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

神经形态工程学 材料科学 可扩展性 计算机科学 纳米技术 光电子学 石墨烯 人工智能 异质结 薄脆饼 人工神经网络 数据库
作者
Zhicheng Zhang,Yi Li,Jingjing Wang,De-Han Qi,Bin‐Wei Yao,Mei‐Xi Yu,Xu‐Dong Chen,Tong‐Bu Lu
出处
期刊:Nano Research [Springer Science+Business Media]
卷期号:14 (12): 4591-4600 被引量:60
标识
DOI:10.1007/s12274-021-3381-4
摘要

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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