Artificial intelligence driven Mid‐IR photoimaging device based on van der Waals heterojunctions of black phosphorus

Mid-infrared (Mid-IR) photodetection and imaging are pivotal across diverse applications, including remote sensing, communication, and spectral analysis. Among these, single-pixel imaging technology is distinguished by its exceptional sensitivity, high resolution attainable through the sampling system, and economic efficiency. The quality of single-pixel imaging primarily depends on the performance of the photodetector and the sampling system. Photodetectors based on black phosphorus (BP) exhibit low dark current, high specific detectivity (<i>D</i> <sup>*</sup>), and room-temperature operability. Artificial intelligence (AI)-assisted sampling systems feature efficient and intelligent data reconstruction capabilities. In this work, we demonstrate an AI-driven black phosphorus (BP)/molybdenum disulfide (MoS<sub>2</sub>)/hexagonal boron nitride (hBN) heterojunction for Mid-IR photodetection and imaging. By optimizing the thickness of the heterojunction, the quality of the interface, and the AI algorithm, we achieved high-performance Mid-IR photodetection and imaging. Specifically, the photodetector has a responsivity of 0.25 A/W at a wavelength of 3,390 nm, an extremely high <i>D</i> <sup>*</sup> of 3.7 × 10<sup>9</sup> Jones, a response speed as low as 7 ms, and after AI optimization, the image contrast ratio has been improved from 0.227 to 0.890. At the same time, the sampling rate requirement can be reduced to 25 %. Our research indicates that the efficient combination of BP heterojunction photodetectors and AI technology is expected to accelerate the development of Mid-IR photodetectors and imaging systems.

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Publication Details

Journal
Nanophotonics
Published
2025-02-01
DOI
https://doi.org/10.1515/nanoph-2024-0613
Citations
12
Primary Topic
2D Materials and Applications
Type
article
Field-Weighted Citation Impact
6.21

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article

Artificial intelligence driven Mid‐IR photoimaging device based on van der Waals heterojunctions of black phosphorus

Meng Qiu, Xilin Tian, Hao Wang, Yihan Zhu et al.
12 citations
Nanophotonics
2D Materials and Applications
6.21
article

Artificial intelligence driven Mid‐IR photoimaging device based on van der Waals heterojunctions of black phosphorus

Meng Qiu, Xilin Tian, Hao Wang, Yihan Zhu, Wugang Liao, Yushuo Bao, Shuo Sun, Zhangcheng Huang, Lingfeng Gao, Rui Cao, Zhe Shi, Y. J. Zeng, Xiaoliang Weng, Hai-Ou Li, Huide Wang, Ziqian Wang, Xing Chen, Han Zhang, Jianqing Li, Jun Liu, Shuqing Chen, Yule Zhang, Yi Liu, Weiying Zheng, Dianyuan Fan, Chen Wang
article en
12 citations

Abstract

Mid-infrared (Mid-IR) photodetection and imaging are pivotal across diverse applications, including remote sensing, communication, and spectral analysis. Among these, single-pixel imaging technology is distinguished by its exceptional sensitivity, high resolution attainable through the sampling system, and economic efficiency. The quality of single-pixel imaging primarily depends on the performance of the photodetector and the sampling system. Photodetectors based on black phosphorus (BP) exhibit low dark current, high specific detectivity (<i>D</i> <sup>*</sup>), and room-temperature operability. Artificial intelligence (AI)-assisted sampling systems feature efficient and intelligent data reconstruction capabilities. In this work, we demonstrate an AI-driven black phosphorus (BP)/molybdenum disulfide (MoS<sub>2</sub>)/hexagonal boron nitride (hBN) heterojunction for Mid-IR photodetection and imaging. By optimizing the thickness of the heterojunction, the quality of the interface, and the AI algorithm, we achieved high-performance Mid-IR photodetection and imaging. Specifically, the photodetector has a responsivity of 0.25 A/W at a wavelength of 3,390 nm, an extremely high <i>D</i> <sup>*</sup> of 3.7 × 10<sup>9</sup> Jones, a response speed as low as 7 ms, and after AI optimization, the image contrast ratio has been improved from 0.227 to 0.890. At the same time, the sampling rate requirement can be reduced to 25 %. Our research indicates that the efficient combination of BP heterojunction photodetectors and AI technology is expected to accelerate the development of Mid-IR photodetectors and imaging systems.

NanophotonicsVol. 14(4)
Macau University of Science and Technology (MO), Xuzhou University of Technology (CN), Hangzhou Normal University (CN), Shenzhen University (CN), Fudan University (CN), Southern University of Science and Technology (CN), Chengdu University (CN), Chengdu Technological University, Qingdao University of Technology (CN), Guilin University of Electronic Technology (CN), Ocean University of China (CN)
National Natural Science Foundation of China, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province, Hangzhou Normal University, Shenzhen University, Department of Education of Guangdong Province, China National Nuclear Corporation, Central Military Commission, Natural Science Foundation of Sichuan Province, Basic and Applied Basic Research Foundation of Guangdong Province
Industry, innovation and infrastructure
Openalex Percentile: Top 3%
2D Materials and Applications
6.21
DOIOpen Access PDFOpenAlex
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