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Silicon nanowires for Li-based battery anodes: a review

Zamfir, Mihai Robert, Nguyen, Hung Tran, Moyen, Eric, Lee, Young Hee, Pribat, Didier·2013·Journal of Materials Chemistry A

Abstract

After more than 20 years of steady progress, lithium-ion batteries still exhibit modest energy capacities that seem to have reached their asymptotic values with the present combination of graphite at the anode and insertion oxide or phosphate materials at the cathode. New applications, particularly for all-electric vehicles are pushing the development of electrode materials with higher Li storage capabilities, for both electrodes. Silicon, which exhibits the highest known Li-alloying capacity is one of the most promising anode materials. However, Li alloying with Si is accompanied by a large volume change which induces cracking and rapid pulverization of Si-based anodes. Significant improvements in the anode's lifetime as well as charge–discharge rates have been obtained over the past few years by employing Si nanostructures, particularly nanowires. In this paper, we present the main synthesis methods for Si nanowires as well as the alloying properties of Li with Si and review how the use of Si-based nanowires has evolved, thanks to sophisticated material/structure combinations, including core–shell nanowires, composites as well as hollowed nanotube-like approaches.

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Metadata

Authors
Zamfir, M. R., Nguyen, H. T., Moyen, E., Lee, Y. H., & Pribat, D.
Venue
Journal of Materials Chemistry A
Published
2013
Volume
1
Issue
34
Pages
9566
ISSN
  • 2050-7488 (ISSN-L)
  • 2050-7496
OpenAlex
W2077987673
Cited by
368
References
3
FWCI
22.17
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Silicon nanowires for Li-based battery anodes: a review. https://app.cochat.ai/papers/10.1039/c3ta11714f
The paper
Zamfir, M. R., Nguyen, H. T., Moyen, E., Lee, Y. H., & Pribat, D. (2013). Silicon nanowires for Li-based battery anodes: a review. Journal of Materials Chemistry A. https://doi.org/10.1039/c3ta11714f

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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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