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Cited by 292

The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.

Synthesis of Ultrathin PdCu Alloy Nanosheets Used as a Highly Efficient Electrocatalyst for Formic Acid Oxidation

Open access
Yang, Nailiang, Zhang, Zhicheng, Chen, Bo, Huang, Ying, Chen, Junze, Lai, Zhuangchai, Chen, Ye, Sindoro, Melinda, Wang, An‐Liang, Cheng, Hongfei, Fan, Zhanxi, Liu, Xiaozhi, Li, Bing, Zong, Yun, Gu, Lin, Zhang, Hua·2017·Advanced Materials

Abstract

Inspired by the unique properties of ultrathin 2D nanomaterials and excellent catalytic activities of noble metal nanostructures for renewable fuel cells, a facile method is reported for the high‐yield synthesis of ultrathin 2D PdCu alloy nanosheets under mild conditions. Impressively, the obtained PdCu alloy nanosheet after being treated with ethylenediamine can be used as a highly efficient electrocatalyst for formic acid oxidation. The study implicates that the rational design and controlled synthesis of an ultrathin 2D noble metal alloy may open up new opportunities for enhancing catalytic activities of noble metal nanostructures.

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Metadata

Authors
Yang, N., Zhang, Z., Chen, B., Huang, Y., Chen, J., Lai, Z., Chen, Y., Sindoro, M., Wang, A., Cheng, H., Fan, Z., Liu, X., Li, B., Zong, Y., Gu, L., & Zhang, H.
Venue
Advanced Materials
Publisher
Wiley
Published
2017-06-06
Volume
29
Issue
29
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2621487563
Cited by
292
References
50
FWCI
8.75
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Synthesis of Ultrathin PdCu Alloy Nanosheets Used as a Highly Efficient Electrocatalyst for Formic Acid Oxidation. https://app.cochat.ai/papers/10.1002/adma.201700769
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Yang, N., Zhang, Z., Chen, B., Huang, Y., Chen, J., Lai, Z., Chen, Y., Sindoro, M., Wang, A., Cheng, H., Fan, Z., Liu, X., Li, B., Zong, Y., Gu, L., & Zhang, H. (2017). Synthesis of Ultrathin PdCu Alloy Nanosheets Used as a Highly Efficient Electrocatalyst for Formic Acid Oxidation. Advanced Materials. https://doi.org/10.1002/adma.201700769

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.