A machine learning protocol for revealing ion transport mechanisms from dynamic NMR shifts in paramagnetic battery materials

Solid-state nuclear magnetic resonance (ssNMR) provides local environments and dynamic fingerprints of alkali ions in paramagnetic battery materials. Linking the local ionic environments and NMR signals requires expensive first-principles computational tools that have been developed for over a decad...

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Detalles Bibliográficos
Autores principales: Lin, Min, Xiong, Jingfang, Su, Mintao, Wang, Feng, Liu, Xiangsi, Hou, Yifan, Fu, Riqiang, Yang, Yong, Cheng, Jun
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/PMC9258323/
https://www.ncbi.nlm.nih.gov/pubmed/35865892
http://dx.doi.org/10.1039/d2sc01306a

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258323/
https://www.ncbi.nlm.nih.gov/pubmed/35865892
http://dx.doi.org/10.1039/d2sc01306a

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