Evidence map›Paper›PMID 27346485›Full record

ArticleScientific reports2016

Visualising the strain distribution in suspended two-dimensional materials under local deformation.

Kenan Elibol, Bernhard C Bayer, Stefan Hummel, Jani Kotakoski, Giacomo Argentero, Jannik C Meyer

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Progress in Strain Engineering of 2D-Integrated Heterostructures for Ultrasensitive Sensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Article
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  7. Exceptional Elasticity of Microscale Constrained MoSACS applied materials & interfaces · 2021
    Article
  8. Article
  9. Liquids relax and unify strain in graphene.Nature communications · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Growth, structure and stability of sputter-deposited MoSBeilstein journal of nanotechnology · 2017
    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

6 authors.

Kenan ElibolFaculty of Physics, University of Vienna, Boltzmanngasse 5, A-1090 Vienna, Austria.
Bernhard C BayerFaculty of Physics, University of Vienna, Boltzmanngasse 5, A-1090 Vienna, Austria.
Stefan HummelFaculty of Physics, University of Vienna, Boltzmanngasse 5, A-1090 Vienna, Austria.
Jani KotakoskiFaculty of Physics, University of Vienna, Boltzmanngasse 5, A-1090 Vienna, Austria.
Giacomo ArgenteroFaculty of Physics, University of Vienna, Boltzmanngasse 5, A-1090 Vienna, Austria.
Jannik C MeyerFaculty of Physics, University of Vienna, Boltzmanngasse 5, A-1090 Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We demonstrate the use of combined simultaneous atomic force microscopy (AFM) and laterally resolved Raman spectroscopy to study the strain distribution around highly localised deformations in suspended two-dimensional materials. Using the AFM tip as a nanoindentation probe, we induce localised strain in suspended few-layer graphene, which we adopt as a two-dimensional membrane model system. Concurrently, we visualise the strain distribution under and around the AFM tip in situ using hyperspectral Raman mapping via the strain-dependent frequency shifts of the few-layer graphene's G and 2D Raman bands. Thereby we show how the contact of the nm-sized scanning probe tip results in a two-dimensional strain field with μm dimensions in the suspended membrane. Our combined AFM/Raman approach thus adds to the critically required instrumental toolbox towards nanoscale strain engineering of two-dimensional materials.

Identifiers

PMID27346485
PMCPMC4921963

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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.