A self-powered high-performance graphene/silicon ultraviolet photodetector with ultra-shallow junction: breaking the limit of silicon?
A self-powered high-performance graphene/silicon ultraviolet photodetector with ultra-shallow junction: breaking the limit of silicon?
复制标题
具有超浅结的自供电高性能石墨烯/硅紫外光电探测器：突破硅的极限？
DOI：
10.1038/s41699-017-0008-4
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发表时间：
2017-04-11
影响因子：
9.7
通讯作者：
Yu, Bin
中科院分区：
文献类型：
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作者：
Wan, Xia;Xu, Yang;Yu, Bin
我们推出了一种自供电、高性能石墨烯增强型紫外硅肖特基光电探测器。与传统的透明电极（例如氧化铟锡或超薄金属）不同，石墨烯独特的紫外线吸收特性导致热电子的载流子寿命较长，有助于光电流或电势载流子倍增。我们提出的结构将内量子效率提高了100%以上，接近硅基紫外光电探测器的上限。在近紫外和中紫外光谱区，所提出的紫外光电探测器在零偏置（自供电）模式下表现出高性能，包括高光响应率（0.2 A W−1）、快速时间响应（5 ns）、高比探测率（1.6 × 1013Jones）和大于100%的内量子效率。此外，在200至400nm的波长范围内，光响应度大于0.14A W-1，与最先进的Si、GaN、SiC肖特基光电探测器相当。即使在制造后两年内，光电探测器仍能在环境条件下稳定运行，在可穿戴设备、通信和“无耗散”远程传感器网络等实际应用中显示出巨大潜力。
We present a self-powered, high-performance graphene-enhanced ultraviolet silicon Schottky photodetector. Different from traditional transparent electrodes, such as indium tin oxides or ultra-thin metals, the unique ultraviolet absorption property of graphene leads to long carrier life time of hot electrons that can contribute to the photocurrent or potential carrier-multiplication. Our proposed structure boosts the internal quantum efficiency over 100%, approaching the upper-limit of silicon-based ultraviolet photodetector. In the near-ultraviolet and mid-ultraviolet spectral region, the proposed ultraviolet photodetector exhibits high performance at zero-biasing (self-powered) mode, including high photo-responsivity (0.2 A W−1), fast time response (5 ns), high specific detectivity (1.6 × 1013Jones), and internal quantum efficiency greater than 100%. Further, the photo-responsivity is larger than 0.14 A W−1in wavelength range from 200 to 400 nm, comparable to that of state-of-the-art Si, GaN, SiC Schottky photodetectors. The photodetectors exhibit stable operations in the ambient condition even 2 years after fabrication, showing great potential in practical applications, such as wearable devices, communication, and “dissipation-less” remote sensor networks.