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Two-Dimensional MXene Synapse for Brain-Inspired Neuromorphic Computing

delete2021-07-17
delete27
PRE
AI
J
Jae Hyeok Ju
S
Seunghwan Seo
S
Sungpyo Baek
D
Dongyoung Lee
S
Seojoo Lee *
L
Lee, Taeran
K
Kim, Byeongchan
L
Lee, Je-Jun
K
Koo, Jiwan
C
Choo, Hyeongseok
L
Lee, Sungjoo *
J
Jin‐Hong Park *
DOI:10.1002/smll.202102595delete
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摘要

摘要

En 中文
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.
Keyword:
artificial synapse
brain-inspired neuromorphic computing
convolutional neural network
two-dimensional MXene

期刊

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Small
IF:
12.1
论文数:
3.0W
被引数:
16.4W

机构

S
sungkyunkwan university (skku)
学者数:
3.7W
论文数: 3.6W
被引数: 49
引用论文

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