Two-Dimensional MXene Synapse for Brain-Inspired Neuromorphic Computing

被引:23
|
作者
Ju, Jae Hyeok [1 ]
Seo, Seunghwan [2 ]
Baek, Sungpyo [1 ]
Lee, Dongyoung [2 ]
Lee, Seojoo [1 ,2 ]
Lee, Taeran [3 ]
Kim, Byeongchan [2 ]
Lee, Je-Jun [2 ]
Koo, Jiwan [2 ]
Choo, Hyeongseok [2 ]
Lee, Sungjoo [4 ]
Park, Jin-Hong [1 ,2 ]
机构
[1] Sungkyunkwan Univ, SKKU Adv Inst Nanotechnol SAINT, Suwon 16419, South Korea
[2] Sungkyunkwan Univ, Dept Elect & Comp Engn, Suwon 16419, South Korea
[3] Sungkyunkwan Univ, Dept Phys, Suwon 16419, South Korea
[4] Sungkyunkwan Univ, Dept Nano Engn, Suwon 16419, South Korea
基金
新加坡国家研究基金会;
关键词
artificial synapse; brain-inspired neuromorphic computing; convolutional neural network; two-dimensional MXene; LONG-TERM POTENTIATION; TITANIUM CARBIDE MXENE; NEURONS; FILMS;
D O I
10.1002/smll.202102595
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
MXenes, an emerging class of two-dimensional (2D) transition metal carbides and nitrides, have attracted wide attention because of their fascinating properties required in functional electronics. Here, an atomic-switch-type artificial synapse fabricated on Ti3C2Tx MXene nanosheets with lots of surface functional groups, which successfully mimics the dynamics of biological synapses, is reported. Through in-depth analysis by X-ray photoelectron spectroscopy, transmission electron microscopy, and energy dispersive X-ray spectroscopy, it is found that the synaptic dynamics originated from the gradual formation and annihilation of the conductive metallic filaments on the MXene surface with distributed functional groups. Subsequently, via training and inference tasks using a convolutional neural network for the Canadian-Institute-For-Advanced-Research-10 dataset, the applicability of the artificial MXene synapse to hardware neural networks is demonstrated.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Brain-inspired Learning drives Advances in Neuromorphic Computing
    Ahmad, Nasir
    Rueckauer, Bodo
    van Gerven, Marcel
    [J]. ERCIM NEWS, 2021, (125): : 24 - 25
  • [2] Brain-inspired global-local learning incorporated with neuromorphic computing
    Yujie Wu
    Rong Zhao
    Jun Zhu
    Feng Chen
    Mingkun Xu
    Guoqi Li
    Sen Song
    Lei Deng
    Guanrui Wang
    Hao Zheng
    Songchen Ma
    Jing Pei
    Youhui Zhang
    Mingguo Zhao
    Luping Shi
    [J]. Nature Communications, 13
  • [3] Brain-inspired global-local learning incorporated with neuromorphic computing
    Wu, Yujie
    Zhao, Rong
    Zhu, Jun
    Chen, Feng
    Xu, Mingkun
    Li, Guoqi
    Song, Sen
    Deng, Lei
    Wang, Guanrui
    Zheng, Hao
    Ma, Songchen
    Pei, Jing
    Zhang, Youhui
    Zhao, Mingguo
    Shi, Luping
    [J]. NATURE COMMUNICATIONS, 2022, 13 (01)
  • [4] Brain-inspired computing
    Furber, Steve B.
    [J]. IET COMPUTERS AND DIGITAL TECHNIQUES, 2016, 10 (06): : 299 - 305
  • [5] Brain-Inspired Computing
    Modha, Dharmendra S.
    [J]. 2015 INTERNATIONAL CONFERENCE ON PARALLEL ARCHITECTURE AND COMPILATION (PACT), 2015, : 253 - 253
  • [6] Brain-Inspired Learning on Neuromorphic Substrates
    Zenke, Friedemann
    Neftci, Emre O.
    [J]. PROCEEDINGS OF THE IEEE, 2021, 109 (05) : 935 - 950
  • [7] Organic Synapses for Neuromorphic Electronics: From Brain-Inspired Computing to Sensorimotor Nervetronics
    Lee, Yeongjun
    Lee, Tae-Woo
    [J]. ACCOUNTS OF CHEMICAL RESEARCH, 2019, 52 (04) : 964 - 974
  • [8] Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing
    Pedersen, Jens E.
    Abreu, Steven
    Jobst, Matthias
    Lenz, Gregor
    Fra, Vittorio
    Bauer, Felix Christian
    Muir, Dylan Richard
    Zhou, Peng
    Vogginger, Bernhard
    Heckel, Kade
    Urgese, Gianvito
    Shankar, Sadasivan
    Stewart, Terrence C.
    Sheik, Sadique
    Eshraghian, Jason K.
    [J]. NATURE COMMUNICATIONS, 2024, 15 (01)
  • [9] Dual-terminal artificial synapse in two-dimensional CrSBr memristor for neuromorphic computing
    Li, Zhi
    Liu, Ruiqi
    Chu, Yafei
    Feng, Sihua
    Lan, Weican
    Duan, Hengli
    Liu, Chaocheng
    Yan, Wensheng
    [J]. JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS, 2024, 35 (16)
  • [10] Recent Progress in Artificial Synapses Based on Two-Dimensional van der Waals Materials for Brain-Inspired Computing
    Seo, Seunghwan
    Lee, Je-Jun
    Lee, Ho-Jun
    Lee, Hae Won
    Oh, Seyong
    Lee, Je Jun
    Heo, Keun
    Park, Jin-Hong
    [J]. ACS APPLIED ELECTRONIC MATERIALS, 2020, 2 (02): : 371 - 388