Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 290

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Dynamics of Entangled H-Polymers: Theory, Rheology, and Neutron-Scattering

McLeish, T. C. B., Allgaier, J., Bick, D. K., Bishko, G., Biswas, P., Blackwell, R., Blottière, B., Clarke, N., Gibbs, B., Groves, D. J., Hakiki, A., Heenan, R. K., Johnson, J. M., Kant, R., Read, D. J., Young, R. N.·1999·Macromolecules

Abstract

We present experiments and theory on the melt dynamics of monodisperse entangled polymers of H-shaped architecture. Frequency-dependent rheological data on a series of polyisoprene H-polymers are in good agreement with a tube model theory that combines path-length fluctuation (like that of star polymer melts) at high frequency, with reptation of the self-entangled “cross-bars” at low frequencies (like that of linear polymer melts). We account explicitly for mild polydispersity. Nonlinear step-strain and transient data in shear and extension confirm the presence of a relaxation time not seen in linear response, corresponding to the curvilinear stretch of the cross-bars. This time is very sensitive to strain due to the exponential dependence of the branch-point friction constants on the effective dangling path length. Strain-induced rearrangements of the branch points are confirmed by small-angle neutron scattering (SANS) on stretched and quenched partially deuterated samples. We develop an extension of melt-scattering theory to deal with the presence of deformed tube variables to interpret the SANS data.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/ma990323j

Cites

27 of 27 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cites

Cited by

See all 290

Metadata

Authors
McLeish, T. C. B., Allgaier, J., Bick, D. K., Bishko, G., Biswas, P., Blackwell, R., Blottière, B., Clarke, N., Gibbs, B., Groves, D. J., Hakiki, A., Heenan, R. K., Johnson, J. M., Kant, R., Read, D. J., & Young, R. N.
Venue
Macromolecules
Published
1999-09-09
Volume
32
Issue
20
Pages
6734-6758
ISSN
  • 0024-9297 (ISSN-L)
  • 1520-5835
OpenAlex
W2001268360
Cited by
290
References
27
FWCI
16.35
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

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.