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Cited by 448

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Synthesis and Optical Characterization of Au/Ag Core/Shell Nanorods

Liu, Guyot-Sionnest, Philippe·2004·The Journal of Physical Chemistry B

Abstract

Au/Ag core/shell nanorods with different shell thickness were synthesized in aqueous solution by chemically depositing silver on gold nanorods surface. With the silver coating, the longitudinal plasmon mode of the nanorods shifted blue and was enhanced. A dipole-limit calculation, based on confocal ellipsoids, simulates the spectra of the core/shell nanorods using bulk dielectric functions. Good agreement with the experimental result was achieved. Light scattering spectra of single nanorods were taken by dark-field microscopy to measure the homogeneous line width. The scattering spectra of single gold nanorods are less than 10% broader than the theoretical value, while the spectra of silver-coated nanorods are systematically 40−50% broader. The additional damping of the plasmon was modeled as the extra scattering at the Au−Ag interface and the nanorods surface. A model for evaluating the plasmon damping in inhomogeneous metallic systems with interfaces is presented.

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Metadata

Authors
Liu, & Guyot-Sionnest, P.
Venue
The Journal of Physical Chemistry B
Published
2004-04-16
Volume
108
Issue
19
Pages
5882-5888
ISSN
  • 1520-5207 (ISSN-L)
  • 1520-6106
OpenAlex
W2076037331
Cited by
448
References
3
FWCI
11.52
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Synthesis and Optical Characterization of Au/Ag Core/Shell Nanorods. https://app.cochat.ai/papers/10.1021/jp037644o
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Liu, & Guyot-Sionnest, P. (2004). Synthesis and Optical Characterization of Au/Ag Core/Shell Nanorods. The Journal of Physical Chemistry B. https://doi.org/10.1021/jp037644o

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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.