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具有优异探测性能的自供电Pt/a-GaO/ITO垂直肖特基结日盲光电探测器。

Self-powered Pt/a-GaO/ITO vertical Schottky junction solar-blind photodetector with excellent detection performance.

作者信息

Ye Liyu, Zhou Shuren, Xiong Yuanqiang, Tang Jie, Wang Xuan, Li Xudong, Pang Di, Li Honglin, Zhang Hong, Ye Lijuan, Cui YuTing, Li Wanjun

出版信息

Opt Express. 2023 Aug 14;31(17):28200-28211. doi: 10.1364/OE.494216.

Abstract

Self-powered solar-blind photodetectors (PDs) are promising for military and civilian applications owing to convenient operation, easy preparation, and weak-light sensitivity. In the present study, the solar-blind deep-ultraviolet (DUV) photodetector based on amorphous GaO (a-GaO) and with a simple vertical stack structure is proposed by applying the low-cost magnetron sputtering technology. By tuning the thickness of the amorphous GaO layer, the device exhibits excellent detection performance. Under 3 V reverse bias, the photodetector achieves a high responsivity of 671A/W, a high detectivity of 2.21 × 10 Jones, and a fast response time of 27/11 ms. More extraordinary, with the help of the built-in electric field at the interface, the device achieves an excellent performance in detection when self-powered, with an ultrahigh responsivity of 3.69 A/W and a fast response time of 2.6/6.6 ms under 254 nm light illumination. These results demonstrate its superior performance to most of the self-powered Schottky junction UV photodetectors reported to date. Finally, the Pt/a-GaO/ITO Schottky junction photodiode detector is verified as a good performer in imaging, indicating its applicability in such fields as artificial intelligence, machine vision, and solar-blind imaging.

摘要

自供电日盲光电探测器(PDs)因其操作方便、制备简单和弱光敏感性,在军事和民用应用方面具有广阔前景。在本研究中,通过应用低成本磁控溅射技术,提出了一种基于非晶GaO(a-GaO)且具有简单垂直堆叠结构的日盲深紫外(DUV)光电探测器。通过调整非晶GaO层的厚度,该器件展现出优异的探测性能。在3 V反向偏压下,该光电探测器实现了671 A/W的高响应度、2.21×10琼斯的高探测率以及27/11 ms的快速响应时间。更特别的是,借助界面处的内建电场,该器件在自供电时的探测性能优异,在254 nm光照下具有3.69 A/W的超高响应度和2.6/6.6 ms的快速响应时间。这些结果表明其性能优于迄今为止报道的大多数自供电肖特基结紫外光电探测器。最后,Pt/a-GaO/ITO肖特基结光电二极管探测器在成像方面被证实表现良好,表明其在人工智能、机器视觉和日盲成像等领域的适用性。

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