Publications

Designing Metamaterials with Programmable Nonlinear Responses and Geometric Constraints in Graph Space

Marco Maurizi
Derek Xu
Yu-Tong Wang
Desheng Yao
David Hahn
Mourad Oudich
Anish Satpati
Mathieu Bauchy
Wei Wang
Yizhou Sun
Yun Jing
Rayne Zheng
2025

Advances in data-driven design and additive manufacturing have substantially accelerated the development of truss metamaterials—three-dimensional truss networks—offering exceptional mechanical properties at a fraction of the weight of conventional solids. While existing design approaches can generate metamaterials with target linear properties, such as elasticity, they struggle to capture complex nonlinear behaviours and to incorporate geometric and manufacturing constraints—including defects—crucial for engineering applications. Here we present GraphMetaMat, an autoregressive graph-based...

3D Imaging via Four PMUT Receivers by Compressed Sensing

Nikita Lukhanin
Divij Muthu
Chaoying Gu
Megan Teng
Kamyar Behrouzi
Chun-Ming Chen
Laura Waller
Liwei Lin
2026

We have successfully demonstrated three-dimensional (3D) ultrasound imaging via compressed sensing using piezoelectric micromachined ultrasonic transducers (pMUTs). This work reports the first experimental demonstration of compressed sensing with pMUTs, achieving 3D image reconstruction near the acoustic wavelength limit by only four receiving elements. Pseudo-random transmission signatures were encoded through frequency and delay modulation to enable high-fidelity reconstruction with a peak signal contrast of 28.7 dB. A 16-element lithium-niobate pMUT array operating at a resonant...

Ultra-Sensitive Nanosensor for Rapid Detection of PFAS in Simulated Drinking Water

Nikita Lukhanin
Keming Bai
Mia Wang
Declan M. Fitzgerald
Grigory Tikhomirov
Liwei Lin
2026

Per- and polyfluoroalkyl substances (PFAS) are a class of persistent synthetic compounds, often called “forever chemicals,” that pose a significant threat to public health and the environment. Standard detection methods primarily rely on liquid chromatography and mass spectrometry [1], which is expensive, time-intensive, and requires trained personnel and laboratory infrastructure. While emerging approaches using metal-organic frameworks (MOFs), molecularly imprinted polymers, and lateral flow assays have been explored, they have yet to provide a solution that simultaneously offers part-...

Intelligent Acousto-Electrical Metamaterials (IAM) for Sound Source Detection

Victor Couedel
Haotian Lu
Jiayan Zhang
Desheng Yao
Ananya Bhardwaj
Romiro Contreras
Karim Sabra
Rayne Zheng
2026

Acoustic transducers are essential for object localization and environmental sensing. Conventional transducers rely on piezoelectric crystals, whose acoustic-electric response is fixed by the crystal lattice's inherent asymmetry and orientation. This results in static coupling behavior, necessitating bulky arrays of rigid elements with complex wiring and high computational demands for directional sensing. Here, we report a fundamentally new class of acoustic-electric coupling that emerges from topology-governed charge transport in 3D micro-architected piezoelectric metamaterials. Unlike...

CMOS-Embedded Microfluidics for Channel-Addressable Parallel Readout of SPAD Fluorescence Lifetime Sensors

Max Ladabaum
Alexander Di
Julian M. Bao
Grigory Tikhomirov
Jun-Chau Chien
2026

We present the integration of CMOS-embedded subtractive microfluidics with single-photon avalanche diode (SPAD) fluorescence lifetime sensors, enabling independent channel addressability for parallel readout. Microfluidic channels are realized by selectively wet-etching the back-end-of-line (BEOL) metal routing above the SPAD sensors, reducing the analyte-to-active-region spacing to 7 μm while allowing for precision alignment. Simultaneous readout from two SPADs underneath two separate fluidic channels is demonstrated, establishing a pathway toward a scalable, multiplexed lab-on-CMOS...

Subtractive Nanofludics in 65-nm CMOS Copper BEOL Achieve 100-nm Width

Alexander Di
Michael Pedowitz
Jun-Chau Chien
2026

This paper presents the first implementation of 100- nm-wide nanofluidics in a 65-nm CMOS chip using a one- step wet-etch to remove the copper routing from the back- end-of-line (BEOL) while maintaining transistor integrity through continuous monitoring of the IDS-VGS characteristics. Vertical fluidics are also successfully demonstrated by etching through 360 nm × 360 nm-sized vias. A non-destructive laser microscopy technique for imaging fluidic channels at a dimension below the visible- light wavelength is developed.

Keywords: CMOS, subtractive nanofluidics, microfluidics, BEOL...

Mechanically Flexible Mid-Wave Infrared Imagers using Black Phosphorus Ink Films

Theodorus Jonathan Wijaya
Naoki Higashitarumizu
Shifan Wang
Shogo Tajima
Hyong Min Kim
Shu Wang
Dehui Zhang
James Bullock
Tomoyuki Yokota
Takao Someya
Ali Javey
2025

The mid-wave infrared (MWIR) spectral range (λ = 3–8 μm) enables important sensing and imaging applications, including non-invasive bioimaging, night vision, and autonomous navigation. Commercial MWIR photodetectors are limited to rigid imagers based on heteroepitaxial materials. There is an emerging need for mechanically flexible MWIR imagers to broaden their functionality and practicality. Recently, photodetectors using van der Waals (vdW) black phosphorus (BP) flakes have demonstrated highly sensitive room-temperature photodetection. Additionally, vdW materials are solution-processable...

Observation of Interface Piezoelectricity in Superconducting Devices on Silicon

Haoxin Zhou
Eric Li
Kadircan Godeneli
Zi-Huai Zhang
Shahin Jahabani
Kangdi Yu
Mutasem Odeh
Shaul Aloni
Sinead Griffin
Alp Sipahigil
2025

The evolution of superconducting quantum processors is driven by the need to reduce errors and scale for fault-tolerant computation. Reducing physical qubit error rates requires further advances in the microscopic modeling and control of decoherence mechanisms in superconducting qubits. Piezoelectric interactions contribute to decoherence by mediating energy exchange between microwave photons and acoustic phonons. Centrosymmetric materials like silicon and sapphire do not display piezoelectricity and are the preferred substrates for superconducting qubits. However, the broken...

Megan Teng

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

Megan Teng is a Ph.D. student in Mechanical Engineering at UC Berkeley, specializing in MEMS, sensor design, and machine learning. Her research focuses on PMUT-based volumetric environment sensing. She holds dual bachelor’s degrees in Mechanical Engineering and International Business from National Taiwan University and is a recipient of the Katherine & James Lau Fellowship.

BSAC Spring 2025 Research Review Presenter

Resonant Switch Receivers

Qiutong Jin
Clark T.-C. Nguyen
2025

This thesis presents the design, fabrication, testing, and performance analysis of micromechanical resonant switches, or "resoswitches," as an innovative alternative to traditional transistor-based components in ultra-low-power wireless communication systems. By harnessing mechanical resonance, resoswitches introduce a novel paradigm for energy efficient receivers with promising applications in remote sensing, RFID, environmental monitoring, and other domains where power conservation is crucial. Unlike conventional electronic components, resoswitches consume no standby power, allowing for...