Evidence map›Paper›PMID 34128028›Full record

ArticleSoft matter2021

Insights from modeling into structure, entanglements, and dynamics in attractive polymer nanocomposites.

Ahmad Moghimikheirabadi, Martin Kröger, Argyrios V Karatrantos

Abstract read
In one paragraph

Article in Soft matter, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

3 authors.

Ahmad MoghimikheirabadiDepartment of Materials, Polymer Physics, ETH Zurich, Leopold-Ruzicka-Weg 4, CH-8093 Zurich, Switzerland. ahmadm@mat.ethz.ch mk@mat.ethz.ch.ORCID http://orcid.org/0000-0001-6836-1521
Martin KrögerDepartment of Materials, Polymer Physics, ETH Zurich, Leopold-Ruzicka-Weg 4, CH-8093 Zurich, Switzerland. ahmadm@mat.ethz.ch mk@mat.ethz.ch.ORCID http://orcid.org/0000-0003-1402-6714
Argyrios V KaratrantosMaterials Research and Technology, Luxembourg Institute of Science and Technology, 5, Avenue des Hauts-Fourneaux, L-4362 Esch-sur-Alzette, Luxembourg. argyrios.karatrantos@list.lu.ORCID http://orcid.org/0000-0002-3169-6894

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conformations, entanglements and dynamics in attractive polymer nanocomposites are investigated in this work by means of coarse-grained molecular dynamics simulation, for both weak and strong confinements, in the presence of nanoparticles (NPs) at NP volume fractions φ up to 60%. We show that the behavior of the apparent tube diameter dapp in such nanocomposites can be greatly different from nanocomposites with nonattractive interactions. We find that this effect originates, based on a mean field argument, from the geometric confinement length dgeo at strong confinement (large φ) and not from the bound polymer layer on NPs (interparticle distance ID <2Rg) as proposed recently based on experimental measurements. Close to the NP surface, the entangled polymer mobility is reduced in attractive nanocomposites but still faster than the NP mobility for volume fractions beyond 20%. Furthermore, entangled polymer dynamics is hindered dramatically by the strong confinement created by NPs. For the first time using simulations, we show that the entangled polymer conformation, characterized by the polymer radius of gyration Rg and form factor, remains basically unperturbed by the presence of NPs up to the highest volume fractions studied, in agreement with various experiments on attractive nanocomposites. As a side-result we demonstrate that the loose concept of ID can be made a microscopically well defined quantity using the mean pore size of the NP arrangement.

Identifiers

PMID34128028
PMCPMC8262555

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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.