Evidence map›Paper›PMID 38542656›Full record

ArticleMicromachines2024

Modeling and Simulation of Graphene-Based Transducers in NEMS Accelerometers.

Chang He, Jie Ding, Xuge Fan

Abstract read
In one paragraph

Article in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Graphene MEMS and NEMS.Microsystems & nanoengineering · 2024
    Review
  2. 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

3 authors.

Chang HeAdvanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, Beijing 100081, China.
Jie DingSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0002-5858-434X
Xuge FanAdvanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0002-8811-1615

Funding

173 Technical Field Fund 2023-JCJQ-JJ-0971Beijing Institute of Technology Teli Young Fellow Program 2021TLQT012Beijing Natural Science Foundation 4232076National Natural Science Foundation of China 62171037
6 · The paper itself

Abstract

The mechanical characteristics of graphene ribbons with an attached proof mass that can be used as NEMS transducers have been minimally studied, which hinders the development of graphene-based NEMS devices. Here, we simulated the mechanical characteristics of graphene ribbons with an attached proof mass using the finite element method. We studied the impact of force, residual stress, and geometrical size on displacement, strain, resonant frequency, and fracture strength of graphene ribbons with an attached proof mass. The results show that the increase of width and thickness of graphene ribbons would result in a decrease of the displacement and strain but also an increase of resonant frequency. The increase of the length of graphene ribbons has an insignificant impact on the strain, but it could increase the displacement and decrease the resonant frequency. The increase of residual stress in the graphene ribbons decreases its strain and displacement. The estimated fracture strength of graphene shows limited dependence on its thickness, with an estimated value of around 148 GPa. These findings contribute to the understanding of the mechanical characteristics of graphene ribbons with an attached proof mass and lay the solid foundation for the design and manufacture of high-performance graphene-based NEMS devices such as accelerometers.

Indexed as

finite element methodmechanical characteristicsNEMS devicessuspended graphene

Identifiers

PMID38542656
PMCPMC10972179

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.