The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
Production of high-energy Li-ion batteries comprising silicon-containing anodes and insertion-type cathodes
Open accessAbstract
Rechargeable Li-based battery technologies utilising silicon, silicon-based, and Si-derivative anodes coupled with high-capacity/high-voltage insertion-type cathodes have reaped significant interest from both academic and industrial sectors. This stems from their practically achievable energy density, offering a new avenue towards the mass-market adoption of electric vehicles and renewable energy sources. Nevertheless, such high-energy systems are limited by their complex chemistry and intrinsic drawbacks. From this perspective, we present the progress, current status, prevailing challenges and mitigating strategies of Li-based battery systems comprising silicon-containing anodes and insertion-type cathodes. This is accompanied by an assessment of their potential to meet the targets for evolving volume- and weight-sensitive applications such as electro-mobility.
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Cites
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Cited by
Degen, F., Winter, M., Bendig, D., & Tübke, J. (2023) · Nature Energy · doi:10.1038/s41560-023-01355-z · Cited by 861
A non-academic perspective on the future of lithium-based batteries
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Constructing Pure Si Anodes for Advanced Lithium Batteries
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Self-citation
Metadata
- Authors
- Eshetu, G. G., Zhang, H., Judez, X., Adenusi, H., Armand, M., Passerini, S., & Figgemeier, E.
- Venue
- Nature Communications
- Published
- 2021-09-15
- Volume
- 12
- Issue
- 1
- Pages
- 5459-5459
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W3200165885
- Cited by
- 485
- References
- 78
- FWCI
- 20.67
- Type
- journal article
- Language
- en
- Open access
- gold
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- Eshetu, G. G., Zhang, H., Judez, X., Adenusi, H., Armand, M., Passerini, S., & Figgemeier, E. (2021). Production of high-energy Li-ion batteries comprising silicon-containing anodes and insertion-type cathodes. Nature Communications. https://doi.org/10.1038/s41467-021-25334-8
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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