Evidence map›Paper›PMID 36874533›Full record

ArticleMacromolecules2023

Siloxane Molecules: Nonlinear Elastic Behavior and Fracture Characteristics.

Tianchi Li, Eric R Dufresne, Martin Kröger, Stefanie Heyden

Abstract read
In one paragraph

Article in Macromolecules, 2023. 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

4 authors.

Tianchi LiSoft and Living Materials, Department of Materials, ETH Zurich, CH-8093 Zurich, Switzerland.
Eric R DufresneSoft and Living Materials, Department of Materials, ETH Zurich, CH-8093 Zurich, Switzerland.
Martin KrögerPolymer Physics, Department of Materials, ETH Zurich, CH-8093 Zurich, Switzerland.ORCID https://orcid.org/0000-0002-7035-7975
Stefanie HeydenSoft and Living Materials, Department of Materials, ETH Zurich, CH-8093 Zurich, Switzerland.ORCID https://orcid.org/0000-0003-1402-6714

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fracture phenomena in soft materials span multiple length and time scales. This poses a major challenge in computational modeling and predictive materials design. To pass quantitatively from molecular to continuum scales, a precise representation of the material response at the molecular level is vital. Here, we derive the nonlinear elastic response and fracture characteristics of individual siloxane molecules using molecular dynamics (MD) studies. For short chains, we find deviations from classical scalings for both the effective stiffness and mean chain rupture times. A simple model of a nonuniform chain of Kuhn segments captures the observed effect and agrees well with MD data. We find that the dominating fracture mechanism depends on the applied force scale in a nonmonotonic fashion. This analysis suggests that common polydimethylsiloxane (PDMS) networks fail at cross-linking points. Our results can be readily lumped into coarse-grained models. Although focusing on PDMS as a model system, our study presents a general procedure to pass beyond the window of accessible rupture times in MD studies employing mean first passage time theory, which can be exploited for arbitrary molecular systems.

Identifiers

PMID36874533
PMCPMC9979691

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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.