Evidence map›Paper›PMID 39468030›Full record

ReviewMicrosystems & nanoengineering2024

Graphene MEMS and NEMS.

Xuge Fan, Chang He, Jie Ding, Qiang Gao, Hongliang Ma, Max C Lemme, Wendong Zhang

Abstract readReview
In one paragraph

Review in Microsystems & nanoengineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Borophene: Crucial Challenges and the Way Forward.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. 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

7 authors.

Xuge FanAdvanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, 100081, Beijing, China. xgfan@bit.edu.cn.
Chang HeAdvanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, 100081, Beijing, China.
Jie DingSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, 100081, Beijing, China. jie.ding@bit.edu.cn.
Qiang GaoAdvanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, 100081, Beijing, China.
Hongliang MaAdvanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, 100081, Beijing, China.
Max C LemmeChair of Electronic Devices, Faculty of Electrical Engineering and Information Technology, RWTH Aachen University, Otto-Blumenthal-Str. 25, 52074, Aachen, Germany.
Wendong ZhangState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan, 030051, China. wdzhang@nuc.edu.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62171037 and 62088101Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) 4232076
6 · The paper itself

Abstract

Graphene is being increasingly used as an interesting transducer membrane in micro- and nanoelectromechanical systems (MEMS and NEMS, respectively) due to its atomical thickness, extremely high carrier mobility, high mechanical strength, and piezoresistive electromechanical transductions. NEMS devices based on graphene feature increased sensitivity, reduced size, and new functionalities. In this review, we discuss the merits of graphene as a functional material for MEMS and NEMS, the related properties of graphene, the transduction mechanisms of graphene MEMS and NEMS, typical transfer methods for integrating graphene with MEMS substrates, methods for fabricating suspended graphene, and graphene patterning and electrical contact. Consequently, we provide an overview of devices based on suspended and nonsuspended graphene structures. Finally, we discuss the potential and challenges of applications of graphene in MEMS and NEMS. Owing to its unique features, graphene is a promising material for emerging MEMS, NEMS, and sensor applications.

Identifiers

PMID39468030
PMCPMC11519522

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.