石墨烯及其複合材料應用於超級電容之研究 ; Study on the Application of Graphene and Its Composite Materials to Supercapacitors

Content Provider	Semantic Scholar
Author	彭佑宇 蒲念文 傅勇銘 劉益銘 葛明德 Peng, You-Yu Nen-Wen, Pu Youn-Ming, Fu Yih-Ming, Liu Ming-Der, Ger
Copyright Year	2014
Abstract	Graphene is very suitable for application to supercapacitors as an electrode material due to its excellent conductivity, specific surface area, *通訊作者:葛明德,e-mail: mingderger@gmail.com Corresponding author: Ming-Der Ger, e-mail: mingderger@gmail.com 188 技術學刊 第二十九卷 第三期 民國一○三年 and unique shape and structure. In this study, we produced graphene by chemical oxidation/intercalation of graphite, followed by a thermal reduction/exfoliation step. We also studied its application to supercapacitors. In the first part of our experiment, we found that graphene can give a higher specific capacitance (218 F/g) than carbon nanotubes (CNTs) (73 F/g). In addition, at a high scan rate of 100 mV/s, the capacitance retention of graphene (72%) was also higher than that of CNTs (63%). In the second part, graphene was mixed with different carbon materials (CNTs, carbon black, and graphite) to form composites and their electrochemical properties were compared. The results showed that adding a small amount of CNTs into graphene gave the best specific capacitance (236 F/g at a scan rate of 10 mV/s). Presumably CNTs can prevent the restacking of graphene flakes and increase the effective utilization of graphene’s surface area, leading to a higher specific capacitance. In addition, CNTs may bridge the gaps between graphene flakes and increase the conductivity of the electrode. The AC impedance analysis also revealed that, compared to other carbon materials, the composite of CNTs and graphene had the lowest internal electric resistance and thus the best performances.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://ir.lib.ntust.edu.tw/bitstream/987654321/43952/2/%E7%9F%B3%E5%A2%A8%E7%83%AF%E5%8F%8A%E5%85%B6%E8%A4%87%E5%90%88%E6%9D%90%E6%96%99%E6%87%89%E7%94%A8%E6%96%BC%E8%B6%85%E7%B4%9A%E9%9B%BB%E5%AE%B9%E4%B9%8B%E7%A0%94%E7%A9%B6.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article