王莉  (副教授)

硕士生导师

出生日期:1977-12-05

所在单位:电子科学系

学历:研究生(博士)毕业

性别:女

联系方式:wlhgd@hfut.edu.cn 13856077125

学位:博士学位

毕业院校:中国科学院固体物理研究所

学科:微电子学与固体电子学

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Patterned Growth of β-Ga2O3 Thin Films for Solar-Blind Deep-Ultraviolet Photodetectors Array and Optical Imaging Application

点击次数:

影响因子:10.9

DOI码:10.1016/j.jmst.2020.09.015

发表刊物:Journal of Materials Science &Technology

关键字:Ultrawide-bandgap semiconductor;Solar-blind;Deep ultraviolet photodetection;Patterned growth;Image sensor

摘要:Solar-blind deep-ultraviolet (DUV) photodetectors based on Ga2O3 have attracted great attention due to their potential applications for many military and civil purposes. However, the development of device integration for optoelectronic system applications remains a huge challenge. Herein, we report a facile method for patterned-growth of high-quality beta-Ga2O3 thin films, which are assembled into a photodetectors array comprising 8 x 8 device units. A representative detector exhibits outstanding photoresponse performance, in terms of an ultra-low dark current of similar to 0.62 pA, a large I-light/I-dark ratio exceeding 10(4), a high responsivity of similar to 0.72 A W-1 and a decent specific detectivity of similar to 4.18 x 10(11) Jones, upon 265 nm DUV illumination. What is more, the DUV/visible (250/400 nm) rejection ratio is as high as 10(3) with a sharp response cut-off wavelength at similar to 280 nm. Further optoelectronic analysis reveals that the photodetectors array has good uniformity and repeatability, endowing it the capability to serve as a reliable DUV light image sensor with a decent spatial resolution. These results suggest that the proposed technique offers an effective avenue for patterned growth of beta-Ga2O3 thin films for multifunctional DUV optoelectronic applications. (C) 2021 Published by Elsevier Ltd on behalf of The editorial office of Journal of Materials Science & Technology.

合写作者:Xing-Tong Lu, Yi Liang, Hua-Han Chen, Li Wang, Chun-Yan Wu, Di Wu, Wen-Hua Yang, Lin-Bao Luo

第一作者:Chao Xie

通讯作者:Lin-Bao Luo

文献类型:Article

卷号:72

页面范围:189-196

ISSN号:1005-0302

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发表时间:2021-05-10

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