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The Dimensions of Chain Molecules Containing Branches and Rings
Abstract
Formulas for the mean square radii of various branched and ringed polymer molecules are developed under the usual assumptions regarding the statistics of chain configuration. For branched molecules, the mean square radii vary less rapidly with molecular weight than for strictly linear molecules, while for systems containing only rings and unbranched chains the variation is more rapid than for the linear case. These results show that in principle the quantity of branches or of rings can be determined from light-scattering measurements.
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Citations
Cited by
The viscosity of polymers and their concentrated solutions
Berry, G. C., & Fox, T. G. (2006) · Advances in Polymer Science · doi:10.1007/bfb0050985 · Cited by 854
Solution Properties of Branched Macromolecules
Burchard, W. (2007) · Advances in Polymer Science · doi:10.1007/3-540-49780-3_3 · Cited by 721
Simple models for complex nonequilibrium fluids
KROGER, M. (2004) · Physics Reports · doi:10.1016/j.physrep.2003.10.014 · Cited by 302
Choi, Y. K., Bae, Y. H., & Kim, S. W. (1998) · Macromolecules · doi:10.1021/ma981069i · Cited by 200
Predicting the sizes of large RNA molecules
Yoffe, A. M., Prinsen, P., Gopal, A., Knobler, C. M., Gelbart, W. M., & Ben-Shaul, A. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0808089105 · Cited by 140
Metadata
- Authors
- Zimm, B. H., & Stockmayer, W. H.
- Venue
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Published
- 1949-12-01
- Volume
- 17
- Issue
- 12
- Pages
- 1301-1314
- ISSN
- 0021-9606 (ISSN-L)
- 1089-7690
- OpenAlex
- W2064863523
- Cited by
- 1,803
- References
- 0
- FWCI
- 2.89
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The Dimensions of Chain Molecules Containing Branches and Rings. https://app.cochat.ai/papers/10.1063/1.1747157
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- Zimm, B. H., & Stockmayer, W. H. (1949). The Dimensions of Chain Molecules Containing Branches and Rings. The Journal of Chemical Physics. https://doi.org/10.1063/1.1747157
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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.
