Xiaoyu (Rayne) Zheng (Advisor)

Research Advised by Professor Xiaoyu (Rayne) Zheng

Zheng Group:  List of Projects | List of Researchers

Qiyi Chen

Alumni
Materials Science & Engineering
Professor Rayne Zheng (Advisor)
PostDoc 2024 to 2025

Marco Maurizi

Postdoctoral Researcher
Materials Science & Engineering
Professor Rayne Zheng (Advisor)
PostDoc 2022 to present

Desheng Yao

Alumni
Materials Science & Engineering
Professor Rayne Zheng (Advisor)
PostDoc 2024

David Hahn

Graduate Student Researcher
Mechanical Engineering
Professor Rayne Zheng (Advisor)
Ph.D. 2026 (Anticipated)

David Hahn is currently pursuing a PhD program in Mechanical Engineering at UC Berkeley. Prior to joining UC Berkeley, he was a Mechanical Design Engineer at OFS (Optical Fiber Solutions) FITEL in Atlanta, GA. He received BS and MS in Mechanical Engineering from Georgia Tech.

BPNX1029: Multi-Mode Multi-Direction High-Resolution Tactile Haptics and Sensing Duo-Functional Device using Piezoelectric Metamaterial

Jiayan Zhang
William Dong
2025

Texture sensing and feedback are critical milestones for unlocking truly dexterous robotics, advancing human-machine interaction, and enhancing teleoperation tasks. While existing systems utilizes pneumatics, vibration motors and other elementary methods to provide basic feedback, they lack the capability to translate data into rich, high-resolution haptic displays required to replicate the nuanced spectrum of human touch. Here, we aim to develop the first-ever fabrics capable of both high-fidelity contact sensing and reproducing touch experiences with the resolution and complexity of...

BPNX1046: Multi-Material DLP Printing for 3D Electronics via Selective Deposition (New Project)

David Hahn
Haotian Lu
Ju Young Park
Wenjie (Jeff) Li
Jiayan Zhang
2025

The development of 3D MEMS devices has enabled innovative sensor designs with enhanced functionality, yet conventional fabrication methods often impose geometric and process limitations. This work presents a micro-3D-printed tactile sensor, integrating 3D piezoelectric, capacitive, conductive and dielectric elements with a compliant mechanism to achieve high sensitivity and force decoupling capability. The sensor is fabricated using a multi-material digital light processing (DLP) method, followed by selective metallization to define conductive regions, enabling seamless...

BPNX1013: 3D Printing of Architected Hydrophones with Designed Beam Patterns

Victor Couedel
Haotian Lu
2025

Piezoelectric hydrophones are crucial for underwater applications such as communication and seafloor mapping. Limited by the brittleness of piezoelectric ceramics, conventional manufacturing methods restrict hydrophones’ shapes to simple geometries such as disks, cylinders, or spheres, which limits the sensitivity, directivity pattern, and working frequency bandwidth of the device.


We are developping a new class of high-performance 3D printed piezoelectric hydrophones consisting of rationally designed micro-architectures. Using a high-
...

BPNX1014: Data-Driven Design of Metamaterials

Marco Maurizi
David Hahn
Anish Satpati
Desheng Yao
2025

The rapid development of additive manufacturing technologies has enabled the fabrication of truss metamaterials, i.e., a novel class of lightweight-yet-strong materials with engineered complex hierarchical structures. Manipulating the architecture over chemical composition dramatically expands the achievable materials design space, allowing to largely control the mechanical response of metamaterials. Despite the great advances made in this area, designing three-dimensional (3D) truss metamaterials under complex or extreme conditions with programmable response is still a...

BPNX1033: Multi-Objective Inverse Design of Impact Resistant Metamaterials Under Varying Strain Rates (New Project)

Anish Satpati
Marco Maurizi
2025

This work pertains to the multi-objective inverse design of impact-resistant metamaterials under varying strain rates. Impact-resistant materials are desirable in a wide range of applications, such as sports, automobiles, military, and aircraft, to name a few. Existing literature deals with refining these structures by performing quasi-static finite element (FE) simulations and then verifying them experimentally, which is a time-consuming and expensive process. Moreover, beyond the low-velocity regime, quasi-static simulations are not representative of real-world dynamic...