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Transparent lithium-ion batteries

Open access
Yang, Yuan, Jeong, Sangmoo, Hu, Liangbing, Wu, Hui, Lee, Seok Woo, Cui, Yi·2011·Proceedings of the National Academy of Sciences

Abstract

Transparent devices have recently attracted substantial attention. Various applications have been demonstrated, including displays, touch screens, and solar cells; however, transparent batteries, a key component in fully integrated transparent devices, have not yet been reported. As battery electrode materials are not transparent and have to be thick enough to store energy, the traditional approach of using thin films for transparent devices is not suitable. Here we demonstrate a grid-structured electrode to solve this dilemma, which is fabricated by a microfluidics-assisted method. The feature dimension in the electrode is below the resolution limit of human eyes, and, thus, the electrode appears transparent. Moreover, by aligning multiple electrodes together, the amount of energy stored increases readily without sacrificing the transparency. This results in a battery with energy density of 10 Wh/L at a transparency of 60%. The device is also flexible, further broadening their potential applications. The transparent device configuration also allows in situ Raman study of fundamental electrochemical reactions in batteries.

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Metadata

Authors
Yang, Y., Jeong, S., Hu, L., Wu, H., Lee, S. W., & Cui, Y.
Venue
Proceedings of the National Academy of Sciences
Published
2011-07-25
Volume
108
Issue
32
Pages
13013-13018
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2063826939
Cited by
259
References
0
FWCI
15.15
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Transparent lithium-ion batteries. https://app.cochat.ai/papers/10.1073/pnas.1102873108
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Yang, Y., Jeong, S., Hu, L., Wu, H., Lee, S. W., & Cui, Y. (2011). Transparent lithium-ion batteries. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1102873108

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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.