Yunqi Cao

Dr. Yunqi Cao


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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27 November 2024 in Advanced Functional Materials
Verified
Journal Article
Closed access
YCYunqi Cao
Yunqi Cao
HCHaozhen Chi
Haozhen Chi
ZZZiying Zhu
Ziying Zhu
SFShuyu Fan
Shuyu Fan
YZYicheng Zhang
Yicheng Zhang
DHDibo Hou
Dibo Hou

7 May 2024 in Journal of Hazardous Materials
Verified
Journal Article
Closed access
ZMZhiqiang Ma
Zhiqiang Ma
MFMengyao Fu
Mengyao Fu
CGChenyang Gao
Chenyang Gao
SFShuyu Fan
Shuyu Fan
HCHaozhen Chi
Haozhen Chi
YCYunqi Cao
Yunqi Cao

1 September 2019 in Nano Energy
Verified
Journal Article
Closed access
YCYunqi Cao
Yunqi Cao
JFJosé Figueroa
José Figueroa
WLWei Li
Wei Li
ZCZhiqiang Chen
Zhiqiang Chen
ZWZhong Lin Wang
Zhong Lin Wang
NSNelson Sepúlveda
Nelson Sepúlveda

19 April 2019 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
YCYunqi Cao
Yunqi Cao
JFJosé Figueroa
José Figueroa
JPJuan J. Pastrana
Juan J. Pastrana
WLWei Li
Wei Li
ZCZhiqiang Chen
Zhiqiang Chen
NSNelson Sepulveda
Nelson Sepulveda

10 January 2025 in IEEE Electron Device Letters
Verified
Journal Article
Closed access
MFMengyao Fu
Mengyao Fu
ZMZhiqiang Ma
Zhiqiang Ma
CGChenyang Gao
Chenyang Gao
YYYongping Ye
Yongping Ye
WLWei Li
Wei Li
YCYunqi Cao
Yunqi Cao
A multi-functional VOC (volatile organic compound) sensor composed of four parallel-connected quartz crystal resonators (QCRs) configured as a cascaded resonator was developed for VOCs identification and quantification. The structure of the cascaded resonator allows the high-resolution output response signals from the four QCRs to be obtained through a single measurement. Multi-parameter responses for each QCR can be calculated to form a hybrid sensor array, combining the advantages of multisensor array (MSA) and virtual sensor array (VSA), significantly enhancing the sensor’s ability to identify both similar and diverse types of VOCs. Results show that the highest sensitivity is 16.14 Hz ppm−1, with the lowest limit of detection is 0.34 ppm, exhibiting excellent sensing performance. Classification accuracy to eight VOCs is 98.68% of the hybrid sensor array. This development is of significant importance for the realization of artificial olfaction.

2 August 2019 in IEEE Sensors Journal
Verified
Journal Article
Closed access
YCYunqi Cao
Yunqi Cao
WLWei Li
Wei Li
NSNelson Sepulveda
Nelson Sepulveda
The significant growth of wearable electronics is in constant search for optimizing systems with high flexibility and self-powering capacity. In this work, we utilize flexible polypropylene ferroelectret (PPFE) thin film polymer with the large transverse piezoelectric coefficient for bending curvature self-powered sensing. The electric energy comes from the geometry distortion of the built-in macro dipoles with initial surface charge distributions. Theoretical analysis based on constitutive electromechanical equations and bilayer bending mechanics provide a detailed understanding of the sensing mechanism and its applicability. Different evaluation methods are used to have a more comprehensive understanding of the electromechanical responses under different bending conditions. It has been found that the velocity and magnitude of the mechanical input influence the average voltage output, while instantaneous voltage is not dependent on the latter. The robustness of the material is also investigated, where the device shows no performance degradation by immersion into the water up to 12 hours and under 10k bending cycles. Thermal stability tests reveal degradation starting at ~ 75°C and an immediate failure of the device at ~ 150°C. Finally, an application is demonstrated by showing the potential use of the characterized system as a self-powered sensor for athletic assessment.