Rational Modeling and Design of Piezoelectric Biomolecular Thin Films toward Enhanced Energy Harvesting and Sensing

Abstract The dynamic electromechanical coupling behavior of composite materials is highly dependent on external excitation frequency. While degradable biomolecular materials typically exhibit lower piezoelectric coefficients compared to ceramics, neglecting their frequency‐dependent performance in the design of piezoelectric devices further leads to less efficient utilization of their piezoelectric properties. This oversight greatly hinders the practical application of these materials. To address this, a novel fractional derivation (FD) theory‐assisted model is introduced to reversely design the glycine‐polyvinyl alcohol (PVA) thin films for versatile enhanced bio‐applications. An electromechanical coupling model incorporating FD theory is developed to learn the relationships between FD parameters, film dimensions, and dynamic electromechanical properties. This model accurately predicts the electromechanical performance of the films across a wide frequency range, validated by both finite element simulations and experimental results. This therefore allows to establish key design principles for piezoelectric thin film in bioenergy harvesting and sensing, by tailoring thin film parameters to enhance the piezoelectric performance at specific stimuli frequencies. Demonstrations of glycine‐PVA film devices guided by this model reveal excellent performance in ultrasonic energy harvesting and carotid artery bio‐signal sensing. This study provides a robust theoretical framework for designing and optimizing biodegradable piezoelectric materials for various practical applications.

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Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2024-09-13
DOI
https://doi.org/10.1002/adfm.202410566
Citations
14
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
2.58

Funders

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article

Rational Modeling and Design of Piezoelectric Biomolecular Thin Films toward Enhanced Energy Harvesting and Sensing

Liwei Dong, Fan Yang, Yun Ke, Jun Li et al.
14 citations
Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials
2.58
article

Rational Modeling and Design of Piezoelectric Biomolecular Thin Films toward Enhanced Energy Harvesting and Sensing

Liwei Dong, Fan Yang, Yun Ke, Jun Li, Yifan Liao, Mingyuan Gao, Yaowen Yang, Jiarui Wang
article en
14 citations

Abstract

Abstract The dynamic electromechanical coupling behavior of composite materials is highly dependent on external excitation frequency. While degradable biomolecular materials typically exhibit lower piezoelectric coefficients compared to ceramics, neglecting their frequency‐dependent performance in the design of piezoelectric devices further leads to less efficient utilization of their piezoelectric properties. This oversight greatly hinders the practical application of these materials. To address this, a novel fractional derivation (FD) theory‐assisted model is introduced to reversely design the glycine‐polyvinyl alcohol (PVA) thin films for versatile enhanced bio‐applications. An electromechanical coupling model incorporating FD theory is developed to learn the relationships between FD parameters, film dimensions, and dynamic electromechanical properties. This model accurately predicts the electromechanical performance of the films across a wide frequency range, validated by both finite element simulations and experimental results. This therefore allows to establish key design principles for piezoelectric thin film in bioenergy harvesting and sensing, by tailoring thin film parameters to enhance the piezoelectric performance at specific stimuli frequencies. Demonstrations of glycine‐PVA film devices guided by this model reveal excellent performance in ultrasonic energy harvesting and carotid artery bio‐signal sensing. This study provides a robust theoretical framework for designing and optimizing biodegradable piezoelectric materials for various practical applications.

Advanced Functional MaterialsVol. 34(51)
Tongji University (CN), University of Wisconsin–Madison (US), Southwest University (CN), Nanyang Technological University (SG), Shanghai Jiao Tong University (CN), Sichuan University (CN), Ruijin Hospital (CN), Shanghai Tunnel Engineering Rail Transit Design & Research Institute (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 10%
Advanced Sensor and Energy Harvesting Materials
2.58
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