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Research Article

Synthesis of wafer-scale graphdiyne/graphene heterostructure for scalable neuromorphic computing and artificial visual systems

Zhi-Cheng Zhang1Yi Li2Jing-Jing Wang1De-Han Qi2Bin-Wei Yao1Mei-Xi Yu1Xu-Dong Chen1( )Tong-Bu Lu1
Ministry of Education International Joint Laboratory of Materials Microstructure Institute for New Energy Materials and Low Carbon Technologies School of Material Science and Engineering Tianjin University of TechnologyTianjin 300384 China
Key Laboratory of Computer Vision and Systems (Ministry of Education) School of Computer Science and EngineeringTianjin University of TechnologyTianjin 300384 China
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Abstract

Graphdiyne (GDY) is emerging as a promising material for various applications owing to its unique structure and fascinating properties. However, the application of GDY in electronics and optoelectronics are still in its infancy, primarily owing to the huge challenge in the synthesis of large-area and uniform GDY film for scalable applications. Here a modified van der Waals epitaxy strategy is proposed to synthesize wafer-scale GDY film with high uniformity and controllable thickness directly on graphene (Gr) surface, providing an ideal platform to construct large-scale GDY/Gr-based optoelectronic synapse array. Essential synaptic behaviors have been realized, and the linear and symmetric conductance-update characteristics facilitate the implementation of neuromorphic computing for image recognition with high accuracy and strong fault tolerance. Logic functions including "NAND" and "NOR" are integrated into the synapse which can be executed in an optical pathway. Moreover, a visible information sensing-memory- processing system is constructed to execute real-time image acquisition, in situ image memorization and distinction tasks, avoiding the time latency and energy consumption caused by data conversion and transmission in conventional visual systems. These results highlight the potential of GDY in applications of neuromorphic computing and artificial visual systems.

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Nano Research
Pages 4591-4600

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Cite this article:
Zhang Z-C, Li Y, Wang J-J, et al. Synthesis of wafer-scale graphdiyne/graphene heterostructure for scalable neuromorphic computing and artificial visual systems. Nano Research, 2021, 14(12): 4591-4600. https://doi.org/10.1007/s12274-021-3381-4
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Received: 02 January 2021
Revised: 31 January 2021
Accepted: 01 February 2021
Published: 02 March 2021
© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2021