Wireless, RF & Smart Dust

Research that includes:

  • Tuneable RF components: capacitors, inductors, transformers
  • RF microrelays
  • High frequency MEMS resonators: devices, structures, and processes

BPN976: Fully-Integrated MEMS-Based Wireless Receiver

Kevin H. Zheng
Qiutong Jin
Xintian Liu
2024

Recent MEMS process advancements from our group have enabled a class of low-temperature, thin-film ruthenium RF filters that can be processed directly on top of CMOS wafers. This work seeks to demonstrate the first low-IF receiver with fully-integrated MEMS-based RF channel-select filters, which permits low power applications in high-sensitivity, narrow-band software-defined communications and cognitive radio.

Project currently funded by: Member Fees

BPN828: Zero Quiescent Power Microelectromechanical Receiver

Qiutong Jin
Kevin H. Zheng
2024

This project aims to explore and demonstrate a mostly mechanical receiver capable of listening signals within low-frequency and very-low-frequency range. The receiver is designed to consume zero power at standby and consume very little power (nW) only when receiving valid bits.

Project currently funded by: Member Fees

Qiutong Jin

Graduate Student Researcher
Electrical Engineering and Computer Sciences
Professor Clark T.-C. Nguyen (Advisor)
Ph.D. 2025

Qiutong Jin received B.S. in Electrical Engineering from University of Iowa in 2019. She is currently pursuing a Ph.D. in MEMS in EECS at UC Berkeley under the supervision of Prof. Clark Nguyen.

Fall 2023 Research Review Presenter


BPNX1005: Transmission-Type Parametric Amplifier for Qubit Readout in CMOS

Wei-Yu Lin
2024

The parametric amplifier is a crucial electronic device in cryogenic signal amplification, finding applications across various scientific and engineering domains, particularly in quantum computing. Unlike conventional amplifiers that rely on active components like transistors, parametric amplifiers utilize the properties of nonlinear passive devices to achieve signal amplification. Over the past decade, superconducting parametric amplifiers have become the primary system type in parametric amplification research. Leveraging Josephson Junction nonlinearity, these devices can amplify weak...

BPN926: A Wireless, Implantable, Multicolor Fluorescence Image Sensor for Monitoring Response to Cancer Therapy

Rozhan Rabbani
Micah Roschelle
Mekhail Anwar
2023

We present a mm-sized, ultrasonically powered, lensless CMOS image sensor for wireless fluorescence microscopy. Access to real-time cellular-level information within the tissue can provide new insights for diagnosis and personalized treatment guidance across numerous medical conditions including cancer therapy. In cancer immunotherapy, for instance, where a priori identification of responders is challenging, real-time intratumoral information can aid early assessment of treatment response, identifying activation of the immune system leading to durable responses or rapid...

Alex Moreno

Graduate Student Researcher
Electrical Engineering and Computer Sciences
Professor Kristofer S.J. Pister (Advisor)
Ph.D. 2023
M.S. 2021

Alex Moreno received the B.S.E.E degree from the University of Texas at Dallas in 2017 and his M.S. in EECS from the University of California, Berkeley in 2021. He was awarded the NSF GRFP and UC Berkeley Chancellor's Graduate Fellowship in 2017. His research interests include low power wireless radios, mircorobotics and localization.

BPN867: Fully Integrated CMOS-Metal MEMS Systems

Kevin H. Zheng
Qiutong Jin
QianYi Xie
Kieran Peleaux
2022

As RF MEMS technology evolves to shift towards UHF frequencies, the parasitics inherent in hybrid fabrication approaches become the performance bottleneck. This project aims to integrate metal MEMS resonators directly over CMOS circuitry to achieve fully integrated MEMS systems. Pursuant to this goal, this project proposes several designs for UHF MEMS bandpass filters, exploring how different CMOS-compatible metals can yield performance metrics—such as quality-factor (Q), temperature stability and frequency drift—that are comparable to those of standard polysilicon MEMS resonators....

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.

NT18: MEMS RF Switch with Liquid Gallium Contacts

Qingquan Liu
2006

A self-healing MEMS RF switch, which utilizes liquid gallium contacts to take the place of the traditional metal-to-metal hard contacts, is proposed in this project. Electrostatic actuation is used to drive a silicon nitride diaphragm with upper electrodes. When the diaphragm is pulled down by the electrostatic force, small droplets of liquid gallium work as an interface between the upper and lower electrodes. The loss of the gallium droplets can be avoided due to the unwettability of the material surrounding the contact areas. In this project, hermit package and 1A DC current...

NT11: Tunable Inductors and Transformers Utilizing Electro-Thermal Vibromotors

Wen-Pin Shih
Zhihong Li
2004

The goal of this project is to develop on-chip tunable inductors and tunable transformers which have high inductance value and high tuning ratios. The potential applications include performance optimization and functionality enhancement to wireless communication, magnetic microsensors, and micromagnetic power devices, such as dc/dc converter.

Project end date: 08/18/04