Xiaoyu (Rayne) Zheng (Advisor)

Research Advised by Professor Xiaoyu (Rayne) Zheng

Zheng Group:  List of Projects | List of Researchers

Shuo Zhang

Graduate Student Researcher
Materials Science & Engineering
Professor Rayne Zheng (Advisor)
Ph.D. 2028 (Anticipated)

BPNX1013: Intelligent Acousto-electrical Metamaterials (IAM) for Sound Source Detection

Victor Couedel
Haotian Lu
Jiayan Zhang
2025

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...

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...

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.

BSAC Spring 2025 Research Review Presenter

Embedded 3D Printing of Isotropically Enhanced Lattice Structure with Programmable Elasticity via Three-Dimensional Fiber Alignment

Qiyi Chen
Siamak S. Shishvan
Shuo Zhang
James JuYoung Park
Angkur J.D. Shaikeea
Zhenpeng Xu
Seokpum Kim
Nadim S. Hmeidat
Hannelore Hemminger
Vikram S. Deshpande
Rayne Zheng
2025

Engineered composites with fiber orientation in a complete three-dimensional (3D) context are highly desired for maximizing structural performance as they mimic the well-organized fiber arrangement in natural composites. However, most fabrication techniques lack the capability for through-plane (z-axis) alignment, limiting the possibility for structural design and performance optimization. In this study, we present an embedded 3D printing approach that enables complete 3D fiber alignment, including region-specific alignment control along the through-plane direction. Our method utilizes the...

Zheng Lab: A Smarter Approach to Designing Metamaterials

July 22, 2025
AI-driven framework creates defect-tolerant materials with complex functionality July 22, 2025 by Marni Ellery| Article Published in UC Berkeley Engineering

Many industrial products — from car bumpers to aerospace panels and medical implants — owe their performance to lightweight, cellular materials. These hard-working synthetics are engineered to meet specific functionality goals, but too often, defects introduced during the fabrication process can lead to subpar performance or even catastrophic failure.

Now, a UC Berkeley-led team of researchers has developed a new AI-driven...

Wenjie (Jeff) Li

Graduate Student Researcher
Mechanical Engineering
Professor Rayne Zheng (Advisor)
Ph.D. 2030 (Anticipated)

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