Generating multi-scale Li-ion battery cathode particles with radial grain architectures using stereological generative adversarial networks

Generating multi-scale Li-ion battery cathode particles with radial grain architectures using stereological generative adversarial networks

Abstract Understanding structure-property relationships of Li-ion battery cathodes is crucial for optimizing rate-performance and cycle-life resilience. However, correlating the morphology of cathode particles, such as in LiNi0.8Mn0.1Co0.1O2 (NMC811), and their inner grain architecture with electrod...

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Bibliographic Details
Main Authors:	Lukas Fuchs, Orkun Furat, Donal P. Finegan, Jeffery Allen, Francois L. E. Usseglio-Viretta, Bertan Ozdogru, Peter J. Weddle, Kandler Smith, Volker Schmidt
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-01-01
Series:	Communications Materials
Online Access:	https://doi.org/10.1038/s43246-024-00728-5
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