Evidence map›Paper›PMID 35744478›Full record

ArticleMicromachines2022

A Low-Frequency MEMS Magnetoelectric Antenna Based on Mechanical Resonance.

Yinan Wang, Zhibo Ma, Guanglei Fu, Jiayan Wang, Qi Xi, Yuanhang Wang, Ziqiang Jia, Guhao Zi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

8 authors.

Yinan WangThe Ministry of Education Key Lab of Micro/Nano Systems for Aerospace, Northwestern Polytechnical University, Ministry of Education, Xi'an 710072, China.
Zhibo MaThe Ministry of Education Key Lab of Micro/Nano Systems for Aerospace, Northwestern Polytechnical University, Ministry of Education, Xi'an 710072, China.
Guanglei FuTraining Center for Engineering Practices, Northwestern Polytechnical University, Xi'an 710072, China.
Jiayan WangThe Ministry of Education Key Lab of Micro/Nano Systems for Aerospace, Northwestern Polytechnical University, Ministry of Education, Xi'an 710072, China.
Qi XiThe Ministry of Education Key Lab of Micro/Nano Systems for Aerospace, Northwestern Polytechnical University, Ministry of Education, Xi'an 710072, China.
Yuanhang WangThe Ministry of Education Key Lab of Micro/Nano Systems for Aerospace, Northwestern Polytechnical University, Ministry of Education, Xi'an 710072, China.
Ziqiang JiaThe Ministry of Education Key Lab of Micro/Nano Systems for Aerospace, Northwestern Polytechnical University, Ministry of Education, Xi'an 710072, China.
Guhao ZiThe Ministry of Education Key Lab of Micro/Nano Systems for Aerospace, Northwestern Polytechnical University, Ministry of Education, Xi'an 710072, China.

Funding

National Natural Science Foundation of China 92060112
6 · The paper itself

Abstract

Antenna miniaturization technology has been a challenging problem in the field of antenna design. The demand for antenna miniaturization is even stronger because of the larger size of the antenna in the low-frequency band. In this paper, we consider MEMS magnetoelectric antennas based on mechanical resonance, which sense the magnetic fields of electromagnetic waves through the magnetoelectric (ME) effect at their mechanical resonance frequencies, giving a voltage output. A 70 μm diameter cantilever disk with SiO

Indexed as

magnetoelectric couplingMEMS mechanical antennamicrofabrication process

Identifiers

PMID35744478
PMCPMC9228862

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.