谷歌浏览器插件
订阅小程序
在清言上使用

Improving electrochemical properties of carbon nanotubes/reduced graphene oxide composite fibers by chemical modification

Applied Physics A(2022)

引用 1|浏览2
暂无评分
摘要
To promote application of graphene fiber as electrode for supercapacitors, carbon nanotubes (CNTs)/reduced graphene oxide (RGO) composite fibers were fabricated with GO/polyacrylonitrile (PAN) fibers using chemical vapor deposition method, and then treated with mixed acid to modify the hydrophilicity of the fiber. Transformation of excellent nano-scale properties of graphene and CNTs into macroscopic material properties was realized. The GO/PAN fiber was prepared by wet spinning and thermal stabilized in advance before in situ growth of CNTs to the fiber. Structures and electrochemical properties of the CNTs/RGO composite fiber were investigated. Interaction between GO and PAN during stabilization resulted in less mass loss of the fiber. The CNTs/RGO composite fibers exhibited a specific surface area of 87.873 m 2 g −1 with large quantity of entwined CNTs about 39–130 nm in diameter and centimeters in length. Increase of 37.43% oxygen-containing functional groups greatly improved the hydrophilicity of the fiber after chemical modification. The specific capacitance increased from 34 to 141 F g −1 at 0.1 A g −1 for the CNTs/RGO composite fibers due to improved ionic accessibility and pseudo-capacitance provided by oxygen-containing functional groups. The chemical modified CNTs/RGO fiber is suitable for electrode material of supercapacitors due to its excellent cycle stability with specific capacitance retention of 96% after 2500 cycles of the charge/discharge process and low ESR and R ct . A method for the synthesis of CNTs/RGO composite fibers with good three-dimensional structures and an idea of modifying ionic accessibility to improve the electrochemical performance of the fibers was presented.
更多
查看译文
关键词
Graphene oxide, Polyacrylonitrile, Carbon nanotube, Supercapacitor, Chemical modification, Electrochemical properties
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