Evidence map›Paper›PMID 41374828›Full record

ArticlePolymers2025

Mean-Square Displacements of Polymers in Simulated Blend Melts.

George D J Phillies

Abstract read
In one paragraph

Article in Polymers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

George D J PhilliesDepartment of Physics, Worcester Polytechnic Institute, Worcester, MA 01690, USA.ORCID 0000-0001-5538-4361

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We apply numerical analysis to interpret reported simulations of polymer blend melts, in particular simulational determinations of mean-square displacements g(t) of polymer beads and polymer centers of mass. Our interest is a quantitative comparison of g(t) with theoretical models that predict g(t). Many models predict that g(t) can be described as a sequence of power-law regimes g(t)∼tα. In each regime, α has a model-predicted value. We find that these models are not consistent with simulations of blend melts. Instead, g(t) generally has a single power-law regime and (when those times are reached) a long-time diffusive (α≈1) regime. Outside these two regions, if one writes g(t)∼tα, then α is a smoothly-changing function of time.

Indexed as

computer simulationmean-square displacementpolymer blendpolymer dynamicspolymer meltpolymer solutionpower-law behaviorscaling behaviorscaling exponents

Identifiers

PMID41374828
PMCPMC12694126

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.