Evidence map›Paper›PMID 36557343›Full record

ArticleMicromachines2022

Demonstration of Thin Film Bulk Acoustic Resonator Based on AlN/AlScN Composite Film with a Feasible Keff2.

Laixia Nian, Yang Zou, Chao Gao, Yu Zhou, Yuchen Fan, Jian Wang, Wenjuan Liu, Yan Liu, Jeffrey Bowoon Soon, Yao Cai and 1 more

Abstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Laixia NianThe Institute of Technological Sciences, Wuhan University, Wuhan 430072, China.
Yang ZouThe Institute of Technological Sciences, Wuhan University, Wuhan 430072, China.
Chao GaoThe Institute of Technological Sciences, Wuhan University, Wuhan 430072, China.ORCID 0000-0002-5170-3705
Yu ZhouThe Institute of Technological Sciences, Wuhan University, Wuhan 430072, China.
Yuchen FanThe Institute of Technological Sciences, Wuhan University, Wuhan 430072, China.
Jian WangThe Institute of Technological Sciences, Wuhan University, Wuhan 430072, China.
Wenjuan LiuThe Institute of Technological Sciences, Wuhan University, Wuhan 430072, China.ORCID 0000-0003-3820-4570
Yan LiuThe Institute of Technological Sciences, Wuhan University, Wuhan 430072, China.ORCID 0000-0002-6251-7123
Jeffrey Bowoon SoonSchool of Microelectronics, Wuhan University, Wuhan 430072, China.
Yao CaiThe Institute of Technological Sciences, Wuhan University, Wuhan 430072, China.ORCID 0000-0003-0555-5745
Chengliang SunThe Institute of Technological Sciences, Wuhan University, Wuhan 430072, China.ORCID 0000-0003-1986-2674

Funding

the fundamental research funds for the central universities No. 2042022kf1027the National Key R&D Program of China No. 2020YFB2008803
6 · The paper itself

Abstract

Film bulk acoustic resonators (FBARs) with a desired effective electromechanical coupling coefficient (Keff2) are essential for designing filter devices. Using AlN/AlScN composite film with the adjustable thickness ratio can be a feasible approach to obtain the required Keff2. In this work, we research the resonant characteristics of FBARs based on AlN/AlScN composite films with different thickness ratios by finite element method and fabricate FBAR devices in a micro-electromechanical systems process. Benefiting from the large piezoelectric constants, with a 1 μm-thick Al

Indexed as

aluminum scandium nitridecomposite filmeffective electromechanical coupling coefficientfilm bulk acoustic resonator

Identifiers

PMID36557343
PMCPMC9781223

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.