| |||||||
ShanghaiTech University Knowledge Management System
Quantum-Tuned Cascade Multijunction Infrared Photodetector | |
2023-09-21 | |
发表期刊 | ACS NANO (IF:15.8[JCR-2023],16.2[5-Year]) |
ISSN | 1936-0851 |
EISSN | 1936-086X |
卷号 | 17期号:19页码:18864-18872 |
发表状态 | 已发表 |
DOI | 10.1021/acsnano.3c03852 |
摘要 | Emerging applications such as augmented reality, self-driving vehicles, and quantum information technology require optoelectronic devices capable of sensing a low number of photons with high sensitivity (including gain) and high speed and that could operate in the infrared at telecom windows beyond silicon's bandgap. State-of-the-art semiconductors achieve some of these functions through costly and not easily scalable doping and epitaxial growing methods. Colloidal quantum dots (QDs), on the other hand, could be easily tuned and are compatible with consumer electronics manufacturing. However, the development of a QD infrared photodetector with high gain and high response speed remains a challenge. Herein, we present a QD monolithic multijunction cascade photodetector that advances in the speed-sensitivity-gain space through precise control over doping and bandgap. We achieved this by implementing a QD stack in which each layer is tailored via bandgap tuning and electrostatic surface manipulation. The resulting junctions sustain enhanced local electric fields, which, upon illumination, facilitate charge tunneling, recirculation, and gain, but retain low dark currents in the absence of light. Using this platform, we demonstrate an infrared photodetector sensitive up to 1500 nm, with a specific detectivity of similar to 3.7 x 10(12) Jones, a 3 dB bandwidth of 300 kHz (0.05 cm(2) device), and a gain of similar to 70x at 1300 nm, leading to an overall gain-bandwidth product over 20 MHz, in comparison with 3 kHz of standard photodiode devices of similar areas. |
关键词 | colloidal quantum dots infrared photodetector cascade gain bandwidth |
URL | 查看原文 |
收录类别 | SCI ; EI |
语种 | 英语 |
资助项目 | National Key Research and Development Program of China[2021YFA0715502] ; National Natural Science Foundation of China[ |
WOS研究方向 | Chemistry ; Science & Technology - Other Topics ; Materials Science |
WOS类目 | Chemistry, Multidisciplinary ; Chemistry, Physical ; Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary |
WOS记录号 | WOS:001070236200001 |
出版者 | AMER CHEMICAL SOC |
EI入藏号 | 20234314971843 |
EI主题词 | Bandwidth |
EI分类号 | 701.1 Electricity: Basic Concepts and Phenomena ; 712.1 Semiconducting Materials ; 714.2 Semiconductor Devices and Integrated Circuits ; 716.1 Information Theory and Signal Processing ; 723 Computer Software, Data Handling and Applications ; 741.1 Light/Optics ; 761 Nanotechnology ; 931.3 Atomic and Molecular Physics ; 931.4 Quantum Theory ; Quantum Mechanics ; 933.1 Crystalline Solids |
原始文献类型 | Journal article (JA) |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/340923 |
专题 | 物质科学与技术学院 物质科学与技术学院_PI研究组_宁志军组 物质科学与技术学院_硕士生 物质科学与技术学院_博士生 |
通讯作者 | de Arquer, F. Pelayo Garcia; Ning, Zhijun |
作者单位 | 1.ShanghaiTech Univ, Sch Phys Sci & Technol, Shanghai 201210, Peoples R China 2.Barcelona Inst Sci & Technol, ICFO Inst Ciencies Foton, Barcelona 08860, Spain |
第一作者单位 | 物质科学与技术学院 |
通讯作者单位 | 物质科学与技术学院 |
第一作者的第一单位 | 物质科学与技术学院 |
推荐引用方式 GB/T 7714 | Zhou, Wenjia,Xu, Rui,Wu, Haobo,et al. Quantum-Tuned Cascade Multijunction Infrared Photodetector[J]. ACS NANO,2023,17(19):18864-18872. |
APA | Zhou, Wenjia.,Xu, Rui.,Wu, Haobo.,Jiang, Xianyuan.,Wang, Hao.,...&Ning, Zhijun.(2023).Quantum-Tuned Cascade Multijunction Infrared Photodetector.ACS NANO,17(19),18864-18872. |
MLA | Zhou, Wenjia,et al."Quantum-Tuned Cascade Multijunction Infrared Photodetector".ACS NANO 17.19(2023):18864-18872. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 |
个性服务 |
查看访问统计 |
谷歌学术 |
谷歌学术中相似的文章 |
[Zhou, Wenjia]的文章 |
[Xu, Rui]的文章 |
[Wu, Haobo]的文章 |
百度学术 |
百度学术中相似的文章 |
[Zhou, Wenjia]的文章 |
[Xu, Rui]的文章 |
[Wu, Haobo]的文章 |
必应学术 |
必应学术中相似的文章 |
[Zhou, Wenjia]的文章 |
[Xu, Rui]的文章 |
[Wu, Haobo]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
修改评论
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。