Retina‐Inspired Self‐Powered Artificial Optoelectronic Synapses with Selective Detection in Organic Asymmetric Heterojunctions

Ziqian Hao; Hengyuan Wang; Sai Jiang; Jun Qian; Xin Xu; Yating Li; Mengjiao Pei; Bowen Zhang; Jianhang Guo; Huijuan Zhao; Jiaming Chen; Yunfang Tong; Jianpu Wang; Xinran Wang; Yi Shi; Yun Li

doi:10.1002/advs.202103494

Advanced Science (Mar 2022)

Retina‐Inspired Self‐Powered Artificial Optoelectronic Synapses with Selective Detection in Organic Asymmetric Heterojunctions

Ziqian Hao,
Hengyuan Wang,
Sai Jiang,
Jun Qian,
Xin Xu,
Yating Li,
Mengjiao Pei,
Bowen Zhang,
Jianhang Guo,
Huijuan Zhao,
Jiaming Chen,
Yunfang Tong,
Jianpu Wang,
Xinran Wang,
Yi Shi,
Yun Li

Affiliations

Ziqian Hao: National Laboratory of Solid‐State Microstructures, School of Electronic Science and Engineering, Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 P. R. China
Hengyuan Wang: National Laboratory of Solid‐State Microstructures, School of Electronic Science and Engineering, Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 P. R. China
Sai Jiang: School of Microelectronics and Control Engineering Changzhou University Changzhou 213164 P. R. China
Jun Qian: National Laboratory of Solid‐State Microstructures, School of Electronic Science and Engineering, Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 P. R. China
Xin Xu: National Laboratory of Solid‐State Microstructures, School of Electronic Science and Engineering, Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 P. R. China
Yating Li: National Laboratory of Solid‐State Microstructures, School of Electronic Science and Engineering, Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 P. R. China
Mengjiao Pei: National Laboratory of Solid‐State Microstructures, School of Electronic Science and Engineering, Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 P. R. China
Bowen Zhang: National Laboratory of Solid‐State Microstructures, School of Electronic Science and Engineering, Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 P. R. China
Jianhang Guo: National Laboratory of Solid‐State Microstructures, School of Electronic Science and Engineering, Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 P. R. China
Huijuan Zhao: National Laboratory of Solid‐State Microstructures, School of Electronic Science and Engineering, Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 P. R. China
Jiaming Chen: National Laboratory of Solid‐State Microstructures, School of Electronic Science and Engineering, Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 P. R. China
Yunfang Tong: Key Laboratory of Flexible Electronics and Institute of Advanced Materials, Jiangsu National Synergistic Innovation Center for Advanced Materials Nanjing Tech University Nanjing 211816 P. R. China
Jianpu Wang: Key Laboratory of Flexible Electronics and Institute of Advanced Materials, Jiangsu National Synergistic Innovation Center for Advanced Materials Nanjing Tech University Nanjing 211816 P. R. China
Xinran Wang: National Laboratory of Solid‐State Microstructures, School of Electronic Science and Engineering, Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 P. R. China
Yi Shi: National Laboratory of Solid‐State Microstructures, School of Electronic Science and Engineering, Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 P. R. China
Yun Li: National Laboratory of Solid‐State Microstructures, School of Electronic Science and Engineering, Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 P. R. China

DOI: https://doi.org/10.1002/advs.202103494
Journal volume & issue: Vol. 9, no. 7
pp. n/a – n/a

Abstract

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Abstract The retina, the most crucial unit of the human visual perception system, combines sensing with wavelength selectivity and signal preprocessing. Incorporating energy conversion into these superior neurobiological features to generate core visual signals directly from incoming light under various conditions is essential for artificial optoelectronic synapses to emulate biological processing in the real retina. Herein, self‐powered optoelectronic synapses that can selectively detect and preprocess the ultraviolet (UV) light are presented, which benefit from high‐quality organic asymmetric heterojunctions with ultrathin molecular semiconducting crystalline films, intrinsic heterogeneous interfaces, and typical photovoltaic properties. These devices exhibit diverse synaptic behaviors, such as excitatory postsynaptic current, paired‐pulse facilitation, and high‐pass filtering characteristics, which successfully reproduce the unique connectivity among sensory neurons. These zero‐power optical‐sensing synaptic operations further facilitate a demonstration of image sharpening. Additionally, the charge transfer at the heterojunction interface can be modulated by tuning the gate voltage to achieve multispectral sensing ranging from the UV to near‐infrared region. Therefore, this work sheds new light on more advanced retinomorphic visual systems in the post‐Moore era.

Published in Advanced Science

ISSN: 2198-3844 (Online)
Publisher: Wiley
Country of publisher: Germany
LCC subjects: Science
Website: https://onlinelibrary.wiley.com/journal/21983844

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