Evidence map›Paper›PMID 39890878›Full record

ArticleNature materials2025

Topological linking determines elasticity in limited valence networks.

Giorgia Palombo, Simon Weir, Davide Michieletto, Yair Augusto Gutiérrez Fosado

Abstract read
In one paragraph

Article in Nature materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Phase-transition-like behaviors of sequence-selective dynamic bonds.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Review
  6. When stars make loopy networks.Nature materials · 2025
    Article
  7. 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.

Giorgia PalomboSchool of Physics and Astronomy, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0009-0005-0562-7157
Simon WeirSchool of Physics and Astronomy, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0009-0007-7197-0126
Davide MichielettoSchool of Physics and Astronomy, University of Edinburgh, Edinburgh, UK. davide.michieletto@ed.ac.uk.ORCID http://orcid.org/0000-0003-2186-6869
Yair Augusto Gutiérrez FosadoSchool of Physics and Astronomy, University of Edinburgh, Edinburgh, UK. yair.fosado@ed.ac.uk.ORCID http://orcid.org/0000-0001-5284-6313

Funding

European Cooperation in Science and Technology (COST) EUTOPIA
6 · The paper itself

Abstract

Understanding the relationship between the microscopic structure and topology of a material and its macroscopic properties is a fundamental challenge across a wide range of systems. Here we investigate the viscoelasticity of DNA nanostar hydrogels-a model system for physical networks with limited valence-by coupling rheology measurements, confocal imaging and molecular dynamics simulations. We discover that these networks display a large degree of interpenetration and that loops within the network are topologically linked, forming a percolating network-within-network structure. Below the overlapping concentration, the fraction of branching points and the pore size determine the high-frequency elasticity of these physical gels. At higher concentrations, we discover that this elastic response is dictated by the abundance of topological links between looped motifs in the gel. Our findings highlight the emergence of 'topological elasticity' as a previously overlooked mechanism in generic network-forming liquids and gels and inform the design of topologically controllable material behaviours.

Identifiers

PMID39890878
PMCPMC11879876

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.