材料科学
光电二极管
光电子学
极化(电化学)
光学
遥感
物理
化学
物理化学
地质学
作者
Xiang Liu,Qihua Guo,Hui Xu,Xu Xue,Fengyun Wang,Baohui Xv,Zhi Tao,Jianhua Chang,Hai Hu
标识
DOI:10.1002/adfm.202404000
摘要
Abstract Integrated computational spectrometers with gate‐tunable nano heterostructures and reconstruction algorithms are attractive for on‐chip gas‐sensing spectrometers and have enabled versatile spectrum detectors. However, they require the selective and optical filtering capabilities of wavelengths, restricting their efficient implementation in narrow‐band photodetection. In this study, a printable spectral phototransistor is developed with high dynamic detectivity (10 12 Jones and 10 5 Hz at −3 db bandwidth) modulated by a GeS 2 nanosheet heterostructure at short‐wave infrared (SWIR) regime. Using the transport mode switching of carriers in a heterostructure and the polarization‐sensitivity of the GeS 2 two‐dimension (2‐D) nanosheet, this SWIR spectral phototransistor demonstrates an accurate narrow‐band selective (96.7% accuracy) spectrum detector and performed a deep‐learning analysis of an artificial neural network (ANN). Furthermore, this GeS 2 2‐D based spectral phototransistor, characterized by its high in‐plane anisotropy and electrically reconfigurable properties, extends the applicability of narrow‐band photodetection with 15 nm Full Width at Half Maximum (FWHM) to the recognition of trace‐gases at the parts per billion (ppb) level.
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