Models of Directed Self-Avoiding Walks and Statistics of Rigid Polymer Molecules
Arkadii E. Arinstein
Additional contact information
Arkadii E. Arinstein: N.N. Semenov Institute of Chemical Physics of Russian Academy of Sciences
A chapter in Mathematical Modeling, 2001, pp 155-166 from Springer
Abstract:
Abstract Many physical properties of polymer systems are determined by the conformational properties of macromolecules, i.e., the set of their possible conformations and their conformational mobility. The progress achieved in the description of the statistics of the conformations of linear polymer chains is largely due to the fact that the conformational properties of polymer chains as a whole depend very little on the characteristic features of their chemical structure, i.e., they reflect certain general, fundamental properties of polymers. In addition, the fact that the number N of links in a polymer chain is large makes it possible to pass, when necessary, to the asymptotic limit (N → ∞). The simplest model that makes it possible to take into account the conformational properties of long linear molecules is the model of an ideal (phantom) flexible polymer chain consisting of freely-jointed immaterial links 1–3. Even though this model is extreme idealized it is extremely helpful for understanding many features of polymer systems. Furthermore, according to Flory theorem, the model of ideal (phantom) flexible polymer chain describes the properties of real polymer chains in dilute solutions in θ-solvents and polymer melts, where the interaction of the units of one chain is compensated by their interaction with the environment chains 1, 2 .
Keywords: Polymer Chain; Polymer Molecule; Conformational Property; Persistence Length; Kuhn Segment (search for similar items in EconPapers)
Date: 2001
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4757-3397-6_16
Ordering information: This item can be ordered from
http://www.springer.com/9781475733976
DOI: 10.1007/978-1-4757-3397-6_16
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().