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Updated: Jan 26, 2026

Fabrication of Surface Acoustic Wave Devices on Lithium Niobate
Published on: June 18, 2020
Finite Element Analysis for Surface Acoustic Wave Device Characteristic Properties and Sensitivity
Tao Wang1,2,3, Ryan Green4,5, Rasim Guldiken6,7
1James A Haley VA Hospital, Tampa, FL 33612, USA. taowang@mail.usf.edu.
This study introduces a novel 3D finite element model for surface acoustic wave (SAW) biosensors, enhancing device design. The model accurately predicts performance, with the imaginary part of the response shift showing highest sensitivity.
Area of Science:
- Materials Science
- Electrical Engineering
- Biotechnology
Background:
- Surface Acoustic Wave (SAW) devices are crucial for electronics, telecommunications, and biosensors due to their cost-effectiveness and portability.
- Optimization of SAW device design is vital for developing new and existing sensors and transducers.
- A comprehensive three-dimensional (3D) finite element model for characterizing SAW biosensors has been lacking.
Purpose of the Study:
- To develop and validate a novel 3D finite element model for analyzing shear horizontal Love wave resonator devices.
- To provide a design guideline for future SAW device optimization.
- To correlate SAW device sensitivity with various performance parameters using a 3D model.
Main Methods:
- Developed a novel 3D finite element modeling approach for shear horizontal Love wave resonator devices.
- Verified the modeling methodology using fabricated devices.
- Performed a thorough analysis of the 3D model and experimental device, including S-parameters, reflection/transmission coefficients, and phase velocity.
Main Results:
- The 3D finite element model demonstrated a close match between simulated and experimental results.
- This is the first study to use a 3D finite element model to correlate SAW device sensitivity with phase shift, response components, insertion loss, and frequency shift.
- The imaginary part of the response shift was identified as the most sensitive parameter.
Conclusions:
- The developed 3D finite element model serves as an effective design guideline for optimizing SAW devices.
- The model accurately predicts device performance, facilitating future advancements in SAW biosensor technology.
- The findings highlight the superior sensitivity of the imaginary part of the response shift for SAW device characterization.
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