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Optimizing Piezoelectric Nanocomposites by High-Throughput Phase-Field Simulation and Machine Learning.
Li, Weixiong; Yang, Tiannan; Liu, Changshu; Huang, Yuhui; Chen, Chunxu; Pan, Hong; Xie, Guangzhong; Tai, Huiling; Jiang, Yadong; Wu, Yongjun; Kang, Zhao; Chen, Long-Qing; Su, Yuanjie; Hong, Zijian.
Afiliación
  • Li W; School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, P. R. China.
  • Yang T; School of Materials Science and Engineering, The Pennsylvania State University, University Park, PA, 16802, USA.
  • Liu C; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, P. R. China.
  • Huang Y; Lab of Dielectric Materials, School of Materials Science and Engineering, Zhejiang University, Hangzhou, 310027, P. R. China.
  • Chen C; School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, P. R. China.
  • Pan H; School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, P. R. China.
  • Xie G; School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, P. R. China.
  • Tai H; School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, P. R. China.
  • Jiang Y; School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, P. R. China.
  • Wu Y; Lab of Dielectric Materials, School of Materials Science and Engineering, Zhejiang University, Hangzhou, 310027, P. R. China.
  • Kang Z; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, P. R. China.
  • Chen LQ; School of Materials Science and Engineering, The Pennsylvania State University, University Park, PA, 16802, USA.
  • Su Y; School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, P. R. China.
  • Hong Z; Lab of Dielectric Materials, School of Materials Science and Engineering, Zhejiang University, Hangzhou, 310027, P. R. China.
Adv Sci (Weinh) ; 9(13): e2105550, 2022 05.
Article en En | MEDLINE | ID: mdl-35277947
Piezoelectric nanocomposites with oxide fillers in a polymer matrix combine the merit of high piezoelectric response of the oxides and flexibility as well as biocompatibility of the polymers. Understanding the role of the choice of materials and the filler-matrix architecture is critical to achieving desired functionality of a composite towards applications in flexible electronics and energy harvest devices. Herein, a high-throughput phase-field simulation is conducted to systematically reveal the influence of morphology and spatial orientation of an oxide filler on the piezoelectric, mechanical, and dielectric properties of the piezoelectric nanocomposites. It is discovered that with a constant filler volume fraction, a composite composed of vertical pillars exhibits superior piezoelectric response and electromechanical coupling coefficient as compared to the other geometric configurations. An analytical regression is established from a linear regression-based machine learning model, which can be employed to predict the performance of nanocomposites filled with oxides with a given set of piezoelectric coefficient, dielectric permittivity, and stiffness. This work not only sheds light on the fundamental mechanism of piezoelectric nanocomposites, but also offers a promising material design strategy for developing high-performance polymer/inorganic oxide composite-based wearable electronics.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Nanocompuestos Tipo de estudio: Prognostic_studies Idioma: En Revista: Adv Sci (Weinh) Año: 2022 Tipo del documento: Article Pais de publicación: Alemania
Texto completo
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Nanocompuestos Tipo de estudio: Prognostic_studies Idioma: En Revista: Adv Sci (Weinh) Año: 2022 Tipo del documento: Article Pais de publicación: Alemania