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Cited by 299

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Three-dimensional stable lithium metal anode with nanoscale lithium islands embedded in ionically conductive solid matrix

Open access
Lin, Dingchang, Zhao, Jie, Sun, Jie, Yao, Hongbin, Liu, Yayuan, Yan, Kai, Cui, Yi·2017·Proceedings of the National Academy of Sciences

Abstract

Significance: Lithium metal anode holds great promises for next-generation high-energy lithium battery systems. This work introduces an electrolyte-proof design of three-dimensional lithium metal anode where most of the lithium domains are embedded in a lithium-ion conductive matrix. In this architecture, the lithium-ion conductive matrix can isolate the embedded lithium domains from liquid electrolyte and thus prevent severe initial side reactions, while the matrix can simultaneously transport lithium ion and maintain the electrochemical activity of the embedded lithium. The design principle enables highly stable, high-power, and safe lithium metal anodes with minimal side reactions and negligible volume variation during cycling, which paves the way for viable lithium metal batteries in the future.

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Crossref · 10.1073/pnas.1619489114

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Metadata

Authors
Lin, D., Zhao, J., Sun, J., Yao, H., Liu, Y., Yan, K., & Cui, Y.
Venue
Proceedings of the National Academy of Sciences
Published
2017-04-17
Volume
114
Issue
18
Pages
4613-4618
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2606159973
Cited by
299
References
47
FWCI
19.35
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Three-dimensional stable lithium metal anode with nanoscale lithium islands embedded in ionically conductive solid matrix. https://app.cochat.ai/papers/10.1073/pnas.1619489114
The paper
Lin, D., Zhao, J., Sun, J., Yao, H., Liu, Y., Yan, K., & Cui, Y. (2017). Three-dimensional stable lithium metal anode with nanoscale lithium islands embedded in ionically conductive solid matrix. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1619489114

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.