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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.

On the Efficacy of Electrocatalysis in Nonaqueous Li–O2 Batteries

McCloskey, Bryan D., Scheffler, Rouven, Speidel, Angela, Bethune, Donald S., Shelby, Robert M., Luntz, A. C.·2011·Journal of the American Chemical Society

Abstract

Heterogeneous electrocatalysis has become a focal point in rechargeable Li-air battery research to reduce overpotentials in both the oxygen reduction (discharge) and especially oxygen evolution (charge) reactions. In this study, we show that past reports of traditional cathode electrocatalysis in nonaqueous Li-O(2) batteries were indeed true, but that gas evolution related to electrolyte solvent decomposition was the dominant process being catalyzed. In dimethoxyethane, where Li(2)O(2) formation is the dominant product of the electrochemistry, no catalytic activity (compared to pure carbon) is observed using the same (Au, Pt, MnO(2)) nanoparticles. Nevertheless, the onset potential of oxygen evolution is only slightly higher than the open circuit potential of the cell, indicating conventional oxygen evolution electrocatalysis may be unnecessary.

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Metadata

Authors
McCloskey, B. D., Scheffler, R., Speidel, A., Bethune, D. S., Shelby, R. M., & Luntz, A. C.
Venue
Journal of the American Chemical Society
Published
2011-10-21
Volume
133
Issue
45
Pages
18038-18041
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2330360667
Cited by
652
References
1
FWCI
42.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: On the Efficacy of Electrocatalysis in Nonaqueous Li–O2 Batteries. https://app.cochat.ai/papers/10.1021/ja207229n
The paper
McCloskey, B. D., Scheffler, R., Speidel, A., Bethune, D. S., Shelby, R. M., & Luntz, A. C. (2011). On the Efficacy of Electrocatalysis in Nonaqueous Li–O2 Batteries. Journal of the American Chemical Society. https://doi.org/10.1021/ja207229n

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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.