Evidence map›Paper›PMID 38806479›Full record

ArticleNature communications2024

Understanding how junction resistances impact the conduction mechanism in nano-networks.

Cian Gabbett, Adam G Kelly, Emmet Coleman, Luke Doolan, Tian Carey, Kevin Synnatschke, Shixin Liu, Anthony Dawson, Domhnall O'Suilleabhain, Jose Munuera and 11 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Scalable MoSAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  5. Toward All 2D-Based Printed Raindrop Triboelectric Nanogenerators.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Ionic-Liquid Free and Flexible Transistors Made of 2D Material Inks.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  11. ACS omega · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Computational Guide to Optimize Electric Conductance in MoSACS applied materials & interfaces · 2025
    Article
  19. Article
  20. 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

21 authors.

Cian Gabbett *School of Physics, CRANN & AMBER Research Centres, Trinity College Dublin, Dublin 2, Ireland.ORCID http://orcid.org/0000-0003-0957-7714
Adam G Kelly *School of Physics, CRANN & AMBER Research Centres, Trinity College Dublin, Dublin 2, Ireland.
Emmet ColemanSchool of Physics, CRANN & AMBER Research Centres, Trinity College Dublin, Dublin 2, Ireland.ORCID http://orcid.org/0000-0002-9312-5472
Luke DoolanSchool of Physics, CRANN & AMBER Research Centres, Trinity College Dublin, Dublin 2, Ireland.
Tian CareySchool of Physics, CRANN & AMBER Research Centres, Trinity College Dublin, Dublin 2, Ireland.ORCID http://orcid.org/0000-0001-8697-9421
Kevin SynnatschkeSchool of Physics, CRANN & AMBER Research Centres, Trinity College Dublin, Dublin 2, Ireland.
Shixin LiuSchool of Physics, CRANN & AMBER Research Centres, Trinity College Dublin, Dublin 2, Ireland.ORCID http://orcid.org/0000-0002-8276-9125
Anthony DawsonSchool of Physics, CRANN & AMBER Research Centres, Trinity College Dublin, Dublin 2, Ireland.
Domhnall O'SuilleabhainSchool of Physics, CRANN & AMBER Research Centres, Trinity College Dublin, Dublin 2, Ireland.
Jose MunueraSchool of Physics, CRANN & AMBER Research Centres, Trinity College Dublin, Dublin 2, Ireland.ORCID http://orcid.org/0000-0002-8176-4795
Eoin CaffreySchool of Physics, CRANN & AMBER Research Centres, Trinity College Dublin, Dublin 2, Ireland.ORCID http://orcid.org/0000-0002-0174-383X
John B BolandSchool of Physics, CRANN & AMBER Research Centres, Trinity College Dublin, Dublin 2, Ireland.
Zdeněk SoferDepartment of Inorganic Chemistry, University of Chemistry and Technology Prague, Technická 5, Prague 6, 166 28, Czech Republic.ORCID http://orcid.org/0000-0002-1391-4448
Goutam GhoshChemical Engineering Department, Delft University of Technology, Van der Maasweg 9, NL-2629, HZ, Delft, The Netherlands.
Sachin KingeMaterials Research & Development, Toyota Motor Europe, B1930, Zaventem, Belgium.
Laurens D A SiebbelesChemical Engineering Department, Delft University of Technology, Van der Maasweg 9, NL-2629, HZ, Delft, The Netherlands.ORCID http://orcid.org/0000-0002-4812-7495
Neelam YadavDepartment of Electronic & Electrical Engineering, Trinity College Dublin 2, Dublin 2, Ireland.ORCID http://orcid.org/0000-0001-8046-3280
Jagdish K VijDepartment of Electronic & Electrical Engineering, Trinity College Dublin 2, Dublin 2, Ireland.ORCID http://orcid.org/0000-0001-7918-126X
Muhammad Awais AslamChair of Physics, Department Physics, Mechanics and Electrical Engineering, Montanuniversität Leoben, Franz Josef Strasse 18, 8700, Leoben, Austria.ORCID http://orcid.org/0000-0002-1178-0722
Aleksandar MatkovicChair of Physics, Department Physics, Mechanics and Electrical Engineering, Montanuniversität Leoben, Franz Josef Strasse 18, 8700, Leoben, Austria.ORCID http://orcid.org/0000-0001-8072-6220
Jonathan N ColemanSchool of Physics, CRANN & AMBER Research Centres, Trinity College Dublin, Dublin 2, Ireland. colemaj@tcd.ie.ORCID http://orcid.org/0000-0001-9659-9721

Funding

Austrian Science Fund FWF Y 1298
6 · The paper itself

Abstract

Networks of nanowires, nanotubes, and nanosheets are important for many applications in printed electronics. However, the network conductivity and mobility are usually limited by the resistance between the particles, often referred to as the junction resistance. Minimising the junction resistance has proven to be challenging, partly because it is difficult to measure. Here, we develop a simple model for electrical conduction in networks of 1D or 2D nanomaterials that allows us to extract junction and nanoparticle resistances from particle-size-dependent DC network resistivity data. We find junction resistances in porous networks to scale with nanoparticle resistivity and vary from 5 Ω for silver nanosheets to 24 GΩ for WS

Identifiers

PMID38806479
PMCPMC11133347

What OpenQuestion holds

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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.