Machine learning for flow batteries: opportunities and challenges

With increased computational ability of modern computers, the rapid development of mathematical algorithms and the continuous establishment of material databases, artificial intelligence (AI) has shown tremendous potential in chemistry. Machine learning (ML), as one of the most important branches of...

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Detalles Bibliográficos
Autores principales: Li, Tianyu, Zhang, Changkun, Li, Xianfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2022
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9067567/
https://www.ncbi.nlm.nih.gov/pubmed/35655893
http://dx.doi.org/10.1039/d2sc00291d

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9067567/
https://www.ncbi.nlm.nih.gov/pubmed/35655893
http://dx.doi.org/10.1039/d2sc00291d

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