Evidence map›Paper›PMID 34183809›Full record

ArticleNature materials2021

Computational prediction of the molecular configuration of three-dimensional network polymers.

Lies De Keer, Karsu I Kilic, Paul H M Van Steenberge, Lode Daelemans, Daniel Kodura, Hendrik Frisch, Karen De Clerck, Marie-Françoise Reyniers, Christopher Barner-Kowollik, Reinhold H Dauskardt and 1 more

Abstract read
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In one paragraph

Article in Nature materials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. KIMMDY: a biomolecular reaction emulator.Nature communications · 2026
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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

11 authors.

Lies De KeerLaboratory for Chemical Technology (LCT), Ghent University, Ghent, Belgium.ORCID http://orcid.org/0000-0003-2620-0046
Karsu I KilicDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-5988-4109
Paul H M Van SteenbergeLaboratory for Chemical Technology (LCT), Ghent University, Ghent, Belgium.ORCID http://orcid.org/0000-0001-6244-1299
Lode DaelemansCentre for Textile Science and Engineering (CTSE), Ghent University, Ghent, Belgium.ORCID http://orcid.org/0000-0001-6214-3785
Daniel KoduraCentre for Materials Science, School of Chemistry and Physics, Queensland University of Technology (QUT), Brisbane, Queensland, Australia.
Hendrik FrischCentre for Materials Science, School of Chemistry and Physics, Queensland University of Technology (QUT), Brisbane, Queensland, Australia.
Karen De ClerckCentre for Textile Science and Engineering (CTSE), Ghent University, Ghent, Belgium.ORCID http://orcid.org/0000-0002-5650-3075
Marie-Françoise ReyniersLaboratory for Chemical Technology (LCT), Ghent University, Ghent, Belgium.
Christopher Barner-KowollikCentre for Materials Science, School of Chemistry and Physics, Queensland University of Technology (QUT), Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0002-6745-0570
Reinhold H DauskardtDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, USA. dauskardt@stanford.edu.ORCID http://orcid.org/0000-0003-3989-362X
Dagmar R D'hoogeLaboratory for Chemical Technology (LCT), Ghent University, Ghent, Belgium. dagmar.dhooge@ugent.be.ORCID http://orcid.org/0000-0001-9663-9893

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The three-dimensional arrangement of natural and synthetic network materials determines their application range. Control over the real-time incorporation of each building block and functional group is desired to regulate the macroscopic properties of the material from the molecular level onwards. Here we report an approach combining kinetic Monte Carlo and molecular dynamics simulations that chemically and physically predicts the interactions between building blocks in time and in space for the entire formation process of three-dimensional networks. This framework takes into account variations in inter- and intramolecular chemical reactivity, diffusivity, segmental compositions, branch/network point locations and defects. From the kinetic and three-dimensional structural information gathered, we construct structure-property relationships based on molecular descriptors such as pore size or dangling chain distribution and differentiate ideal from non-ideal structural elements. We validate such relationships by synthesizing organosilica, epoxy-amine and Diels-Alder networks with tailored properties and functions, further demonstrating the broad applicability of the platform.

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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.