Quan Yuan

Dr. Quan Yuan

College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2014 in Journal of Membrane Science
Verified
Journal Article
Closed access
CDCuijia Duan
Cuijia Duan
XJXingming Jie
Xingming Jie
DLDandan Liu
Dandan Liu
YCYiming Cao
Yiming Cao
QYQuan Yuan
Quan Yuan

11 December 2022 in Micromachines
Verified
Journal Article
Open access
PDF file
TFTianren Feng
Tianren Feng
QYQuan Yuan
Quan Yuan
DYDu-Li Yu
Du-Li Yu
BWBo Wu
Bo Wu
HWHui Wang
Hui Wang
In this paper, the basic concepts of the equivalent model, vibration modes, and conduction mechanisms of MEMS resonators are described. By reviewing the existing representative results, the performance parameters and key technologies, such as quality factor, frequency accuracy, and temperature stability of MEMS resonators, are summarized. Finally, the development status, existing challenges and future trend of MEMS resonators are summarized. As a typical research field of vibration engineering, MEMS resonators have shown great potential to replace quartz resonators in timing, frequency, and resonant sensor applications. However, because of the limitations of practical applications, there are still many aspects of the MEMS resonators that could be improved. This paper aims to provide scientific and technical support for the improvement of MEMS resonators in timing, frequency, and resonant sensor applications.

7 July 2023 in IEEE Sensors Journal
Verified
Journal Article
Closed access
TFTianren Feng
Tianren Feng
QYQuan Yuan
Quan Yuan
DYDu-Li Yu
Du-Li Yu
BWBo Wu
Bo Wu
HWHui Wang
Hui Wang
Compared to conventional sensors, resonant-based sensors output frequency signals instead of voltage signals and therefore have greater advantages in terms of accuracy, noise resistance, and miniaturization. However, the resonant frequency is sensitive to temperature variation. The oven controlled MEMS oscillators (OCMOs) have proven to be the most promising candidate for highly accurate oscillators. Therefore, when the OCMO is used for timing and sensing applications, better device temperature stability and performance are expected. However, OCMOs are still in the development stage from laboratory to commercial products, and there are few related reviews about OCMOs. This paper reviews typical results of OCMOs in the past decade with the aim of supporting the development of frequency reference and resonant-based sensors. We emphasized the importance of temperature control for OCMOs. Then, the basic concepts and models of the OCMO are introduced. and the development trend of the OCMO is discussed from three aspects: device structure, sensing mechanism, and heating control systems. Finally, the fabrication process, conclusion and outlook are given.

2 April 2015 in IEEE Transactions on Electron Devices
Verified
Journal Article
Closed access
QYQuan Yuan
Quan Yuan
WLWei Luo
Wei Luo
HZHui Zhao
Hui Zhao
BPBohua Peng
Bohua Peng
JYJinling Yang
Jinling Yang
FYFuhua Yang
Fuhua Yang
This paper systematically investigates the frequency stability of a radial-contour-mode micromechanical disk resonators with high quality factor (Q-factor) and high resonance frequency. Microelectromechanical system (MEMS)-based oscillator prototype consisting of the resonator and off-chip circuit is realized for frequency reference. The sustaining circuit is designed using impedance matching networks and two op-amp stages with automatic gain control circuit. The oscillator reaches a short-term frequency stability of ±1 ppm and a medium-term frequency stability of ±5 ppm over industrial temperature range (-40 °C-85 °C), which outperforms some of the best MEMS oscillators. Meanwhile, the phase noise is -95 dBc/Hz at 10 kHz offset and 149-MHz carrier. This paper also presents a simple and effective compensation scheme by combining built-in microoven and bias voltage tuning, which can achieve a frequency stability range of 2 ppm at temperature ranges from 20 °C to 100 °C.

19 June 2019 in IEEE Transactions on Electron Devices
Verified
Journal Article
Closed access
XKXiao Kan
Xiao Kan
ZCZeji Chen
Zeji Chen
QYQuan Yuan
Quan Yuan
FWFengxiang Wang
Fengxiang Wang
JYjinling Yang
jinling Yang
FYFuhua Yang
Fuhua Yang

10 July 2025 in IEEE Sensors Journal
Verified
Journal Article
Closed access
YWYuxuan Wu
Yuxuan Wu
HXHangbing Xiao
Hangbing Xiao
HXHaopeng Xu
Haopeng Xu
HCHui Chen
Hui Chen
YZYuxin Zhang
Yuxin Zhang
QYQuan Yuan
Quan Yuan
This paper presents a robust, low-power MEMS temperature control platform featuring a novel hybrid control strategy combining Genetic Algorithm and Particle Swarm Optimization (GA PSO) with Fuzzy PID control. Two heater structures, loop and bent types, are designed and simulated to enhance temperature uniformity, revealing that the bent configuration with an electrode thickness of 500 nm provides superior stability. The key innovation lies in the hybrid GA PSO-Fuzzy PID approach, which autonomously optimizes proportional–integral–derivative (PID) parameters, removing the necessity for manual tuning. This methodology effectively reduces temperature overshoot and accelerates response times, outperforming conventional GA PSO-PID control. Experimental results demonstrate substantial performance improvements, including a faster rise time by 1.98 seconds, reduced peak time by 13.4 seconds, and a shorter settling time by 4.8 seconds. Additionally, the platform shows superior disturbance rejection capabilities, quickly recovering to target temperatures. The straightforward design and fabrication process ensures adaptability across various MEMS heater geometries, underscoring the approach’s potential for advanced thermal management applications in MEMS devices.