Analysis of Artificial Microstructure of Li-ion Battery Electrode Using Persistent Homology and Machine Learning
In lithium-ion batteries (LIBs), the microstructure of porous electrodes is known to significantly affect various characteristics, including charge-discharge performance, safety, and degradation behavior. Although conventional microstructural parameters such as porosity, specific surface area, avera...
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| Principais autores: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
The Electrochemical Society of Japan
2025-11-01
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| Serier: | Electrochemistry |
| Fag: | |
| Online adgang: | https://www.jstage.jst.go.jp/article/electrochemistry/93/11/93_25-00120/_html/-char/en |
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