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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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85161865895&origin=recordpage
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 -