Evidence map›Paper›PMID 35056264›Full record

ArticleMicromachines2022

Piezoelectric MEMS Acoustic Transducer with Electrically-Tunable Resonant Frequency.

Alessandro Nastro, Marco Ferrari, Libor Rufer, Skandar Basrour, Vittorio Ferrari

Open access · goldAbstract read
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

5 authors at 2 institutions in 2 countries.

Alessandro NastroDepartment of Information Engineering, University of Brescia, 25123 Brescia, Italy.ORCID 0000-0002-2387-0397
Marco FerrariDepartment of Information Engineering, University of Brescia, 25123 Brescia, Italy.ORCID 0000-0002-3310-7715
Libor RuferCNRS, Grenoble INP, TIMA, University Grenoble Alpes, 38000 Grenoble, France.ORCID 0000-0002-1226-2994
Skandar BasrourCNRS, Grenoble INP, TIMA, University Grenoble Alpes, 38000 Grenoble, France.ORCID 0000-0003-1164-7996
Vittorio FerrariDepartment of Information Engineering, University of Brescia, 25123 Brescia, Italy.ORCID 0000-0002-3949-9975
University of Brescia · ITInstitut polytechnique de Grenoble · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The paper presents a technique to obtain an electrically-tunable matching between the series and parallel resonant frequencies of a piezoelectric MEMS acoustic transducer to increase the effectiveness of acoustic emission/detection in voltage-mode driving and sensing. The piezoelectric MEMS transducer has been fabricated using the PiezoMUMPs technology, and it operates in a plate flexural mode exploiting a 6 mm × 6 mm doped silicon diaphragm with an aluminum nitride (AlN) piezoelectric layer deposited on top. The piezoelectric layer can be actuated by means of electrodes placed at the edges of the diaphragm above the AlN film. By applying an adjustable bias voltage

Indexed as

acoustic transducerfinite element modellingMEMSpiezoelectricPiezoMUMPsresonant frequencytunable

Identifiers

PMID35056264
PMCPMC8779133
OpenAlexW4206488570

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.