Liwei Lin (Advisor)

Research Advised by Professor Liwei Lin

Lin Group:  List of Projects | List of Researchers

BSAC's Best: Spring 2023 Awards Announced

April 20, 2023

BSAC would like to thank all of the researchers who presented their research during BSAC's Spring 2023 Research Review on April 19th.

BSAC Industrial Members voted for the outstanding paper and presentations and the results are in. Please join BSAC in congratulating the recipients of the Spring 2023 Best of BSAC honors, Peisheng He, Daniel Klawson, and Kevin Zheng!

Peisheng He (Liwei Lin Group), Best of BSAC S2023 ...

Safe and Deformable Soft Batteries

Peisheng He
2023
Spring 2023 BSAC Research Review Presentation View Slides View this Presentation at 55:40

Winner: Best Oral Presentation (Spring 2023) Project: BPN993 - Liwei Lin Group

BPN962: Insect-Scale Flying Robots

Fanping Sui
Kamyar Behrouzi
Wei Yue
2022

Insect-scale untethered flight with maneuverability is very challenging toward possible practical applications and attitude-stabilized flight (hovering) is one of the first steps for long-time air flight operations. In this project, we introduce the insect-scale, untethered, rotating-wing aerial vehicles with inherent stability by the gyroscopic effect to achieve several key advancements: (1) powered by alternating magnetic fields wirelessly; (2) 160-mg in weight and 20.0-mm-in-diameter in size – smallest untethered flying robot in the world; and (3) attitude-stabilized flights (...

Wu Lab: Tiny Switches Give Solid-State LiDAR Record Resolution

March 9, 2022

When Google unveiled its first autonomous cars in 2010, the spinning cylinder mounted on the roofs really stood out. It was the vehicle’s light detection and ranging (LiDAR) system, which worked like light-based radar. Together with cameras and radar, LiDAR mapped the environment to help these cars avoid obstacles and drive safely.

Since then, inexpensive, chip-based cameras and radar systems have moved into the mainstream for collision avoidance and autonomous highway driving. Yet, LiDAR navigation systems remain unwieldy mechanical devices that cost thousands of...

Auto-Posting and Haptic Stimulations via a 35mm Square pMUT Array

Wei Yue
Yande Peng
Hanxiao Liu
Fan Xia
Fanping Sui
Seiji Umezawa
Shinsuke Ikeuchi
Yasuhiro Aida
Liwei Lin
2023

This work reports an engineered platform for the non-contact haptic stimulation on human skins by means of an array of piezoelectric micromachined ultrasonic transducer (pMUT) via the beamforming scheme. Compared to the state-of-art reports, three distinctive achievements have been demonstrated: (1) individual single pMUT unit based on lithium niobate (LN) with measured high SPL (sound pressure level) of 133 dB at 2 mm away; (2) a beamforming scheme simulated and experimentally proved to generate ~2.3x higher pressure near the focal point; and (3) the combination of auto-positioning and...

Drone-Mounted Low-Frequency pMUTs for > 6-Meter Rangefinder in Air

Hanxiao Liu
Yande Peng
Wei Yue
Seiji Umezawa
Shinsuke Ikeuchi
Yasuhiro Aida
Chunming Chen
Peggy Tsao
Ying Dong
Xiaohao Wang
Liwei Lin
2023

This paper reports a low-frequency piezoelectric micromachined ultrasonic transducer (pMUT)
with a small attenuation coefficient to realize the long-distance rangefinding applications in air.
Pulse-detection measurements of one pair of pMUT devices show a >6-meter traveling distance in
air under a 37.32 kHz driving frequency. As an example, two pMUT chips are mounted on two...

Trial-and-Error Learning for MEMS Structural Design Enabled by Deep Reinforcement Learning

Fanping Sui
Wei Yue
Ziqi Zhang
Ruiqi Guo
Liwei Lin
2023

We present a systematic MEMS structural design approach via a “trial-and-error” learning process by using the deep reinforcement learning framework. This scheme incorporates the feedbackfrom each “trial” to obtain sophisticated strategies for MEMS design optimizations. Disk-shaped resonators are selected as case studies and three remarkable advancements have been realized:1) accurate overall performance predictions (97.9%) via supervised learning models; 2) efficientMEMS structural optimizations to guarantee targeted structural properties with an excellent generation accuracy of 97.7%; and...

High-SPL and Low-Driving-Voltage pMUTs by Sputtered Potassium Sodium Niobate

Fan Xia
Yande Xia
Sedat Pala
Ryuichi Arakawa
Wei Yue
Pei-Chi Tsao
Chun-Ming Chen
Hanxiao Liu
Megan Teng
Jongha Park
Liwei Lin
2023

This work presents an air-coupled piezoelectric micromachined ultrasonic transducer (pMUT) with
high transmitting acoustic pressure by using sputtered potassium sodium niobate (K,Na)NbO3
(KNN) thin film with a high piezoelectric coefficient (e31 ~ 8-10 C/m2) and low dielectric constant
(er ~ 260-300) for the first time. The fabricated KNN pMUT with a resonant frequency at 104.5 kHz
has been tested to exhibit unprecedented results: (1) high sound pressure level (SPL) of 109 dB/V
at a distance of 10 cm, which is 8 times higher than that of AlN-based pMUTs at a similar
...

Megan Teng

Graduate Student Researcher
Mechanical Engineering
Professor Liwei Lin (Advisor)
Ph.D. 2027 (Anticipated)

BSAC Co-Director, Professor Liwei Lin Named 2022 Bakar Fellows Spark Award Recipient

August 1, 2022

Liwei Lin, Bakar Fellow Spark Award Recipient 2022

The Bakar Fellows Spark Award is designed to accelerate Berkeley faculty-led research to tangible, positive societal impact through commercialization. Through a competitive application process, faculty members are selected as Bakar Faculty Fellows and awarded discretionary research support to fulfill proposed milestones and move their innovative...