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Cited by 211

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Engineering the properties of metal nanostructures via galvanic replacement reactions

Open access
Cobley, Claire M., Xia, Younan·2010·Materials Science and Engineering: R: Reports

Abstract

In this review, we will bring the reader up to date with recent advances in the use of galvanic replacement reactions to engineer highly tunable nanostructures for a variety of applications. We will begin by discussing the variety of templates that have been used for such reactions and how the structural details (e.g., shape, size, and defects, among others) have interesting effects on the ultimate product, beyond serving as a simple site for deposition. This will be followed by a discussion of how we can manipulate the processes of alloying and dealloying to produce novel structures and how the type of precursor affects the final properties. Finally, the interesting optical properties of these materials and some innovative applications in areas of biomedical engineering and catalysis will be discussed, completing our overview of the state of the art in galvanic replacement.

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Crossref · 10.1016/j.mser.2010.06.002

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Metadata

Authors
Cobley, C. M., & Xia, Y.
Venue
Materials Science and Engineering: R: Reports
Publisher
Elsevier BV
Published
2010-11
Volume
70
Issue
3-6
Pages
44-62
ISSN
0927-796X (ISSN-L)
OpenAlex
W2009242440
Cited by
211
References
7
FWCI
5.56
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Engineering the properties of metal nanostructures via galvanic replacement reactions. https://app.cochat.ai/papers/10.1016/j.mser.2010.06.002
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Cobley, C. M., & Xia, Y. (2010). Engineering the properties of metal nanostructures via galvanic replacement reactions. Materials Science and Engineering: R: Reports. https://doi.org/10.1016/j.mser.2010.06.002

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.