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基于光汤姆逊态工程的偏振敏感窄带红外光探测。

Polarization-sensitive narrowband infrared photodetection triggered by optical Tamm state engineering.

出版信息

Opt Express. 2023 Feb 27;31(5):8797-8804. doi: 10.1364/OE.483187.

Abstract

Polarization-sensitive narrowband photodetection at near-infrared (NIR) has attracted significant interest in optical communication, environmental monitoring, and intelligent recognition system. However, the current narrowband spectroscopy heavily relies on the extra filter or bulk spectrometer, which deviates from the miniaturization of on-chip integration. Recently, topological phenomena, such as the optical Tamm state (OTS), provided a new solution for developing functional photodetection, and we experimentally realized the device based on 2D material (graphene) for the first time to the best of our knowledge. Here, we demonstrate polarization-sensitive narrowband infrared photodetection in OTS coupled graphene devices, which are designed with the aid of the finite-difference time-domain (FDTD) method. The devices show narrowband response at NIR wavelengths empowered by the tunable Tamm state. The full width at half maximum (FWHM) of the response peak reaches ∼100 nm, and it can potentially be improved to ultra-narrow of about 10 nm by increasing the periods of dielectric distributed Bragg reflector (DBR). The responsivity and response time of the device reaches 187 mA/W and ∼290 µs at 1550 nm, respectively. Furthermore, the prominent anisotropic features and high dichroic ratios of ∼4.6 at 1300 nm and ∼2.5 at 1500 nm are achieved by integrating gold metasurfaces.

摘要

近红外(NIR)偏振敏感窄带光电探测在光通信、环境监测和智能识别系统等领域引起了广泛关注。然而,目前的窄带光谱技术严重依赖于额外的滤波器或体光谱仪,这与芯片集成的小型化趋势不符。最近,拓扑现象,如光学 Tamm 态(OTS),为开发功能光电探测提供了新的解决方案,我们首次在实验上基于二维材料(石墨烯)实现了这种器件。在本文中,我们在 OTS 耦合石墨烯器件中展示了偏振敏感的窄带红外光电探测,这些器件是在有限时域差分法(FDTD)的辅助下设计的。这些器件在 NIR 波长下表现出可调谐 Tamm 态的窄带响应。响应峰的半峰全宽(FWHM)达到约 100nm,通过增加介质分布式布拉格反射镜(DBR)的周期,有望进一步改善至约 10nm 的超窄带宽。该器件在 1550nm 处的响应度和响应时间分别达到 187mA/W 和 290µs。此外,通过集成金亚波长结构,实现了在 1300nm 时约为 4.6 的显著各向异性特征和高的二色比,以及在 1500nm 时约为 2.5 的二色比。

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