Evidence map›Paper›PMID 40362977›Full record

ReviewPolymers2025

Review: Mean-Square Displacements of Simulated Polymers.

George D J Phillies

Abstract readReview
In one paragraph

Review in Polymers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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 review simulations of polymeric fluids that report mean-square displacements g(t) of polymer beads, segments, and chains. By means of careful numerical analysis, but contrary to some models of polymer dynamics, we show that hypothesized power-law regimes g(t)∼tα are almost never present. In most but not quite all cases, plots of log(g(t)) against log(t) show smooth curves whose slopes vary continuously with time. We infer that models that predict power-law regimes for g(t) are invalid for melts of linear polymers.

Indexed as

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

Identifiers

PMID40362977
PMCPMC12073395

What OpenQuestion holds

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Registered trials

None linked

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.