Evidence map›Paper›PMID 41080899›Full record

ArticleACS polymers Au2025

Phantom Force Balance Procedure for Predicting the Modulus of Entangled Polymer Networks.

Tim Bernhard, Andrei A Gusev

Abstract read
In one paragraph

Article in ACS polymers Au, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Tim BernhardLaboratory for Nanometallurgy, Department of Materials, ETH Zürich, 8093 Zürich, Switzerland.ORCID https://orcid.org/0009-0002-9227-0173
Andrei A GusevDepartment of Materials, ETH Zürich, 8093 Zürich, Switzerland.ORCID https://orcid.org/0000-0002-7075-8111

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A computational phantom Force Balance, Maximum Entropy Homogenization Procedure is presented to predict the equilibrium shear modulus of entangled polymer networks. A Monte Carlo method is used to generate periodic bead-spring microstructures of polymer networks. Entanglements are introduced by merging two internal beads of adjacent network strands, yielding additional tetrafunctional cross-links. The microstructures are optimized to their minimum free energy state, for which the modulus is readily available. The procedure is validated by comparing its modulus predictions with those from both stress-relaxation molecular dynamics (MD) simulations and the Miller-Macosko theory (MMT). Near-perfect agreement with both the MD and MMT results is obtained, with the required computational resources being about four and more orders of magnitude smaller than those in the MD simulations. Finally, good agreement with experimental results over a variety of different polymer networks is demonstrated, including those with bottlebrush and comb-like polymer strands and also near-critical gels, suggesting that the presented procedure can be practically used to predict the modulus of arbitrary polymer networks.

Indexed as

end-linked polymer networksentanglementsequilibrium shear modulusforce balance homogenization procedureMonte Carlo network generation

Identifiers

PMID41080899
PMCPMC12511982

What OpenQuestion holds

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LicenceCC BY
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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.