Machine learning-driven insights into self-healing silicon-based anodes for high-performance lithium-ion batteries
Abstract In recent years, the utilization of silicon, rather than graphite, has emerged as a compelling alternative for anode materials in Li-ion batteries, promising higher energy density. However, a significant challenge lies in the degradation of silicon anodes due to volume fluctuations during c...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-95906-x |
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