Optically Readable Organic Electrochemical Synaptic Transistors for Neuromorphic Photonic Image Processing

Yunchao Xu; Yiming Shi; Chuan Qian; Pengshan Xie; Chenxing Jin; Xiaofang Shi; Gengming Zhang; Wanrong Liu; Changjin Wan; Johnny C. Ho; Jia Sun; Junliang Yang

doi:10.1021/acs.nanolett.3c01291

Optically Readable Organic Electrochemical Synaptic Transistors for Neuromorphic Photonic Image Processing

Yunchao Xu, Yiming Shi, Chuan Qian, Pengshan Xie, Chenxing Jin, Xiaofang Shi, Gengming Zhang, Wanrong Liu, Changjin Wan, Johnny C. Ho, Jia Sun^*, Junliang Yang^*

^*Corresponding author for this work

Department of Materials Science and Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

54 Citations (Scopus)

Abstract

Optically readable organic synaptic devices have great potential in both artificial intelligence and photonic neuromorphic computing. Herein, a novel optically readable organic electrochemical synaptic transistor (OR-OEST) strategy is first proposed. The electrochemical doping mechanism of the device was systematically investigated, and the basic biological synaptic behaviors that can be read by optical means are successfully achieved. Furthermore, the flexible OR-OESTs are capable of electrically switching the transparency of semiconductor channel materials in a nonvolatile manner, and thus the multilevel memory can be achieved through optical readout. Finally, the OR-OESTs are developed for the preprocessing of photonic images, such as contrast enhancement and denoising, and feeding the processed images into an artificial neural network, achieving a recognition rate of over 90%. Overall, this work provides a new strategy for the implementation of photonic neuromorphic systems. © 2023 American Chemical Society.

Original language	English
Pages (from-to)	5264-5271
Journal	Nano Letters
Volume	23
Issue number	11
Online published	25 May 2023
DOIs	https://doi.org/10.1021/acs.nanolett.3c01291
Publication status	Published - 14 Jun 2023

Funding

This study has been supported by the National Natural Science Foundation of China (Nos. 61975241 and 52173192), the Huxiang Youth Talent Program of Hunan Province (No. 2020RC3010), the Science and Technology Innovation Program of Hunan Province (No. 2021RC2077), the National Key Research and Development Program of China (No. 2022YFB3803300), and the Fundamental Research Funds for the Central Universities of Central South University (No. 1053320213517).

Research Keywords

artificial neuromorphic systems
electrochemical doping
optically readable synapses
organic electrochemical transistors

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@article{01ebc7959e324522b889ae0283170b0c,

title = "Optically Readable Organic Electrochemical Synaptic Transistors for Neuromorphic Photonic Image Processing",

abstract = "Optically readable organic synaptic devices have great potential in both artificial intelligence and photonic neuromorphic computing. Herein, a novel optically readable organic electrochemical synaptic transistor (OR-OEST) strategy is first proposed. The electrochemical doping mechanism of the device was systematically investigated, and the basic biological synaptic behaviors that can be read by optical means are successfully achieved. Furthermore, the flexible OR-OESTs are capable of electrically switching the transparency of semiconductor channel materials in a nonvolatile manner, and thus the multilevel memory can be achieved through optical readout. Finally, the OR-OESTs are developed for the preprocessing of photonic images, such as contrast enhancement and denoising, and feeding the processed images into an artificial neural network, achieving a recognition rate of over 90%. Overall, this work provides a new strategy for the implementation of photonic neuromorphic systems. {\textcopyright} 2023 American Chemical Society.",

keywords = "artificial neuromorphic systems, electrochemical doping, optically readable synapses, organic electrochemical transistors",

author = "Yunchao Xu and Yiming Shi and Chuan Qian and Pengshan Xie and Chenxing Jin and Xiaofang Shi and Gengming Zhang and Wanrong Liu and Changjin Wan and Ho, {Johnny C.} and Jia Sun and Junliang Yang",

year = "2023",

month = jun,

day = "14",

doi = "10.1021/acs.nanolett.3c01291",

language = "English",

volume = "23",

pages = "5264--5271",

journal = "Nano Letters",

issn = "1530-6992",

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TY - JOUR

T1 - Optically Readable Organic Electrochemical Synaptic Transistors for Neuromorphic Photonic Image Processing

AU - Xu, Yunchao

AU - Shi, Yiming

AU - Qian, Chuan

AU - Xie, Pengshan

AU - Jin, Chenxing

AU - Shi, Xiaofang

AU - Zhang, Gengming

AU - Liu, Wanrong

AU - Wan, Changjin

AU - Ho, Johnny C.

AU - Sun, Jia

AU - Yang, Junliang

PY - 2023/6/14

Y1 - 2023/6/14

N2 - Optically readable organic synaptic devices have great potential in both artificial intelligence and photonic neuromorphic computing. Herein, a novel optically readable organic electrochemical synaptic transistor (OR-OEST) strategy is first proposed. The electrochemical doping mechanism of the device was systematically investigated, and the basic biological synaptic behaviors that can be read by optical means are successfully achieved. Furthermore, the flexible OR-OESTs are capable of electrically switching the transparency of semiconductor channel materials in a nonvolatile manner, and thus the multilevel memory can be achieved through optical readout. Finally, the OR-OESTs are developed for the preprocessing of photonic images, such as contrast enhancement and denoising, and feeding the processed images into an artificial neural network, achieving a recognition rate of over 90%. Overall, this work provides a new strategy for the implementation of photonic neuromorphic systems. © 2023 American Chemical Society.

AB - Optically readable organic synaptic devices have great potential in both artificial intelligence and photonic neuromorphic computing. Herein, a novel optically readable organic electrochemical synaptic transistor (OR-OEST) strategy is first proposed. The electrochemical doping mechanism of the device was systematically investigated, and the basic biological synaptic behaviors that can be read by optical means are successfully achieved. Furthermore, the flexible OR-OESTs are capable of electrically switching the transparency of semiconductor channel materials in a nonvolatile manner, and thus the multilevel memory can be achieved through optical readout. Finally, the OR-OESTs are developed for the preprocessing of photonic images, such as contrast enhancement and denoising, and feeding the processed images into an artificial neural network, achieving a recognition rate of over 90%. Overall, this work provides a new strategy for the implementation of photonic neuromorphic systems. © 2023 American Chemical Society.

KW - artificial neuromorphic systems

KW - electrochemical doping

KW - optically readable synapses

KW - organic electrochemical transistors

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U2 - 10.1021/acs.nanolett.3c01291

DO - 10.1021/acs.nanolett.3c01291

M3 - RGC 21 - Publication in refereed journal

C2 - 37229610

SN - 1530-6992

VL - 23

SP - 5264

EP - 5271

JO - Nano Letters

JF - Nano Letters

IS - 11

ER -

Optically Readable Organic Electrochemical Synaptic Transistors for Neuromorphic Photonic Image Processing

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