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Cited by 512

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Photophysics of buckminsterfullerene and other carbon cluster ions

O’Brien, S. C., Heath, J. R., Curl, R. F., Smalley, R. E.·1988·The Journal of Chemical Physics

Abstract

The laser-induced fragmentation behavior of positive carbon cluster ions has been investigated by tandem time-of-flight techniques for the jet-cooled clusters up to 80 atoms in size. Two distinct photophysical regimes were found. The first applies to clusters with 34 atoms or more, all of which dissociate to produce even numbered fragments. Large even clusters fragment by the loss of the high energy species C2, odd ones lose a C atom. The second regime applies to clusters composed of 31 or less atoms, all of which fragment by the loss of C3. These two regimes are sharply separated by C+32 which fragments to produce small cluster ions in the 10–19 atom size range. Fragmentation of the large clusters occurs on a microsecond or faster time scale only at very high levels of excitation (>12.8 eV). These photophysical results are interpreted as consequences of the large even clusters having edgeless, spheroidal cage structures while the small ones have linear chain or ring structures.

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Metadata

Authors
O’Brien, S. C., Heath, J. R., Curl, R. F., & Smalley, R. E.
Venue
The Journal of Chemical Physics
Published
1988-01-01
Volume
88
Issue
1
Pages
220-230
ISSN
  • 0021-9606 (ISSN-L)
  • 1089-7690
OpenAlex
W2033822300
Cited by
512
References
4
FWCI
29.54
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Photophysics of buckminsterfullerene and other carbon cluster ions. https://app.cochat.ai/papers/10.1063/1.454640
The paper
O’Brien, S. C., Heath, J. R., Curl, R. F., & Smalley, R. E. (1988). Photophysics of buckminsterfullerene and other carbon cluster ions. The Journal of Chemical Physics. https://doi.org/10.1063/1.454640

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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.