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Cited by 678

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Current density dependence of peroxide formation in the Li–O2 battery and its effect on charge

Adams, Brian D., Radtke, Claudio, Black, Robert, Trudeau, Michel L., Zaghib, Karim, Nazar, Linda F.·2013·Energy & Environmental Science

Abstract

We report a significant difference in the growth mechanism of Li2O2 in Li–O2 batteries for toroidal and thin-film morphologies which is dependent on the current rate that governs the electrochemical pathway. Evidence from diffraction, electrochemical, FESEM and STEM measurements shows that slower current densities favor aggregation of lithium peroxide nanocrystallites nucleated via solution dismutase on the surface of the electrode; whereas fast rates deposit quasi-amorphous thin films. The latter provide a lower overpotential on charge due to their nature and close contact with the conductive electrode surface, albeit at the expense of lower discharge capacity.

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Crossref · 10.1039/c3ee40697k

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Metadata

Authors
Adams, B. D., Radtke, C., Black, R., Trudeau, M. L., Zaghib, K., & Nazar, L. F.
Venue
Energy & Environmental Science
Published
2013
Volume
6
Issue
6
Pages
1772
ISSN
  • 1754-5692 (ISSN-L)
  • 1754-5706
OpenAlex
W2159411932
Cited by
678
References
27
FWCI
51.72
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Current density dependence of peroxide formation in the Li–O2 battery and its effect on charge. https://app.cochat.ai/papers/10.1039/c3ee40697k
The paper
Adams, B. D., Radtke, C., Black, R., Trudeau, M. L., Zaghib, K., & Nazar, L. F. (2013). Current density dependence of peroxide formation in the Li–O2 battery and its effect on charge. Energy & Environmental Science. https://doi.org/10.1039/c3ee40697k

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.