Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 209

The DOI matches its Crossref record.

Concentration fluctuation induced dynamic heterogeneities in polymer blends

Kumar, Sanat K., Colby, Ralph H., Anastasiadis, Spiros H., Fytas, George·1996·The Journal of Chemical Physics

Abstract

The presence of two distinctly different local segmental mobilities found in the case of several phase mixed polymer blends by two-dimensional 2H-NMR, dielectric spectroscopy and depolarized dynamic light scattering is rationalized through a simple concentration fluctuation model. Our primary hypothesis is that, although the probability of the occurrence of concentration fluctuations is symmetric about the mean value in a given volume, the ‘‘cooperative volume’’ over which a fluctuation must occur for it to be detected by a dynamic probe is not a constant, but rather depends on the composition of the cooperative volume. Consequently, we suggest that the cooperative volume associated with a concentration fluctuation be determined by the local composition in a self-consistent manner. In the case of systems with weak interactions and large Tg contrast, these ideas are shown to create a bimodal probability density function for dynamic concentration fluctuations, which has a local maximum corresponding to small cooperative volumes rich in the more mobile component, in addition to the bulk composition itself. We also predict the broadening of both the segmental relaxation time spectrum and the single calorimetric glass transition of the blends with increasing concentration of the slow component. Comparisons of the predictions are made for two experimental systems with different thermodynamic and kinetic effects to illustrate the present approach. Further, we predict the effects of concentration fluctuations in the case of three other blends whose segmental dynamics have not been examined experimentally to date. We predict that the dynamics of the two components approximately follow time–temperature superposition either in the case of strongly interacting blends or for systems that have closely matched Tg values and Williams–Landel–Ferry (WLF) coefficients.

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 · 10.1063/1.472198

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.

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

Cited by

See all 209

Metadata

Authors
Kumar, S. K., Colby, R. H., Anastasiadis, S. H., & Fytas, G.
Venue
The Journal of Chemical Physics
Published
1996-09-01
Volume
105
Issue
9
Pages
3777-3788
ISSN
  • 0021-9606 (ISSN-L)
  • 1089-7690
OpenAlex
W2072622669
Cited by
209
References
0
FWCI
4.73
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: Concentration fluctuation induced dynamic heterogeneities in polymer blends. https://app.cochat.ai/papers/10.1063/1.472198
The paper
Kumar, S. K., Colby, R. H., Anastasiadis, S. H., & Fytas, G. (1996). Concentration fluctuation induced dynamic heterogeneities in polymer blends. The Journal of Chemical Physics. https://doi.org/10.1063/1.472198

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.