Machine learning-guided discovery of ionic polymer electrolytes for lithium metal batteries

As essential components of ionic polymer electrolytes (IPEs), ionic liquids (ILs) with high ionic conductivity and wide electrochemical window are promising candidates to enable safe and high-energy-density lithium metal batteries (LMBs). Here, we describe a machine learning workflow embedded with q...

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Detalles Bibliográficos
Autores principales: Li, Kai, Wang, Jifeng, Song, Yuanyuan, Wang, Ying
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/PMC10185508/
https://www.ncbi.nlm.nih.gov/pubmed/37188717
http://dx.doi.org/10.1038/s41467-023-38493-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10185508/
https://www.ncbi.nlm.nih.gov/pubmed/37188717
http://dx.doi.org/10.1038/s41467-023-38493-7

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