TY - JOUR
T1 - Research on Two-dimensional MXenes Based Synaptic Devices for the Future In-memory Computing
AU - Zhao, Chun
AU - Zhao, Tianshi
AU - Shen, Zongjie
AU - Cao, Yixin
AU - Liu, Yina
AU - Yang, Li
AU - Mitrovic, Ivona Z.
AU - Gee Lim, Eng
AU - Zhao, Ce Zhou
N1 - Funding Information:
This research was funded in part by the Natural Science Foundation of the Jiangsu Higher Education Institutions of China Program (19KJB510059), the Suzhou Science and Technology Development Planning Project: Key Industrial Technology Innovation (SYG201924), and the Key Program Special Fund in XJTLU (KSF-P-02, KSF-T-03, KSF-A-04, KSF-A-05, KSF-A-07).
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - 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 depression (LTP/D) have also been studied. Moreover, through combining the LTP/D property with the simulator based in artificial neural network (ANN), a task of handwritten digital image recognition has been successfully operated. Finally, based on the synaptic effect under light stimulation, an application for storing and processing sequence information of different light wavelengths has also been proposed and reported.
AB - 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 depression (LTP/D) have also been studied. Moreover, through combining the LTP/D property with the simulator based in artificial neural network (ANN), a task of handwritten digital image recognition has been successfully operated. Finally, based on the synaptic effect under light stimulation, an application for storing and processing sequence information of different light wavelengths has also been proposed and reported.
UR - http://www.scopus.com/inward/record.url?scp=85122880733&partnerID=8YFLogxK
U2 - 10.1109/ASICON52560.2021.9620329
DO - 10.1109/ASICON52560.2021.9620329
M3 - Conference article
AN - SCOPUS:85122880733
SN - 2162-7541
JO - Proceedings of International Conference on ASIC
JF - Proceedings of International Conference on ASIC
T2 - 14th IEEE International Conference on ASIC, ASICON 2021
Y2 - 26 October 2021 through 29 October 2021
ER -