Computational Simulation for Breakdown and Energy Storage Performances with Optimization in Polymer Dielectrics

被引:24
|
作者
Yue, Dong [1 ,2 ]
Yin, Jing-Hua [1 ,2 ]
Zhang, Wen-Chao [2 ]
Cheng, Xiao-Xing [3 ]
Zhang, Mao-Hua [3 ]
Wang, Jian-Jun [3 ]
Feng, Yu [2 ]
机构
[1] Harbin Univ Sci & Technol, Sch Mat Sci & Chem Engn, Harbin 150080, Peoples R China
[2] Harbin Univ Sci & Technol, Key Lab Engn Dielect & Its Applicat, Minist Educ, Harbin 150080, Peoples R China
[3] Penn State Univ, Depart Mat Sci & Engn, University Pk, PA 16802 USA
基金
国家重点研发计划; 中国博士后科学基金; 中国国家自然科学基金; 黑龙江省自然科学基金;
关键词
breakdown strength; computational simulations; energy storage performance; machine learning; polymer dielectric; POLY(VINYLIDENE FLUORIDE); DISCHARGE EFFICIENCY; POLYIMIDE COMPOSITES; HIGH-PERMITTIVITY; NANOCOMPOSITES; DENSITY; STRENGTH; INTERFACE; FILMS; CONSTANT;
D O I
10.1002/adfm.202300658
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The breakthrough of energy storage technology will enable energy distribution and adaptation across space-time, which is revolutionary for the generation of energy. Optimizing the energy storage performance of polymer dielectrics remains challenging via the physical process of electrical breakdown in solid dielectrics is hard to be intuitively obtained. In this review article, the application of computational simulation technologies is summarized in energy-storage polymer dielectrics and the effect of control variables and design structures on the material properties with an emphasis on dielectric breakdown and energy storage performance are highlighted. The prediction and evaluation of material properties by combining various data analysis methods are reviewed. Finally, the outlook and challenges are discussed based on their current developments. This article covers not only an overview of the state-of-the-art advances of breakdown modeling in energy-storage polymer dielectrics but also the prospects that provide a new knob to synthesize high energy-storage polymer dielectrics via computational simulation and a new research paradigm.
引用
收藏
页数:33
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