Evidence map›Paper›PMID 42624835›Full record

ArticleMicrosystems & nanoengineering2026

Theoretical modeling and optimization design of T-shape cavity CMUTs for enhanced acoustic performances and lowered bias voltage.

Jiawei Yuan, Tong Wang, Zhikang Li, Jie Li, Shaohui Qin, Shiwang Zhang, Zixuan Li, Yihe Zhao, Ping Yang, Ruiyan Luo and 4 more

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Jiawei Yuan *State Key Laboratory for Manufacturing Systems Engineering, State Industry-Education Integration Center for Medical Innovations, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Shaanxi Innovation Center for Special Sensing and Testing Technology in Extreme Environments, Shaanxi Provincial University Engineering Research Center for Micro/Nano Acoustic Devices and Intelligent Systems, Xi'an Jiaotong University, Xi'an, China.
Tong Wang *State Key Laboratory for Manufacturing Systems Engineering, State Industry-Education Integration Center for Medical Innovations, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Shaanxi Innovation Center for Special Sensing and Testing Technology in Extreme Environments, Shaanxi Provincial University Engineering Research Center for Micro/Nano Acoustic Devices and Intelligent Systems, Xi'an Jiaotong University, Xi'an, China.
Zhikang LiState Key Laboratory for Manufacturing Systems Engineering, State Industry-Education Integration Center for Medical Innovations, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Shaanxi Innovation Center for Special Sensing and Testing Technology in Extreme Environments, Shaanxi Provincial University Engineering Research Center for Micro/Nano Acoustic Devices and Intelligent Systems, Xi'an Jiaotong University, Xi'an, China. zhikangli@xjtu.edu.cn.ORCID http://orcid.org/0000-0001-7017-0097
Jie LiCollege of Mechanical and Electrical Engineering, Shaanxi University of Science and Technology, Xi'an, China.ORCID http://orcid.org/0000-0001-6350-8299
Shaohui QinSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.
Shiwang ZhangSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.
Zixuan LiState Key Laboratory for Manufacturing Systems Engineering, State Industry-Education Integration Center for Medical Innovations, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Shaanxi Innovation Center for Special Sensing and Testing Technology in Extreme Environments, Shaanxi Provincial University Engineering Research Center for Micro/Nano Acoustic Devices and Intelligent Systems, Xi'an Jiaotong University, Xi'an, China.
Yihe ZhaoState Key Laboratory for Manufacturing Systems Engineering, State Industry-Education Integration Center for Medical Innovations, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Shaanxi Innovation Center for Special Sensing and Testing Technology in Extreme Environments, Shaanxi Provincial University Engineering Research Center for Micro/Nano Acoustic Devices and Intelligent Systems, Xi'an Jiaotong University, Xi'an, China.
Ping YangState Key Laboratory for Manufacturing Systems Engineering, State Industry-Education Integration Center for Medical Innovations, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Shaanxi Innovation Center for Special Sensing and Testing Technology in Extreme Environments, Shaanxi Provincial University Engineering Research Center for Micro/Nano Acoustic Devices and Intelligent Systems, Xi'an Jiaotong University, Xi'an, China.
Ruiyan LuoSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.
Hongqiang TanSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.
Min LiState Key Laboratory for Manufacturing Systems Engineering, State Industry-Education Integration Center for Medical Innovations, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Shaanxi Innovation Center for Special Sensing and Testing Technology in Extreme Environments, Shaanxi Provincial University Engineering Research Center for Micro/Nano Acoustic Devices and Intelligent Systems, Xi'an Jiaotong University, Xi'an, China.
Xiaozhang WangState Key Laboratory for Manufacturing Systems Engineering, State Industry-Education Integration Center for Medical Innovations, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Shaanxi Innovation Center for Special Sensing and Testing Technology in Extreme Environments, Shaanxi Provincial University Engineering Research Center for Micro/Nano Acoustic Devices and Intelligent Systems, Xi'an Jiaotong University, Xi'an, China.
Libo ZhaoState Key Laboratory for Manufacturing Systems Engineering, State Industry-Education Integration Center for Medical Innovations, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Shaanxi Innovation Center for Special Sensing and Testing Technology in Extreme Environments, Shaanxi Provincial University Engineering Research Center for Micro/Nano Acoustic Devices and Intelligent Systems, Xi'an Jiaotong University, Xi'an, China. libozhao@xjtu.edu.cn.ORCID http://orcid.org/0000-0001-6101-8173

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52275570National Natural Science Foundation of China (National Science Foundation of China) 52435010National Natural Science Foundation of China (National Science Foundation of China) 52505611
6 · The paper itself

Abstract

Capacitive micromachined ultrasonic transducers (CMUTs) are key components of ultrasonic technology, which have broad applications in medical, industrial, and military fields. The theoretical model enables rapid analysis of their electromechanical performances, which in turn guides the iterative design of CMUTs arrays. The parallel-plate capacitive devices with variable cavity height, such as T-shape cavity CMUTs, utilize the electrostatic softening effect to induce piston-like deflection in the membrane and have been demonstrated to significantly decrease the collapse voltage while improving the acoustic performance. However, the theoretical model is lacking for CMUTs with T-shape cavities, limiting their optimization design. This paper introduces theoretical models for CMUTs with T-shape cavities actuated by electrostatic force. The model integrates the Galerkin method, a partial expansion method of nonlinear electrostatic force, and an energy equivalence method, thus facilitating the derivation of theoretical expressions for key mechanical behaviors, such as static deflection, collapse voltage, and resonant frequency. The finite element model and experimental verification are used to demonstrate the theoretical results, showcasing generality and high analytical accuracy (error less than 5%) over a large range of bias voltages (up to 90% of the collapse voltage), membrane dimensions (diameter-to-thickness ratio of 30 to 110), and cavity heights (cavity height-to-membrane thickness ratio of 0.2 to 1.0). Meanwhile, theoretical models are used in the optimization analysis, which demonstrates that the CMUTs with T-shape cavities can achieve a 12% increase in average membrane displacement and 47% decrease in collapse voltage compared to conventional CMUTs. The theoretical expressions can serve as a basis for the design of a series of parallel-plate capacitive devices with variable cavity height.

Identifiers

PMID42624835
PMCPMC13493773

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.