Spiral-Structured Dielectric Polymers Exhibiting Ultrahigh Energy Density and Charge-Discharge Efficiency at High Temperatures

Advanced materials (Deerfield Beach, Fla.)(2023)

引用 0|浏览8
暂无评分
摘要
The growing need for high-power and compact-size energy storage in modern electronic and electrical systems demands polymer film capacitors with excellent temperature capability. However, conventional polymer dielectrics feature dramatic deterioration in capacitive performance under concurrent high temperature and electric field because the high thermal stability traditionally relies on the conjugated, planar molecular segments in the polymer chains. Herein, inspired by the stable double helix structures of deoxyribonucleic acid, spiral-structured dielectric polymers that exhibit simultaneous high thermal stability and great capacitive performance are demonstrated. Both the experimental results and computational simulations confirm that the spiral groups serve to weaken the electrostatic molecular interaction, induce proper molecular chain stacking structure, and regulate the charge transfer process by breaking the conjugated planes and introducing deep trap sites. The resultant polymer exhibits the maximum discharged energy densities of 7.29 and 6.13 J cm-3 with the charge-discharge efficiency above 90% at 150 and 200 degrees C, respectively, more than ten times those of the original dielectric at the same conditions. Here a completely new dimension is offered for the molecular design of polymers, giving rise to well-balanced thermal and dielectric properties, and ultimately the desired capacitive energy storage performance at high temperatures. Spiral-structured dielectric polymers are demonstrated to avoid the electronic conjugation of the polymer chain while maintaining a decent thermal stability, as inspired by the double helix structure of DNA, leading to ultrahigh energy density of 7.29 and 6.13 J cm-3 with charge-discharge efficiency above 90% at 150 and 200 degrees C, respectively.image
更多
查看译文
关键词
dielectric polymers
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要