interpretable machine learning for building mathematical formulas that best fit certain datasets. In this work, SR is used to guide the design of new oxide perovskite catalysts with improved oxygen evolution reaction (OER) activities. A simple descriptor, μ...

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Detalles Bibliográficos
Autores principales: Weng, Baicheng, Song, Zhilong, Zhu, Rilong, Yan, Qingyu, Sun, Qingde, Grice, Corey G., Yan, Yanfa, Yin, Wan-Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360597/
https://www.ncbi.nlm.nih.gov/pubmed/32665539
http://dx.doi.org/10.1038/s41467-020-17263-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360597/
https://www.ncbi.nlm.nih.gov/pubmed/32665539
http://dx.doi.org/10.1038/s41467-020-17263-9

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