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Cited by 652

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Cycling Li-O 2 batteries via LiOH formation and decomposition

Liu, Tao, Leskes, Michal, Yu, Wanjing, Moore, Amy J., Zhou, Lina, Bayley, Paul M., Kim, Gunwoo, Grey, Clare P.·2015·Science

Abstract

Solving the problems with Li-air batteries: Li-air batteries come as close as possible to the theoretical limits for energy density in a battery. By weight, this is roughly 10 times higher than conventional lithium-ion batteries and would be sufficient to power cars with a range comparable to those with gasoline engines. But engineering a Li-air battery has been a challenge. Liu et al. managed to overcome the remaining challenges: They were able to avoid electrode passivation, turn limited solvent stability into an advantage, eliminate the fatal problems caused by superoxides, achieve high power with negligible degradation, and even circumvent the problems of removing atmospheric water. Science , this issue p. 530

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Crossref · 10.1126/science.aac7730

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Metadata

Authors
Liu, T., Leskes, M., Yu, W., Moore, A. J., Zhou, L., Bayley, P. M., Kim, G., & Grey, C. P.
Venue
Science
Published
2015-10-30
Volume
350
Issue
6260
Pages
530-533
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1935840347
Cited by
652
References
1
FWCI
48.27
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cycling Li-O 2 batteries via LiOH formation and decomposition. https://app.cochat.ai/papers/10.1126/science.aac7730
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Liu, T., Leskes, M., Yu, W., Moore, A. J., Zhou, L., Bayley, P. M., Kim, G., & Grey, C. P. (2015). Cycling Li-O 2 batteries via LiOH formation and decomposition. Science. https://doi.org/10.1126/science.aac7730

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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.