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
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