纳米晶
动态范围
灵敏度(控制系统)
材料科学
红外线的
航程(航空)
图像传感器
宽动态范围
光电子学
光学
纳米技术
物理
电子工程
工程类
复合材料
作者
Jingwen Wang,Binbin Wang,Xiaowei Yin,Qianxi Yang,Tao Luo,Hongkun Duan,Shiji Zhou,Xinzheng Lan,Ying Wang,Zhiyong Zhang
出处
期刊:Small
[Wiley]
日期:2025-07-01
卷期号:21 (34): e2505195-e2505195
被引量:1
标识
DOI:10.1002/smll.202505195
摘要
Abstract Mercury telluride (HgTe) nanocrystals (NCs) offer adjustable absorption and solution‐processable fabrication, making them promising materials for low‐cost, high‐resolution imaging across a wide infrared (IR) spectrum. However, photodetectors based on HgTe NCs often suffer from high dark current, elevated noise arising from trap states and interface defects, and limited structural tunability, which constrain their sensitivity, dynamic range, and applicability in intelligent vision applications. Here, it is reported a dual‐gate carbon nanotubes (CNTs) field‐effect transistor incorporating an HgTe NC‐based PIN heterojunction as the top gate, which converts incident IR light into a photovoltage that functions as a dynamic optical gate, while an independently addressable local bottom gate adjusts the carrier concentration in the CNT channel. This opto‐electrically decoupled yet synergistic architecture enables high responsivity (>10 3 A/W), excellent room‐temperature specific detectivity (10 13 Jones) under low‐power IR illumination, and a wide dynamic range of 170 dB to 1650 nm infrared irradiation when biased in the subthreshold region. Furthermore, by leveraging gate‐controllable and self‐adaptive photoresponse, it is demonstrated in‐sensor convolutional processing and image fusion at the device level. This dual‐gate architecture provides a new pathway toward high‐performance IR photodetectors with in‐sensor computing capabilities, advancing their potential for next‐generation machine vision systems.
科研通智能强力驱动
Strongly Powered by AbleSci AI