The DOI matches its Crossref record.
The statistical mechanics of polymers with excluded volume
Abstract
The probability distribution of the configurations of a polymer consisting of freely hinged links of length l and excluded volume v is studied. It is shown that the interaction of the polymer with itself can be represented by considering the polymer under the influence of a self-consistent field which reduces the problem to an equation like the Hartree equation for an atom. This can be solved asymptotically, giving the probability of the n th link of the polymer passing through the point r to be ( L )exp[-27{ r -(5/3) 3/5 ( v /3π l ) 1/5 L 3/5 } 2 (1/20 Ll )] where L = nl is the length along the polymer and ( L ) the normalization. Thus the mean square of r , r 2 , is (5/3) 6/5 ( v /3π l ) 2/5 L 6/5 . The theory is extended to polymers of finite length, to the excluded random walk problem and to n dimensions.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
50th Anniversary Perspective: Block Polymers—Pure Potential
Bates, C. M., & Bates, F. S. (2017) · Macromolecules · doi:10.1021/acs.macromol.6b02355 · Cited by 788
Statistics of macromolecular solutions trapped in small pores
Daoud, M., & De Gennes, P. G. (1977) · Journal de Physique · doi:10.1051/jphys:0197700380108500 · Cited by 561
The tube model theory of rubber elasticity
Edwards, S. F., & Vilgis, T. A. (1988) · Reports on Progress in Physics · doi:10.1088/0034-4885/51/2/003 · Cited by 384
Self-citationThe nature of folded states of globular proteins
Honeycutt, J. D., & Thirumalai, D. (1992) · Biopolymers · doi:10.1002/bip.360320610 · Cited by 360
Betancourt, M. R., & Thirumalai, D. (1999) · Protein Science · doi:10.1110/ps.8.2.361 · Cited by 339
Metadata
- Authors
- Edwards, S. F.
- Venue
- Proceedings of the Physical Society
- Publisher
- IOP Publishing
- Published
- 1965-04
- Volume
- 85
- Issue
- 4
- Pages
- 613-624
- ISSN
- 0370-1328 (ISSN-L)
- OpenAlex
- W2113404900
- Cited by
- 1,355
- References
- 0
- FWCI
- 6.85
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The statistical mechanics of polymers with excluded volume. https://app.cochat.ai/papers/10.1088/0370-1328/85/4/301
- The paper
- Edwards, S. F. (1965). The statistical mechanics of polymers with excluded volume. Proceedings of the Physical Society. https://doi.org/10.1088/0370-1328/85/4/301
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.