Session: Rising Stars of Mechanical Engineering Celebration & Showcase

Paper Number: 147798

147798 - Smart Surface Acoustic Wave Devices With Tunable and Reconfigurable Features 

Surface acoustic waves (SAWs) are a type of sound waves that propagate at the surface of elastic solids. They carry important information and can interact with piezoelectric substrates, which together lead to a wide range of applications including filtering, analog signal processing, and quantum acoustic devices. However, most SAW devices have fixed configurations and limited tunability, and their properties cannot be manipulated in real-time. Such a drawback limits the ability of current electronic devices that use SAW as a fundamental platform. It represents a major barrier to achieving smart and intelligent control of SAWs, which is a pursuit in the information era. This Faculty Early Career Development (CAREER) proposal aims to overcome this technological gap by developing and optimizing tunable SAW components that go beyond passive, single-functionality devices. Specifically, it allows for convenient and reconfigurable tuning of SAWs by supplying a small gate voltage. This research will enhance the fundamental understanding of SAWs propagating on piezoelectric substrates and realize monolithic smart SAW kernels that can be applied in various scenarios to ultimately enable intelligent integrated devices for sensing, communication, and biomedical applications. The program will also help mitigate barriers to high-quality STEM education through the partnership with local community colleges. It will advance the education and research experience of students at all levels, especially those from underrepresented groups to cultivate and retain them in the STEM fields.
The objective of this project is to develop novel integrated SAW devices with expanded functionality and tunability by harnessing the electro-acoustic effects. To achieve this, theoretical and numerical models will be established to quantify the piezoelectric and electromechanical couplings from a microscopic wave-matter interaction perspective. New tuning mechanisms with gate-tunable features will be identified based on both linear and nonlinear effects arising from SAW propagation. The material, configuration, and fabrication process associated with these tuning approaches will be systematically tested and optimized with the goal of reducing the voltage requirement and response time. Experimental measurements will be performed to demonstrate tunable SAW propagation with improved performance, capacity, and bandwidth. The developed tunable SAW component will serve as a smart kernel, which will be coupled with control circuits as well as other supporting hardware to realize intelligent and multi-functional integrated on-chip devices. The applicability of the proposed approach will be validated in a number of scenarios such as reconfigurable filtering, multi-functional sensing, and programmable SAW-based particle manipulation. The research will contribute to the development of next-generation smart SAW devices by providing a powerful approach that promotes a fundamental understanding of electrically induced elasticity modulation as well as gate-tunable components that can be integrated into diverse systems.

Presenting Author: Chen Shen Rowan University

Presenting Author Biography: Dr. Chen Shen is an Assistant Professor in the Department of Mechanical Engineering at Rowan University. His research interests are functional materials, acoustics, and structural health monitoring. Chen obtained his bachelor’s degree from Nanjing University in 2012 and Ph.D. degree in Mechanical Engineering at North Carolina State University in 2016. Dr. Shen has published over 50 peer-reviewed articles in the field of architected materials and acoustics, including articles in Physical Review Letters, Nature Communications, and Science Advances. He is a recipient of the National Science Foundation CAREER award, Chinese Government Award for Outstanding Students Abroad, EPL Distinguished Referee, PIERS Young Scientist Award, and Frances R. Lax Fund for Faculty Development.

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