Catalyst-free CVD synthesis of ZnO nanowire networks on SiO2substrate and its photoresponse
文献类型：会议论文
| 作者 | Xu, Liping1,2; Lu, Wenqiang1 ; Zhan, Zhaoyao1; Cui, Hongliang1,2; Weng, Zhankun3
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| 出版日期 | 2016 |
| 会议日期 | July 18, 2016 - July 22, 2016 |
| 会议地点 | Chongqing, China |
| DOI | 10.1109/3M-NANO.2016.7824972 |
| 页码 | 191-194 |
| 通讯作者 | Lu, Wenqiang (wqlu@cigit.ac.cn) |
| 英文摘要 | High-purity ZnO nanowire networks were directly synthesized on SiO2/Si substrates via catalyst-free chemical vapor deposition. we grow single-crystal ZnO nanowire networks through the reactive ion etching make a rough SiO2/Si substrate surface, which ZnO nanowire networks can grow in the RIE etched area and do not need any pre-deposited metal catalyst or seed layer. The as-grown ZnO nanowire networks achieved on SiO2/Si substrates have good crystal quality with the hexagonal wurtzite phase containing very less structural defects and transfer-free to fabricate UV photodetector, which showed high performance in photocurrent and response speed. Moreover, the fabrication of UV photodetector method we showed here, which would dramatically lower the complexity of the nanodevice fabrication processes and vigorously promot the application of ZnO nanostructures in nanoelectronics and optoelectronics. © 2016 IEEE. |
| 会议录 | 6th IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale, IEEE 3M-NANO 2016
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| 语种 | 英语 |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/4810]  |
| 专题 | 微纳制造与系统集成研究中心 太赫兹技术研究中心 |
| 作者单位 | 1.Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing; 400714, China; 2.College of Instrumentation and Electrial Engineering, Jilin University, Changchun; 130026, China; 3.JR3CN and CNM, Changchun University of Science and Technology, Changchun; 130022, China |
| 推荐引用方式 GB/T 7714 | Xu, Liping,Lu, Wenqiang,Zhan, Zhaoyao,et al. Catalyst-free CVD synthesis of ZnO nanowire networks on SiO2substrate and its photoresponse[C]. 见:. Chongqing, China. July 18, 2016 - July 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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