First-Principles Calculations and PMUT Applications of Piezoelectric Thin-Film Materials
Chengwei Che1, Shanqing Yi1, Caishuo Zhang1
1School of Electronic and Information Engineering, Soochow University, Suzhou 215006, China.
This study presents a new framework for designing piezoelectric micromachined ultrasonic transducers (PMUTs). It uses first-principles calculations and multiphysics simulations to improve accuracy for medical imaging and sensing applications.
Area of Science:
- Materials Science
- Physics
- Engineering
Background:
- High-performance piezoelectric micromachined ultrasonic transducers (PMUTs) are vital for portable medical imaging and sensing.
- Variability in piezoelectric thin films like ScAlN and PZT can lead to inaccurate material parameters, affecting device simulation accuracy.
Purpose of the Study:
- To introduce an optimization framework combining first-principles calculations and multiphysics simulations for enhanced PMUT design.
- To improve simulation accuracy for PMUTs by addressing inconsistencies in piezoelectric material parameters.
Main Methods:
- Atomistic calculations were performed to analyze the intrinsic properties of PZT and ScAlN.
- Finite-element models were calibrated using first-principles data to address missing or inaccurate material parameters.
- An efficient analytical acoustic-field model was developed to reduce computational cost compared to full-wave simulations.
Main Results:
- PZT was confirmed to be better suited for actuation due to its higher electromechanical coupling coefficient.
- The developed analytical model significantly reduced computational cost while maintaining accuracy for large-array topology optimization.
- Hexagonal PMUT elements demonstrated superior performance over circular elements, achieving higher Sound Pressure Level (SPL) and operating frequency.
Conclusions:
- The proposed modeling approach, based on intrinsic material properties, provides a robust theoretical foundation for designing high-precision, low-power ultrasonic devices.
- Optimized PMUT designs using this framework can lead to improved spatial resolution and sensitivity in medical imaging and sensing.
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