Journal article 686 views 85 downloads
High-Performance NiO/TiO2/ZnO Photovoltaic UV Detector
Sensors, Volume: 23, Issue: 5, Start page: 2741
Swansea University Author: Vincent Teng
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2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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DOI (Published version): 10.3390/s23052741
Abstract
The ultraviolet (UV) photodetector has found many applications, ranging from optical communication to environmental monitoring. There has been much research interest in the development of metal oxide-based UV photodetectors. In this work, a nano-interlayer was introduced in a metal oxide-based heter...
Published in: | Sensors |
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ISSN: | 1424-8220 |
Published: |
MDPI AG
2023
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa62776 |
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Abstract: |
The ultraviolet (UV) photodetector has found many applications, ranging from optical communication to environmental monitoring. There has been much research interest in the development of metal oxide-based UV photodetectors. In this work, a nano-interlayer was introduced in a metal oxide-based heterojunction UV photodetector to enhance the rectification characteristics and therefore the device performance. The device, which consists of nickel oxide (NiO) and zinc oxide (ZnO) sandwiching an ultrathin dielectric layer of titanium dioxide (TiO2), was prepared by radio frequency magnetron sputtering (RFMS). After annealing, the NiO/TiO2/ZnO UV photodetector exhibited a rectification ratio of 104 under UV irradiation of 365 nm at zero bias. The device also demonstrated a high responsivity of 291 A/W and a detectivity of 6.9 × 1011 Jones at +2 V bias. Such a device structure provides a promising future for metal oxide-based heterojunction UV photodetectors in a wide range of applications. |
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Keywords: |
NiO; TiO2; ZnO; heterojunction; UV detector |
College: |
Faculty of Science and Engineering |
Funders: |
This research was funded by the Yunnan Province Innovation Team Project (Grant
No. 2018HC020) and National Key Research and Development Program of China (Grant No.
2019YFB2203404). |
Issue: |
5 |
Start Page: |
2741 |