journal article·2024-08Open access

In Situ Growth of Wafer‐Scale Patterned Graphene and Fabrication of Optoelectronic Artificial Synaptic Device Array Based on Graphene/n‐AlGaN Heterojunction for Visual Learning

Yang Chen, Zhiming Shi, Bingchen Lv, Wei Zhang, Shanli Zhang, Hang Zang, Yuanyuan Yue, Ke Jiang, Jianwei Ben, Yuping Jia, Mingrui Liu, Shunpeng Lu, Rui Sun, Tong Wu, Shaojuan Li, Xiaojuan Sun, Dabing Li

Small· Volume 20· Issue 34

Abstract

Abstract The unique optical and electrical properties of graphene‐based heterojunctions make them significant for artificial synaptic devices, promoting the advancement of biomimetic vision systems. However, mass production and integration of device arrays are necessary for visual imaging, which is still challenging due to the difficulty in direct growth of wafer‐scale graphene patterns. Here, a novel strategy is proposed using photosensitive polymer as a solid carbon source for in situ growth of patterned graphene on diverse substrates. The growth mechanism during high‐temperature annealing is elucidated, leading to wafer‐scale graphene patterns with exceptional uniformity, ideal crystalline quality, and precise control over layer number by eliminating the release of volatile from oxygen‐containing resin. The growth strategy enables the fabrication of two‐inch optoelectronic artificial synaptic device array based on graphene/n‐AlGaN heterojunction, which emulates key functionalities of biological synapses, including short‐term plasticity, long‐term plasticity, and spike‐rate‐dependent plasticity. Moreover, the mimicry of visual learning in the human brain is attributed to the regulation of excitatory and inhibitory post‐synapse currents, following a learning rule that prioritizes initial recognition before memory formation. The duration of long‐term memory reaches 10 min. The in situ growth strategy for patterned graphene represents the novelty for fabricating fundamental hardware of an artificial neuromorphic system.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Graphene research and applications · Advanced Sensor and Energy Harvesting Materials

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

Affiliations

State Key Laboratory of Luminescence Science and Technology, Changchun Institute of Optics, Fine Mechanics and Physics Chinese Academy of Sciences Changchun 130033 P. R. China

Key Laboratory of Automobile Materials of MOE, School of Materials Science & Engineering Jilin University Changchun 130012 P. R. China

School of Management Science and Information Engineering Jilin University of Finance and Economics Changchun 130117 P. R. China

Funding

National Key Research and Development Program of China · Youth Innovation Promotion Association of the Chinese Academy of Sciences · Natural Science Foundation of Jilin Province · National Natural Science Foundation of China

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