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Cited by 288

The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.

COHERENT EXCITATION OF VIBRATIONAL MODES IN METALLIC NANOPARTICLES

Hartland, Gregory V.·2006·Annual Review of Physical Chemistry

Abstract

▪ Abstract Excitation of metal nanoparticles with subpicosecond laser pulses causes a rapid increase in the lattice temperature, which can impulsively excite the phonon modes of the particle that correlate with the expansion coordinates. The vibrational periods depend on the size, shape, and elastic constants of the particles. Thus, time-resolved spectroscopy can be used to examine the material properties of nanometer-sized objects. This review provides a brief overview of the steady-state and time-resolved electronic spectroscopy of metal particles, which is important for understanding why vibrational motion appears in transient absorption traces. I also describe how the vibrational modes observed in the experiments are assigned, and what information can be obtained from the measurements. Our work has been mainly concerned with noble metal particles (gold and silver) in aqueous solution. The different shapes that have been examined to date include spheres, rods, and triangles, all with different sizes.

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Crossref · 10.1146/annurev.physchem.57.032905.104533

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Metadata

Authors
Hartland, G. V.
Venue
Annual Review of Physical Chemistry
Published
2006-05-01
Volume
57
Issue
1
Pages
403-430
ISSN
  • 0066-426X (ISSN-L)
  • 1545-1593
OpenAlex
W2117807282
Cited by
288
References
70
FWCI
1.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: COHERENT EXCITATION OF VIBRATIONAL MODES IN METALLIC NANOPARTICLES. https://app.cochat.ai/papers/10.1146/annurev.physchem.57.032905.104533
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Hartland, G. V. (2006). COHERENT EXCITATION OF VIBRATIONAL MODES IN METALLIC NANOPARTICLES. Annual Review of Physical Chemistry. https://doi.org/10.1146/annurev.physchem.57.032905.104533

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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.