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胶体量子点短波红外光电技术与单片集成:进展与挑战

李瑞彬 杨春雷 陈明 李可遇 郝洁 唐子渊 王磊 杨赵诗怡 万凌云 邵龑 钟国华

集成技术2026,Vol.15Issue(3):143-158,16.
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集成技术2026,Vol.15Issue(3):143-158,16.DOI:10.12146/j.issn.2095-3135.20251013001

胶体量子点短波红外光电技术与单片集成:进展与挑战

Colloidal Quantum Dot Short-Wave Infrared Photoelectric Technology and Monolithic Integration:Progress and Challenges

李瑞彬 1杨春雷 1陈明 1李可遇 2郝洁 3唐子渊 4王磊 4杨赵诗怡 4万凌云 5邵龑 4钟国华1

作者信息

  • 1. 中国科学院深圳先进技术研究院 深圳 518055||中国科学院大学 北京 100049
  • 2. 中国科学院深圳先进技术研究院 深圳 518055||华南师范大学 广州 510631
  • 3. 中国科学院深圳先进技术研究院 深圳 518055||中国科学技术大学 合肥 230026
  • 4. 中国科学院深圳先进技术研究院 深圳 518055
  • 5. 深圳市宏济医疗技术开发有限公司 深圳 518100
  • 折叠

摘要

Abstract

Short-wave infrared photoelectric technology has shown broad application prospects in medical diagnosis,remote sensing detection,infrared imaging and other fields.Traditional infrared materials(such as InGaAs and HgCdTe)have high cost,complex process,and difficulty in integrating with silicon-based complementary metal oxide semiconductor(CMOS),which limits their further development.As a new semiconductor material with solution processability,adjustable band gap and compatibility with CMOS process,colloidal quantum dots provide a feasible path of low cost and monolithic integration for short-wave infrared photoelectric detection and imaging.In this paper,the photoelectric properties,device structure design and latest progress in monolithic integration of colloidal quantum dot materials such as PbS and HgTe are reviewed,and the application of artificial intelligence technology in photoelectric sensor optimization and intelligent perception is discussed.Finally,the paper points out the challenges faced by the current technology and looks forward to the future development direction.

关键词

胶体量子点/短波红外/光电探测器/单片集成/人工智能/智能感知

Key words

colloidal quantum dots/short-wave infrared/photoelectric detector/monolithic integration/artificial intelligence/intelligent perception

分类

通用工业技术

引用本文复制引用

李瑞彬,杨春雷,陈明,李可遇,郝洁,唐子渊,王磊,杨赵诗怡,万凌云,邵龑,钟国华..胶体量子点短波红外光电技术与单片集成:进展与挑战[J].集成技术,2026,15(3):143-158,16.

基金项目

国家自然科学基金项目(52173243,52573287) (52173243,52573287)

"广东特支计划"青年拔尖人才项目(2023TQ07A142) (2023TQ07A142)

中国科学院青年创新促进会项目(2023375) This work is supported by National Natural Science Foundation of China(52173243,52573287),Guangdong Special Support Plan for Young Top-Talent Project(2023TQ07A142),Youth Innovation Promotion Association,Chinese Academy of Sciences(2023375) (2023375)

集成技术

2095-3135

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