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Cited by 298

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Surface lattice-engineered bimetallic nanoparticles and their catalytic properties

Wu, Jianbo, Li, Panpan, Pan, Yung-Tin (Frank), Warren, Steven, Yin, Xi, Yang, Hong·2012·Chemical Society Reviews

Abstract

When nanoparticles become small (ca. <5 nm), surface stress becomes significant and generates strain that results in a change of surface structures. In this regard, the surface lattice of nanoparticles can be engineered to create strains or other structural changes with atomic positions away from the normal lattice points. Such changes impact the electronic and catalytic properties of nanoparticles. Recently, several groups have reported the change of catalytic and electrocatalytic properties of bimetallic nanoparticles. In this tutorial review, we discuss the principles related to lattice strain and other distorted structures, and the catalytic properties of bimetallic nanostructures.

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Crossref · 10.1039/c2cs35189g

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Metadata

Authors
Wu, J., Li, P., Pan, Y.-T. (., Warren, S., Yin, X., & Yang, H.
Venue
Chemical Society Reviews
Published
2012
Volume
41
Issue
24
Pages
8066
ISSN
  • 0306-0012 (ISSN-L)
  • 1460-4744
OpenAlex
W2000931866
Cited by
298
References
8
FWCI
0.65
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Surface lattice-engineered bimetallic nanoparticles and their catalytic properties. https://app.cochat.ai/papers/10.1039/c2cs35189g
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Wu, J., Li, P., Pan, Y.-T. (., Warren, S., Yin, X., & Yang, H. (2012). Surface lattice-engineered bimetallic nanoparticles and their catalytic properties. Chemical Society Reviews. https://doi.org/10.1039/c2cs35189g

Data sources

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.