Multi-Indicator Ultrasensitive Temperature Sensing Platform Using Parametrically Excited Resonators
In this work, we demonstrate three different temperature sensing techniques that co-exist in a single nanomechanical drumhead resonator platform based on an aluminum scandium nitride (Al<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0.</inf><inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">8</inf>Sc<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0.2</inf>N) ultra-thin piezoelectric film. Each method demonstrates merits that can be leveraged for timing and/or sensing applications: (1) Tracking linear resonance gives rise to a temperature coefficient of frequency (TCF) as high as −1022 ppm/K at room temperature due to thermally induced stress. (2) The nondegenerate signal/idler tones produced through coupled nonlinear parametric interaction results in TCFs of opposite signs (-178 ppm/K and +89 ppm/K). Mixed parametric tones are trackable and open to TCF manipulation. (3) Tracking the spacing of phononic frequency comb (PFC) leads to an ultrahigh sensitivity with TCF exceeding +4300 ppm/K. These findings mark for the first time that the same mechanical platform is capable of producing not only giant TCFs but also engineered values, including TCF values of opposite signs.
Authors
- Yue Zheng (ORCID: https://orcid.org/0000-0002-2266-6685)
- Mingyo Park (ORCID: https://orcid.org/0000-0002-4121-0982)
- Azadeh Ansari (ORCID: https://orcid.org/0000-0001-9433-6370)
- Seyyed Mojtaba Hassani Gangaraj
- Jialin Wang (ORCID: https://orcid.org/0000-0002-2839-553X)
Institutions
- Georgia Institute of Technology (US)
- Pennsylvania State University (US)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.1109/transducers61432.2025.11109558
- Citations
- 1
- Primary Topic
- Advanced MEMS and NEMS Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.73
Funders
- National Science Foundation