Preparation and Characterisation of Graphene Oxide/carbon Nanotubes Films
文献类型:会议论文
作者 | Wang, Xiao![]() ![]() |
出版日期 | 2016 |
会议日期 | JUL 18-22, 2016 |
会议地点 | Chongqing, PEOPLES R CHINA |
页码 | 347-351 |
通讯作者 | Wang, X (reprint author), Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing, Peoples R China. |
英文摘要 | Three types of carbon nanotubes (CNTs) that were single-walled carbon nanotube (SWCNT), multi-walled carbon nanotubes (MWCNTs) and multi-walled carbon nanotubes with hydroxyl groups (MWCNTs-OH), were used to fabricate a series of graphene oxide (GO)/CNTs hybrid thin films by a simple solution casting method. The hybrid films showed excellent self-capacitance. The capacitance of the hybrid films was strongly dependent on the types of the CNTs and the size of GO/CNTs films. The hybrid films with MWCNTs or MWCNTs-OH incorporated showed significant high capacitance, compared with that of GO/SMCNT films. The maximal specific capacitance was 113.19 F/g observed in GO/MWCNTs film with 83 wt% MWCNTs incorporated. The capacitance of the films was further elevated by altering the film sizes. The effects of the microstructure and film size on the electrical properties were assessed. Moreover, quantum effect was clearly observed in thick hybrid films. The origin of the quantum effect was revealed based on the analysis of the layer-by-layer structure of the hybrid films. |
会议录 | 2016 6TH IEEE INTERNATIONAL CONFERENCE ON MANIPULATION, MANUFACTURING AND MEASUREMENT ON THE NANOSCALE (IEEE 3M-NANO)
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语种 | 英语 |
ISSN号 | 2373-5422 |
WOS记录号 | WOS:000393187700070 |
源URL | [http://119.78.100.138/handle/2HOD01W0/376] ![]() |
专题 | 微纳制造与系统集成研究中心 中国科学院重庆绿色智能技术研究院 |
作者单位 | (1) Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing, Peoples R China; (2) Univ Loughborough, Dept Mat, Loughborough, Leics, England |
推荐引用方式 GB/T 7714 | Wang, Xiao,Ren, Yiwei,Song, Mo,et al. Preparation and Characterisation of Graphene Oxide/carbon Nanotubes Films[C]. 见:. Chongqing, PEOPLES R CHINA. JUL 18-22, 2016. |
入库方式: OAI收割
来源:重庆绿色智能技术研究院
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