Title
Research on Two-dimensional MXenes Based Synaptic Devices for the Future In-memory Computing
Abstract
Nowadays, the synaptic devices for the in-memory computing have been widely investigated due to the high-efficiency computing potential and the ability to mimic biological neurobehavior. In this work, the two-terminal and three-terminal synaptic devices based on the MXenes, a kind of two-dimensional materials, have been proposed. The typical synaptic behaviors including long-term potentiation and ...
Year
DOI
Venue
2021
10.1109/ASICON52560.2021.9620329
2021 IEEE 14th International Conference on ASIC (ASICON)
Keywords
DocType
ISBN
Handwriting recognition,Image recognition,Digital images,Conferences,Artificial neural networks,Depression,Biology
Conference
978-1-6654-3867-4
Citations 
PageRank 
References 
0
0.34
0
Authors
9
Name
Order
Citations
PageRank
Chun Zhao100.34
Tianshi Zhao200.34
Zongjie Shen300.34
Yixin Cao400.34
Yina Liu502.03
Yang Li6659125.00
Ivona Z Mitrovic700.68
Eng Gee Lim800.34
Ce Zhou Zhao900.34