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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2021
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| 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 |