Synthesis of wafer-scale graphdiyne/graphene heterostructure for scalable neuromorphic computing and artificial visual systems
作者机构：Ministry of Education International Joint Laboratory of Materials MicrostructureInstitute for New Energy Materials and Low Carbon TechnologiesSchool of Material Science and EngineeringTianjin University of TechnologyTianjin300384China Key Laboratory of Computer Vision and Systems(Ministry of Education)School of Computer Science and EngineeringTianjin University of TechnologyTianjin300384China
出 版 物：《Nano Research》 (纳米研究（英文版）)
年 卷 期：2021年第14卷第12期
页 面：4591-4600页
核心收录：
学科分类：081702[工学-化学工艺] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0817[工学-化学工程与技术] 0805[工学-材料科学与工程（可授工学、理学学位）] 0702[理学-物理学]
基 金：This work was supported by the National Natural Science Foundation of China(Nos.21790052 and 51802220) Natural Science Foundation of Tianjin City(No.19JCYBJC17300)
主 题：graphdiyne optoelectronic synapses neuromorphic computing sensing-memory-processing optical logic functions
摘 要：Graphdiyne(GDY)is emerging as a promising material for various applications owing to its unique structure and fascinating ***,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 *** 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 *** 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 *** functions including“NANDand“NORare integrated into the synapse which can be executed in an optical ***,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 *** results highlight the potential of GDY in applications of neuromorphic computing and artificial visual systems.
维普期刊数据库