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

Abstract

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 ( D * ), 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 2 )/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 D * of 3.7 × 10 9 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.