Machine-Learning Approach for Predicting the Discharging Capacities of Doped Lithium Nickel–Cobalt–Manganese Cathode Materials in Li-Ion Batteries

[Image: see text] Understanding the governing dopant feature for cyclic discharge capacity is vital for the design and discovery of new doped lithium nickel–cobalt–manganese (NCM) oxide cathodes for lithium-ion battery applications. We herein apply six machine-learning regression algorithms to study...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Guanyu, Fearn, Tom, Wang, Tengyao, Choy, Kwang-Leong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461773/
https://www.ncbi.nlm.nih.gov/pubmed/34584957
http://dx.doi.org/10.1021/acscentsci.1c00611

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461773/
https://www.ncbi.nlm.nih.gov/pubmed/34584957
http://dx.doi.org/10.1021/acscentsci.1c00611

Ejemplares similares