Evidence map›Paper›PMID 30011846›Full record

ArticleSensors (Basel, Switzerland)2018

Modeling and Analysis of a Novel Ultrasensitive Differential Resonant Graphene Micro-Accelerometer with Wide Measurement Range.

Fu-Tao Shi, Shang-Chun Fan, Cheng Li, Xiao-Bin Peng

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. An Ultrahigh-Sensitivity Graphene Resonant Gyroscope.Nanomaterials (Basel, Switzerland) · 2021
    Article
  5. Article
  6. Review
  7. Article
  8. 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.

Fu-Tao ShiSchool of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China. futaoshi@buaa.edu.cn.
Shang-Chun FanSchool of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China. fsc@buaa.edu.cn.
Cheng LiSchool of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China. licheng@buaa.edu.cn.ORCID 0000-0002-7201-9005
Xiao-Bin PengSchool of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China. 12171038@buaa.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel, ultrahigh-sensitivity wide-range resonant micro-accelerometer using two differential double-clamped monolayer graphene beams is designed and investigated by steady-state simulation via COMSOL Multiphysics software in this paper. Along with stiffness-enhanced optimized folded support beams, two symmetrical 3-GPa prestressed graphene nano-beams serve as resonant sensitive elements with a size of 10 μm × 1 μm (length × width) to increase the acceleration sensitivity while extending the measurement range. The simulation results show that the accelerometer with cascade-connected graphene and proof-mass assembly exhibits the ultrahigh sensitivity of 21,224 Hz/g and quality factor of 9773 in the range of 0⁻1000 g. This is remarkably superior to previously reported studies characterized by attaching proof mass to the graphene components directly. The proposed accelerometer shows great potential as an alternative to quartz and silicon-based resonant sensors in high-impact and highly sensitive inertial measurement applications.

Indexed as

accelerometergraphene resonatorMEMS/NEMS (micro/nanoelectromechanical systems) sensorssimulation analysis

Identifiers

PMID30011846
PMCPMC6068920

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.