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Texture Engineering Modulating Electromechanical Breakdown in Multilayer Ceramic Capacitors.
Wang, Jian; Shen, Zhong-Hui; Liu, Run-Lin; Shen, Yang; Chen, Long-Qing; Liu, Han-Xing; Nan, Ce-Wen.
Afiliación
  • Wang J; State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Center of Smart Materials and Devices, Wuhan University of Technology, Wuhan, 430070, China.
  • Shen ZH; State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Center of Smart Materials and Devices, Wuhan University of Technology, Wuhan, 430070, China.
  • Liu RL; International School of Materials Science and Engineering, Wuhan University of Technology, Wuhan, 430070, China.
  • Shen Y; International School of Materials Science and Engineering, Wuhan University of Technology, Wuhan, 430070, China.
  • Chen LQ; School of Materials Science and Engineering, State Key Lab of New Ceramics and Fine Processing, Tsinghua University, Beijing, 100084, China.
  • Liu HX; Department of Materials Science and Engineering, The Pennsylvania State University, University Park, Pennsylvania, PA, 16802, USA.
  • Nan CW; State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Center of Smart Materials and Devices, Wuhan University of Technology, Wuhan, 430070, China.
Adv Sci (Weinh) ; 10(16): e2300320, 2023 Jun.
Article en En | MEDLINE | ID: mdl-37026615
Understanding the electromechanical breakdown mechanisms of polycrystalline ceramics is critical to texture engineering for high-energy-density dielectric ceramics. Here, an electromechanical breakdown model is developed to fundamentally understand the electrostrictive effect on the breakdown behavior of textured ceramics. Taking the Na0.5 Bi0.5 TiO3 -Sr0.7 Bi0.2 TiO3 ceramic as an example, it is found that the breakdown process significantly depends on the local electric/strain energy distributions in polycrystalline ceramics, and reasonable texture design could greatly alleviate electromechanical breakdown. Then, high-throughput simulations are performed to establish the mapping relationship between the breakdown strength and different intrinsic/extrinsic variables. Finally, machine learning is conducted on the database from the high-throughput simulations to obtain the mathematical expression for semi-quantitatively predicting the breakdown strength, based on which some basic principles of texture design are proposed. The present work provides a computational understanding of the electromechanical breakdown behavior in textured ceramics and is expected to stimulate more theoretical and experimental efforts in designing textured ceramics with reliable electromechanical performances.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Adv Sci (Weinh) Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Adv Sci (Weinh) Año: 2023 Tipo del documento: Article País de afiliación: China
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