Clark T.-C. Nguyen (Advisor)

Research Advised by Professor Clark T.-C. Nguyen

Nguyen Group:  List of Projects | List of Researchers

Temperature-Insensitive Resonant Strain Sensor

Xintian Liu
Qianyi Xie
Alper Ozgurluk
Clark T.-C. Nguyen
2022

Electrical stiffnesses generated within capacitive transducer gaps that differentially straddle the edges of a single micromechanical spoke-supported ring resonator enable a tiny strain sensor that occupies only 0.002mm 2 , so far measures strain changes as small as 491nε, and posts an output strain temperature coefficient of only 0.1με/°C at 40°C, which is 40 times better than achievable by a polysilicon piezoresistive strain gauge and 3 times better than the nearest competing resonant strain sensor. The key to this temperature insensitivity rests in the...

199-MHz Polysilicon Micromechanical Disk Array-Composite Oscillator

Qianyi Xie
Sherwin A. Afshar
Alper Ozgurluk
Clark T.-C. Nguyen
2020

The use of a stress-buffered array-composite of six 13.4-μm radius capacitive-gap transduced radial-contour mode polysilicon micromechanical disk resonators with 36.1-nm electrode-to-resonator gaps has enabled a Pierce oscillator centered at 199.2 MHz with phase noise marks of -104.7dBc/Hz at 1-kHz offset and -149.6dBc/Hz far from the carrier, sufficient for smartphones. The 12-kHz to 20-MHz integrated jitter is 163.3fs, which yields an excellent jitter FoM of -251dB. The key to this demonstration is the use of λ couplers to affect a 0° phase shift across the array terminals; and...

Precision Resonant Beam Strain Sensor Employing Gap-Dependent Frequency Shift

Alper Ozgurluk
Clark T.-C. Nguyen
2020

A micromechanical structure for on-chip strain sensing maps strain-induced gap changes to resonance frequency shifts while employing differential strategies to null out bias uncertainty, all towards repeatable measurement of sub-nm displacement changes that equate to sub- strain increments. The key enabler here is the use of gap-dependent electrical stiffness to shift resonance frequencies as structural elements stretch or shrink to relieve stress. An output based on the difference frequency between two close proximity structures with unequal stress arm lengths (cf. Fig. 1) removes...

Low-Power MEMS-Based Pierce Oscillator Using a 61-MHz Capacitive-Gap Disk Resonator

Thura Lin Naing
Tristan O. Rocheleau
Elad Alon
Clark T.-C. Nguyen
2020

A 61-MHz Pierce oscillator constructed in 0.35-µm CMOS technology and referenced to a polysilicon surface-micromachined capacitive-gap-transduced wineglass disk resonator has achieved phase noise marks of −119 dBc/Hz at 1-kHz offset and −139 dBc/Hz at far-fromcarrier offsets. When divided down to 13 MHz, this corresponds to −132 dBc/Hz at 1-kHz offset from the carrier and −152 dBc/Hz far-from-carrier, sufficient for mobile phone reference oscillator applications, using a single MEMS resonator, i.e., without the need to array multiple resonators. Key to achieving these marks is a Pierce-...

Single-Digit-Nanometer Capacitive-Gap Transduced Micromechanical Disk Resonators

Alper Ozgurluk
Kieran Peleaux
Clark T.-C. Nguyen
2020

Single-digit-nanometer electrode-to-resonator gaps have enabled 200-MHz radial-contour mode polysilicon disk resonators with motional resistance Rx as low as 144 while still posting Q’s exceeding 10,000, all with only 2.5V dc-bias. The demonstrated gap spacings down to 7.98nm are the smallest to date for upper-VHF micromechanical resonators and fully capitalize on the fourth power dependence of motional resistance on gap spacing. High device yield and ease of measurement debunk popular prognosticated pitfalls often associated with tiny gaps, e.g., tunneling, Casimir forces, low yield,...

Qianyi Xie

Alumni
Applied Science and Technology
Professor Clark T.-C. Nguyen (Advisor)
Ph.D. 2022

Qianyi Xie is a Ph.D. candidate in Prof. Clark Nguyen's group. He received his B.E. degree in Microelectronics from Tsinghua University in 2016.

Suppression of Oscillator Bias Voltage Phase Noise via MEMS Resonator Arraying

Jeffrey Ni
Clark T.-C. Nguyen
2022

Microelectromechanical system (MEMS)-based oscillators are in the heart of many of our electronic devices today, forming the timing basis for our increasingly higher frequency circuits. High-performance, low-noise oscillators are critical to meeting the standards of today's communication protocols. Effects of noise from all inputs of a circuit to the final output spectrum should be understood to make better oscillators, and this report specifically considers the effects of noise on the bias voltage supply needed for strong electromechanical coupling to sustain resonance. We investigate how...

Jeffrey Ni

Alumni
Electrical Engineering and Computer Sciences
Professor Clark T.-C. Nguyen (Advisor)
M.S. 2022

Bit Rate-Adapting Resoswitch

Qiutong Jin
2022
Fall 2022 BSAC Research Review Presentation View Slides View Presentation at 45:41