Evidence map›Paper›PMID 41130971›Full record

ArticleMicrosystems & nanoengineering2025

Electrostatic anti-spring-enhanced MEMS accelerometer with auto-tuning capability.

Chen Wang, Yao Yuan, Milad Shojaeian, Sina Sadeghpour, Huafeng Liu, Yuan Wang, Hang Gao, Jin-Hu Dou, Pan Zhang, Rui P Martins and 1 more

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Chen WangESAT-MNS, University of Leuven, Leuven, 3001, Belgium.
Yao YuanHuazhong Institute of Electro-Optics-Wuhan National Lab for Optoelectronics, Hubei, 430074, China.
Milad ShojaeianESAT-MNS, University of Leuven, Leuven, 3001, Belgium.
Sina SadeghpourESAT-MNS, University of Leuven, Leuven, 3001, Belgium.
Huafeng LiuPGMF and School of Physics, Huazhong University of Science and Technology, Wuhan, 430074, PR China. huafengliu@hust.edu.cn.ORCID http://orcid.org/0000-0003-0757-2362
Yuan WangInstitute of Microelectronics and State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, Macau, China. yuanwang@um.edu.mo.ORCID http://orcid.org/0000-0003-3814-4520
Hang GaoInstitute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029, China.ORCID http://orcid.org/0000-0003-4464-4572
Jin-Hu DouKey Laboratory of Polymer Chemistry and Physics of Ministry of Education, School of Materials Science and Engineering, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0002-6920-9051
Pan ZhangNational Key Laboratory of Advanced Micro and Nano Manufacture Technology, School of Integrated Circuits, Peking University, Beijing, 100871, China.
Rui P MartinsInstitute of Microelectronics and State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, Macau, China.
Pui-In MakInstitute of Microelectronics and State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, Macau, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42204182
6 · The paper itself

Abstract

This study introduces a MEMS accelerometer equipped with an adaptive tuning system for an electrostatic anti-spring. As the input acceleration increases, the sensitivity of the adaptive MEMS accelerometer decreases to compensate for the measurement range. It leverages the benefits of both conventional open- and closed-loop accelerometer designs. Comprehensive theoretical analyses and experimental tests are conducted, showing consistency between theory and experimental results. In comparison to conventional MEMS accelerometer designs, this novel MEMS accelerometer demonstrates enhanced performance. With an actuation voltage of 15.4 V and under 0 g acceleration input, the sensitivity of the accelerometer improves from 1.28 V/g to 39.43 V/g, and the spring constant is reduced from 41.0 N/m to 1.38 N/m. The noise floor also decreases from 8628 ng/√Hz (at 100 Hz) to 279 ng/√Hz (at 100 Hz). The dynamic range enhances from 127 dB to 157 dB. Besides, a hybrid continuous-time interface is utilized to apply the actuation force on the sensing comb fingers. This approach not only simplifies the circuit design but also minimizes the required die area, power consumption. The combination of these features makes the novel MEMS accelerometer both highly sensitive and large measurement range, as a promising solution for various applications.

Identifiers

PMID41130971
PMCPMC12549853

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Registered trials

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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.