Research on Parasitic Capacitance Reduction in All-Silicon High-Precision MEMS Accelerometers

Parasitic capacitances pose a critical challenge for high-precision capacitive MEMS accelerometer performance improvement, particularly for the sensitivity enhancement and self-noise minimization. For the sandwich structure MEMS accelerometer, glass top cap is commonly employed to reduce parasitic capacitances. However, considering the requirement for three-dimensional integration, an all-silicon structure is more appropriate for CMOS-MEMS integration. This study introduces a MEMS accelerometer with suspended electrodes based on low-resistivity silicon substrate. By minimizing the overlap area between the pickup electrode and the silicon substrate, the parasite capacitances are significantly reduced. Additionally, the relative motion induced capacitance change between the drive electrode and the substrate is shielded by the grounding electrode, which further mitigates the effect of parasitic capacitance on sensitivity. Experimental results demonstrate that parasitic capacitances decrease from 850 pF to 68 pF. The scale factor reaches 971 V/<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">g</i>, making almost 4.4 times improvement. Meanwhile, by decreasing the MEMS accelerometer resonant frequency, the self-noise finally reaches 0.9 n<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">g</i>/Hz<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1/2</sup>, which is approximately equivalent to the thermodynamic noise of the device. These results validate the effectiveness of the proposed method, providing a solution for achieving low-parasitic capacitance in high-performance MEMS accelerometer design. [2025-0025]

Authors

Institutions

Publication Details

Journal
Journal of Microelectromechanical Systems
Published
2025-05-30
DOI
https://doi.org/10.1109/jmems.2025.3571401
Citations
2
Primary Topic
Advanced MEMS and NEMS Technologies
Type
article
Field-Weighted Citation Impact
1.46

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Parasitic Capacitance Reduction in All-Silicon High-Precision MEMS Accelerometers

Wenjie Wu, Lujia Yang, Tianyou Chen, Ji Fan et al.
2 citations
Journal of Microelectromechanical Systems
Advanced MEMS and NEMS Technologies
1.46
article

Research on Parasitic Capacitance Reduction in All-Silicon High-Precision MEMS Accelerometers

Wenjie Wu, Lujia Yang, Tianyou Chen, Ji Fan, K. Zhao, Chenyuan Hu, Huafeng Liu
article en
2 citations

Abstract

Parasitic capacitances pose a critical challenge for high-precision capacitive MEMS accelerometer performance improvement, particularly for the sensitivity enhancement and self-noise minimization. For the sandwich structure MEMS accelerometer, glass top cap is commonly employed to reduce parasitic capacitances. However, considering the requirement for three-dimensional integration, an all-silicon structure is more appropriate for CMOS-MEMS integration. This study introduces a MEMS accelerometer with suspended electrodes based on low-resistivity silicon substrate. By minimizing the overlap area between the pickup electrode and the silicon substrate, the parasite capacitances are significantly reduced. Additionally, the relative motion induced capacitance change between the drive electrode and the substrate is shielded by the grounding electrode, which further mitigates the effect of parasitic capacitance on sensitivity. Experimental results demonstrate that parasitic capacitances decrease from 850 pF to 68 pF. The scale factor reaches 971 V/<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">g</i>, making almost 4.4 times improvement. Meanwhile, by decreasing the MEMS accelerometer resonant frequency, the self-noise finally reaches 0.9 n<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">g</i>/Hz<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1/2</sup>, which is approximately equivalent to the thermodynamic noise of the device. These results validate the effectiveness of the proposed method, providing a solution for achieving low-parasitic capacitance in high-performance MEMS accelerometer design. [2025-0025]

Journal of Microelectromechanical SystemsVol. 34(4)
Huazhong University of Science and Technology (CN)
National Science and Technology Major Project
Affordable and clean energy
Openalex Percentile: Top 17%
Advanced MEMS and NEMS Technologies
1.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.