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Cited by 288

The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.

Multipolar excitation in triangular nanoprisms

Shuford, Kevin L., Ratner, Mark A., Schatz, George C.·2005·The Journal of Chemical Physics

Abstract

Theoretical studies on the optical properties of gold triangular prisms in solution are presented to determine how structural modifications affect the extinction spectrum. Well-defined trends in the particle extinction are found to depend on the triangular edge length and the prism thickness. Calculations performed on large, thin triangular prisms indicate multipolar excitation and display numerous peaks in the extinction spectrum. The dominant peaks are assigned to different in-plane modes corresponding to the lowest three orders of a multipole expansion. Vector polarization plots are presented to support the peak assignments. Altering the prisms by snipping off the points of the triangular cross section significantly blueshifts the dipole peak, but the higher-order modes are only slightly affected. Snipping off large volumes can lead to the suppression of high-order multipoles in the extinction spectrum.

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Crossref · 10.1063/1.2046633

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Metadata

Authors
Shuford, K. L., Ratner, M. A., & Schatz, G. C.
Venue
The Journal of Chemical Physics
Published
2005-09-15
Volume
123
Issue
11
Pages
114713-114713
ISSN
  • 0021-9606 (ISSN-L)
  • 1089-7690
OpenAlex
W2064054767
Cited by
288
References
59
FWCI
8.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Multipolar excitation in triangular nanoprisms. https://app.cochat.ai/papers/10.1063/1.2046633
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Shuford, K. L., Ratner, M. A., & Schatz, G. C. (2005). Multipolar excitation in triangular nanoprisms. The Journal of Chemical Physics. https://doi.org/10.1063/1.2046633

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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.