Two-dimensional materials for synaptic electronics and neuromorphic systems

被引:84
|
作者
Wang, Shuiyuan [1 ]
Zhang, David Wei [1 ]
Zhou, Peng [1 ]
机构
[1] Fudan Univ, Sch Microelect, State Key Lab ASIC & Syst, Shanghai 200433, Peoples R China
基金
中国国家自然科学基金;
关键词
Artificial synaptic electronics; Neuromorphic computation; 2D materials; Synaptic plasticity; Hebbian learning; CHEMICAL-VAPOR-DEPOSITION; MULTILAYER MOS2 TRANSISTORS; LONG-TERM POTENTIATION; GRAPHENE; MEMORY; PLASTICITY; MEMRISTOR; TRANSPORT; SYNAPSES; DEVICE;
D O I
10.1016/j.scib.2019.01.016
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Synapses in biology provide a variety of functions for the neural system. Artificial synaptic electronics that mimic the biological neuron functions are basic building blocks and developing novel artificial synapses is essential for neuromorphic computation. Inspired by the unique features of biological synapses that the basic connection components of the nervous system and the parallelism, low power consumption, fault tolerance, self-learning and robustness of biological neural systems, artificial synaptic electronics and neuromorphic systems have the potential to overcome the traditional von Neumann bottleneck and create a new paradigm for dealing with complex problems such as pattern recognition, image classification, decision making and associative learning. Nowadays, two-dimensional (2D) materials have drawn great attention in simulating synaptic dynamic plasticity and neuromorphic computing with their unique properties. Here we describe the basic concepts of bio-synaptic plasticity and learning, the 2D materials library and its preparation. We review recent advances in synaptic electronics and artificial neuromorphic systems based on 2D materials and provide our perspective in utilizing 2D materials to implement synaptic electronics and neuromorphic systems in hardware. (C) 2019 Science China Press. Published by Elsevier B.V. and Science China Press. All rights reserved.
引用
收藏
页码:1056 / 1066
页数:11
相关论文
共 50 条
  • [41] Two-dimensional electronics supply chain
    Navas, Deb
    ID Systems, 2000, 20 (03):
  • [42] Hybrid dielectrics for two-dimensional electronics
    Liu, Yang
    Hone, James C.
    NATURE MATERIALS, 2023, 22 (09) : 1059 - 1060
  • [43] Two-dimensional materials
    Huang, Jiaxing
    Goldberger, Joshua E.
    JOURNAL OF SOLID STATE CHEMISTRY, 2015, 224 : 1 - 1
  • [44] Defect engineering of two-dimensional materials towards next generation electronics and optoelectronics
    Jiang, Jie
    Yang, Peng
    Liou, Juin J.
    Liao, Wugang
    Chai, Yang
    NANO RESEARCH, 2023, 16 (02) : 3104 - 3124
  • [45] Electronics based on two-dimensional materials (vol 9, pg 768, 2014)
    Fiori, Gianluca
    Bonaccorso, Francesco
    Iannaccone, Giuseppe
    Palacios, Tomas
    Neumaier, Daniel
    Seabaugh, Alan
    Banerjee, Sanjay K.
    Colombo, Luigi
    NATURE NANOTECHNOLOGY, 2014, 9 (12) : 1063 - 1063
  • [46] Tailored nano-electronics and photonics with two-dimensional materials at terahertz frequencies
    Viti, Leonardo
    Vitiello, Miriam Serena
    JOURNAL OF APPLIED PHYSICS, 2021, 130 (17)
  • [47] Environmentally Stable and Reconfigurable Ultralow-Power Two-Dimensional Tellurene Synaptic Transistor for Neuromorphic Edge Computing
    Yoon, Jeechan
    You, Bolim
    Kim, Yuna
    Bak, Jina
    Yang, Mino
    Park, Jihyang
    Hahm, Myung Gwan
    Lee, Moonsang
    ACS APPLIED MATERIALS & INTERFACES, 2023, 15 (14) : 18463 - 18472
  • [48] Ultralow switching voltage slope based on two-dimensional materials for integrated memory and neuromorphic applications
    Sun, Linfeng
    Hwang, Genuwoo
    Choi, Wooseon
    Han, Gyeongtak
    Zhang, Yishu
    Jiang, Jinbao
    Zheng, Shoujun
    Watanabe, Kenji
    Taniguchi, Takashi
    Zhao, Mali
    Zhao, Rong
    Kim, Young-Min
    Yang, Heejun
    NANO ENERGY, 2020, 69 (69)
  • [49] Flexible and stretchable synaptic devices for wearable neuromorphic electronics
    Lee, Hyeon-Soo
    Ro, Jun-Seok
    Ko, Gyu-Min
    Park, Hea-Lim
    FLEXIBLE AND PRINTED ELECTRONICS, 2023, 8 (04):
  • [50] Synaptic transistors and neuromorphic systems based on carbon nano-materials
    Du, Chunyu
    Ren, Yanyun
    Qu, Zhiyang
    Gao, Lili
    Zhai, Yongbiao
    Han, Su-Ting
    Zhou, Ye
    NANOSCALE, 2021, 13 (16) : 7498 - 7522