journal article·2023-12-20

Low Dark-Current Quantum-Dot Infrared Imager

Xiaomeng Xue, Yuning Luo, Qun Hao, Jie Cao, Xin Tang, Yanfei Liu, Menglu Chen

ACS Photonics· Volume 10· Issue 12
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Abstract

Taking advantage of tunable optical properties and silicon technique compatibility, colloidal quantum dots (CQDs) provide a simpler process for building infrared focal plane arrays (FPA) compared with traditional infrared bulk materials. So far, the CQD infrared FPA has been achieved, yet it faces the challenges of reducing dark current and noise. In this work, we achieve low dark-current and noise on the photoconductor by reducing energetic disorder and band tail in morphology-modified CQD solids. For the CQD infrared photoconductor at 2.0 μm, the dark current and noise of the shape-controlled CQD photoconductor are reduced by a factor of 25 and 10 at room temperature, respectively, compared with the reference device. Meanwhile, the sensitivity of the device is greatly improved when the specific detectivity reaches 4 × 10 11 Jones. What’s more, the response time of the modified CQD photodetector is 0.94 μs, which is 100 times faster than the reference devices. To illustrate the flexible application of the CQD, we show a 640 × 512 pixel FPA imager at 2.0 μm with an operable pixel factor of 99.997% at 300 K. The reduced dark current could effectively suppress the overhot pixel count by 380 times.
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Research context

OpenAlex topics: Quantum Dots Synthesis And Properties · Chalcogenide Semiconductor Thin Films · Advanced Semiconductor Detectors and Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China

Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing 314019, China

Zhongxinrecheng Science and Technology Co., Ltd., Beijing 101102, China

Funding

China Association for Science and Technology · National Natural Science Foundation of China · Beijing Nova Program

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