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Thermal annealing effects on the dynamic photoresponse properties of Al-doped ZnO nanowires network

Title
Thermal annealing effects on the dynamic photoresponse properties of Al-doped ZnO nanowires network
Author(s)
Kim, Kang-PilChang, DaeicLim, Sang KyooLee, Soo-KeunLyu, Hong-KunHwang, Dae-Kue
Issued Date
2011-11
Citation
Current Applied Physics, v.11, no.6, pp.1311 - 1314
Type
Article
Author Keywords
AZO nanowiresUV photodetectorsAnnealing
Keywords
ULTRAVIOLET PHOTODETECTORSFABRICATION
ISSN
1567-1739
Abstract
In this study, UV photodetectors based on a network of aluminium-doped zinc oxide (AZO) nanowires were manufactured at a low cost; for this purpose, a fast and simple fabrication process that involved dropping nanowires dispersion solution was employed instead of the conventional e-beam lithography process that is used to manufacture single nanowire-based UV photodetectors. It was demonstrated that nanowire network-based UV photodetectors provide a much faster UV photoresponse than conventional single nanowire-based UV photodetectors. The fast UV photoresponse of the fabricated UV photodetector can be attributed to the fact that the potential barriers formed in the nanowire network junctions effectively block the flow of electrons during the process of photocurrent decay. Furthermore, the UV photoresponse under illumination by a 254 nm UV source was studied as a function of the annealing temperature of the AZO nanowires network at a bias of 5 V. The fabricated UV photodetector showed the fastest response of 2 s to UV illumination in air when the sample was annealed in air for 1 h at 300 °C. © 2011 Elsevier B.V. All rights reserved.
URI
http://hdl.handle.net/20.500.11750/2483
DOI
10.1016/j.cap.2011.03.065
Publisher
Elsevier B.V.
Related Researcher
  • 김강필 Kim, Kang-Pil
  • Research Interests Solar Cells; 태양전지; Photoelectrode; 광전극; Surface Treatment; 표면처리; Nanoparticle Synthesis; 나노입자합성; Device Process; 소자공정
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Appears in Collections:
Division of Energy & Environmental Technology 1. Journal Articles
Division of AI, Big data and Block chain 1. Journal Articles

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