journal article·2023-01

Artificial Visual Systems With Tunable Photoconductivity Based on Organic Molecule‐Nanowire Heterojunctions

Pengshan Xie, Xu Chen, Zixin Zeng, Wei Wang, You Meng, Zhengxun Lai, Quan Quan, Dengji Li, Weijun Wang, Xiuming Bu, Sai‐Wing Tsang, SenPo Yip, Jia Sun, Johnny C. Ho

Advanced Functional Materials· Volume 33· Issue 4
Publisher page

Abstract

Abstract The visual system, one of the most crucial units of the human perception system, combines the functions of multi‐wavelength signal detection and data processing. Herein, the large‐scale artificial synaptic device arrays based on the organic molecule‐nanowire heterojunctions with tunable photoconductivity are proposed and demonstrated. The organic thin films of p‐type 2,7‐dioctyl[1]benzothieno[3,2‐b][1] benzothiophene (C8‐BTBT) or n‐type phenyl‐C61‐butyric acid methyl ester (PC61BM) are used to wrap the InGaAs nanowire parallel arrays to configure two different type‐I heterojunctions, respectively. Due to the difference in carrier injection, persistent negative photoconductivity (NPC) or positive photoconductivity (PPC) are achieved in these heterojunctions. The irradiation with different wavelengths (solar‐blind to visible ranges) can stimulate the heterojunction devices, effectively mimicking the synaptic behaviors with two different photoconductivities. The long‐term and multi‐state light memory are also realized through synergistic photoelectric modulation. Notably, the arrays with different photoconductivities are adopted to build the hardware kernel for the visual system. Due to the tunable photoconductivity and response to multiple wavelengths, the recognition rate of neural networks can reach 100% with lower complexity and power consumption. Evidently, these photosynaptic devices are illustrated with retina‐like behaviors and capabilities for large‐area integration, which reveals their promising potential for artificial visual systems.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Photoreceptor and optogenetics research · Neuroscience and Neural Engineering

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Materials Science and Engineering City University of Hong Kong Kowloon Hong Kong SAR 999077 China

Hunan Key Laboratory for Super‐microstructure and Ultrafast Process School of Physics and Electronics Central South University Changsha Hunan 410083 China

State Key Laboratory of Terahertz and Millimeter Waves City University of Hong Kong Kowloon Hong Kong SAR 999077 China

Institute for Materials Chemistry and Engineering Kyushu University Fukuoka 816–8580 Japan

Key Laboratory of Advanced Materials Processing & Mold (Zhengzhou University) Ministry of Education Zhengzhou Henan 450002 China

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