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Motions of Molecules in Condensed Systems: I. Selection Rules, Relative Intensities, and Orientation Effects for Raman and Infra-Red Spectra

Halford, Ralph S.·1946·The Journal of Chemical Physics

Abstract

A method is described that permits deduction of selection rules for Raman and infra-red spectra of crystals from a knowledge of just the space group designation and the population of the unit cell. When implemented by an appendix to this article showing, in a convenient arrangement, the distribution of point symmetries within space groups the method can be applied by a user familiar with point group manipulation but having no special knowledge of space groups. There are no selection rules operating in the liquid state. Some tentative qualitative conclusions are drawn concerning the relative intensities of certain kinds of components appearing in spectra of condensed systems. Sharpened selection rules are expected, and have been observed by others, to operate for single crystals containing non-rotating molecules when these are given special orientations in the light path. These special orientations and the appropriate selection rules can be predicted from information mentioned above along with inspection of the external form of a crystal. All procedures have a desirable advantage of simplicity over prior ones directed toward the same ends.

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Metadata

Authors
Halford, R. S.
Venue
The Journal of Chemical Physics
Published
1946-01-01
Volume
14
Issue
1
Pages
8-15
ISSN
  • 0021-9606 (ISSN-L)
  • 1089-7690
OpenAlex
W1982738584
Cited by
443
References
0
FWCI
7.25
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Motions of Molecules in Condensed Systems: I. Selection Rules, Relative Intensities, and Orientation Effects for Raman and Infra-Red Spectra. https://app.cochat.ai/papers/10.1063/1.1724065
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Halford, R. S. (1946). Motions of Molecules in Condensed Systems: I. Selection Rules, Relative Intensities, and Orientation Effects for Raman and Infra-Red Spectra. The Journal of Chemical Physics. https://doi.org/10.1063/1.1724065

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.