Evidence map›Paper›PMID 35208343›Full record

ReviewMicromachines2022

A Review on Graphene-Based Nano-Electromechanical Resonators: Fabrication, Performance, and Applications.

Yang Xiao, Fang Luo, Yuchen Zhang, Feng Hu, Mengjian Zhu, Shiqiao Qin

Open access · goldAbstract readReview
In one paragraph

Review in Micromachines, 2022. 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
3.0field-weighted citation impact, top 8% of its field
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, 20 citations in OpenAlex.

  1. Article
  2. Graphene MEMS and NEMS.Microsystems & nanoengineering · 2024
    Review
  3. Review
  4. Article
  5. Article
  6. 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

6 authors at 1 institution in 1 country.

Yang XiaoCollege of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, China.
Fang LuoCollege of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, China.
Yuchen ZhangCollege of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, China.
Feng HuCollege of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, China.
Mengjian ZhuCollege of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, China.
Shiqiao QinCollege of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, China.
National University of Defense Technology · CN

Funding

Natural Science Foundation of Hunan Province 2020JJ3039, 2020JJ4659, and 2020RC3032.
6 · The paper itself

Abstract

The emergence of graphene and other two-dimensional materials overcomes the limitation in the characteristic size of silicon-based micro-resonators and paved the way in the realization of nano-mechanical resonators. In this paper, we review the progress to date of the research on the fabrication methods, resonant performance, and device applications of graphene-based nano-mechanical resonators, from theoretical simulation to experimental results, and summarize both the excitation and detection schemes of graphene resonators. In recent years, the applications of graphene resonators such as mass sensors, pressure sensors, and accelerometers gradually moved from theory to experiment, which are specially introduced in this review. To date, the resonance performance of graphene-based nano-mechanical resonators is widely studied by theoretical approaches, while the corresponding experiments are still in the preliminary stage. However, with the continuous progress of the device fabrication and detection technique, and with the improvement of the theoretical model, suspended graphene membranes will widen the potential for ultralow-loss and high-sensitivity mechanical resonators in the near future.

Indexed as

graphenenano-resonatorresonance frequencysensing

Identifiers

PMID35208343
PMCPMC8880531
OpenAlexW4210609536

What OpenQuestion 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 OpenQuestion graph.