Multiband recognition technology is being extensively investigated because of the increasing demand for on-chip, multifunctional, and sensitive devices that can distinguish coincident spectral information. Most existing multiband imagers use large arrays of photodetectors to capture different spectral components, from which their spectrum is reconstructed. A single device embedded with a convolutional neural network (CNN) capable of recognizing multiband photons allows the footprints of multiband recognition chips to be scaled down while achieving spectral resolution approaching that of benchtop systems. Here, we report a multiple and broadband photodetector based on 2D/3D van der Waals p/n/p heterostructures [p-germanium (Ge)/n-molybdenum disulfide (MoS2)/p-black phosphorus (bP)] with an electrically tunable transport-mediated spectral photoresponse. The devices show bias-tunable multiband photodetection (visible, short-wave infrared, and mid-wave infrared photoresponse). Further combination with the CNN algorithm enables crosstalk suppression of photoresponse to different wavelengths and high-accuracy blackbody radiation temperature recognition. The deep multiband photodetection strategies demonstrated in this work may open pathways towards the integration of multiband vision for application in on-chip neural network perception.

中文翻译：

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通过范德华异质结构中的可重构能带对准实现深度多波段光电探测器


由于对能够区分一致光谱信息的片上、多功能和灵敏设备的需求不断增加，多波段识别技术正在得到广泛的研究。大多数现有的多波段成像仪使用大型光电探测器阵列来捕获不同的光谱成分，并从中重建光谱。嵌入能够识别多波段光子的卷积神经网络 (CNN) 的单个设备可以缩小多波段识别芯片的占地面积，同时实现接近台式系统的光谱分辨率。在这里，我们报告了一种基于 2D/3D 范德华 p/n/p 异质结构 [p-锗 (Ge)/n-二硫化钼 (MoS2) 的多重宽带光电探测器2 )/p-黑磷(bP)]具有电可调传输介导的光谱光响应。该器件具有偏置可调多波段光电探测（可见光、短波红外和中波红外光响应）。进一步与CNN算法结合，可实现不同波长光响应的串扰抑制和高精度黑体辐射温度识别。这项工作中演示的深度多波段光电检测策略可能会为多波段视觉集成在片上神经网络感知中的应用开辟道路。