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An Advanced Ni–Fe Layered Double Hydroxide Electrocatalyst for Water Oxidation

Gong, Ming, Li, Yanguang, Wang, Hailiang, Liang, Yongye, Wu, Justin Z., Zhou, Jigang, Wang, Jian, Regier, Tom, Wei, Fei, Dai, Hongjie·2013·Journal of the American Chemical Society

Abstract

Highly active, durable, and cost-effective electrocatalysts for water oxidation to evolve oxygen gas hold a key to a range of renewable energy solutions, including water-splitting and rechargeable metal-air batteries. Here, we report the synthesis of ultrathin nickel-iron layered double hydroxide (NiFe-LDH) nanoplates on mildly oxidized multiwalled carbon nanotubes (CNTs). Incorporation of Fe into the nickel hydroxide induced the formation of NiFe-LDH. The crystalline NiFe-LDH phase in nanoplate form is found to be highly active for oxygen evolution reaction in alkaline solutions. For NiFe-LDH grown on a network of CNTs, the resulting NiFe-LDH/CNT complex exhibits higher electrocatalytic activity and stability for oxygen evolution than commercial precious metal Ir catalysts.

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Metadata

Authors
Gong, M., Li, Y., Wang, H., Liang, Y., Wu, J. Z., Zhou, J., Wang, J., Regier, T., Wei, F., & Dai, H.
Venue
Journal of the American Chemical Society
Published
2013-05-28
Volume
135
Issue
23
Pages
8452-8455
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2058916144
Cited by
2,837
References
0
FWCI
62.04
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An Advanced Ni–Fe Layered Double Hydroxide Electrocatalyst for Water Oxidation. https://app.cochat.ai/papers/10.1021/ja4027715
The paper
Gong, M., Li, Y., Wang, H., Liang, Y., Wu, J. Z., Zhou, J., Wang, J., Regier, T., Wei, F., & Dai, H. (2013). An Advanced Ni–Fe Layered Double Hydroxide Electrocatalyst for Water Oxidation. Journal of the American Chemical Society. https://doi.org/10.1021/ja4027715

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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.