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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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-01-01
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| Series: | Communications Materials |
| Online Access: | https://doi.org/10.1038/s43246-024-00728-5 |
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