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The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Metal Nanostructures with Hollow Interiors

Sun, Y., Mayers, B., Xia, Y.·2003·Advanced Materials

Abstract

We have recently developed a simple and versatile route to the large‐scale synthesis of metal nanostructures with well‐defined hollow interiors. The key step of this process involves a replacement reaction between the surface of a nanoscale template and the solution of an appropriate salt precursor. The capability and feasibility of this method have been demonstrated by preparing hollow nanostructures of gold with a range of different morphologies (e.g., triangular rings, prism‐shaped boxes, cubic boxes, spherical capsules, and tubes). In addition to gold, this method also worked well for other metals such as platinum and palladium (see Figure for an SEM image of Pd nanotubes). These metal nanostructures with hollow interiors are useful as fillers for generation of ultralight composites; they are also interesting for new types of applications that include use as components for highly sensitive colorimetric sensors and as effective, recoverable catalysts.

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Crossref · 10.1002/adma.200301639

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Metadata

Authors
Sun, Y., Mayers, B., & Xia, Y.
Venue
Advanced Materials
Publisher
Wiley
Published
2003-04-09
Volume
15
Issue
7-8
Pages
641-646
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W1998789938
Cited by
966
References
2
FWCI
29.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Metal Nanostructures with Hollow Interiors. https://app.cochat.ai/papers/10.1002/adma.200301639
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Sun, Y., Mayers, B., & Xia, Y. (2003). Metal Nanostructures with Hollow Interiors. Advanced Materials. https://doi.org/10.1002/adma.200301639

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.