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Scalable TCNQ-Doped Graphene Oxide Sensor for Neuromorphic Machine Vision

Xinyu HUANG Junchao REN Kun YIN Hui YU Yong WANG Jihong WANG Lin WANG Hao SHI Wenting JIAO Tangjie MU Yang GAO Menglai ZHANG Lei ZHANG

光子传感器（英文版）2026，Vol.16Issue(2)：23-39,17.

光子传感器（英文版）2026，Vol.16Issue(2)：23-39,17.DOI:10.26599/PhoS.2026.9560013

Scalable TCNQ-Doped Graphene Oxide Sensor for Neuromorphic Machine Vision

Xinyu HUANG ¹Junchao REN ²Kun YIN ¹Hui YU ¹Yong WANG ²Jihong WANG ³Lin WANG ¹Hao SHI ⁴Wenting JIAO ¹Tangjie MU ¹Yang GAO ¹Menglai ZHANG ¹Lei ZHANG¹

作者信息

1. Zhejiang Lab,Hangzhou 311100,China
2. Shanghai Advanced Research Institute,Chinese Academy of Sciences,Shanghai 201210,China
3. Key Laboratory of Smart Manufacturing in Energy Chemical Process,Ministry of Education of the People's Republic of China,East China University of Science and Technology,Shanghai 200237,China
4. Zhejiang Lab,Hangzhou 311100,China||Shanghai Advanced Research Institute,Chinese Academy of Sciences,Shanghai 201210,China
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摘要

关键词

Neuromorphic machine vision/graphene oxide/programmable sensor arrays/convolutional neural networks

Key words

Neuromorphic machine vision/graphene oxide/programmable sensor arrays/convolutional neural networks

引用本文复制引用

Xinyu HUANG,Junchao REN,Kun YIN,Hui YU,Yong WANG,Jihong WANG,Lin WANG,Hao SHI,Wenting JIAO,Tangjie MU,Yang GAO,Menglai ZHANG,Lei ZHANG..Scalable TCNQ-Doped Graphene Oxide Sensor for Neuromorphic Machine Vision[J].光子传感器（英文版）,2026,16(2):23-39,17.

基金项目

This work was supported by the National Key Research and Development Program of China(Grant No.2022YFB2901000),the Science and Technology Program of Zhejiang,China(Grant No.2025C01043),the National Natural Science Foundation of China(Grant No.12204436),the Zhejiang Provincial Natural Science Foundation of China(Grant No.LQ24A040011),the Postdoctoral Fellowship Program of China Postdoctoral Science Foundation(Grant No.GZC20252242),the National Natural Science Foundation of China(Grant No.12305362),and the National Key Research & Development Program of China(Grant No.2021YFA1601003).The authors thank the Nano Fabrication Center of Zhejiang Laboratory for device fabrication and characterization and the Shiyanjia Laboratory(www.shiyanjia.com)for the XPS test. （Grant No.2022YFB2901000）

光子传感器（英文版）

ISSN：1674-9251

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