TY - GEN
T1 - Two-dimensional Layered Materials for Artificial Synapse
AU - Chen, Yen Yu
AU - Hsu, Chih Pin
AU - Liu, Pang Shiuan
AU - Hou, Tuo Hung
N1 - Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/8
Y1 - 2020/8
N2 - We discuss the unique opportunities of introducing emerging two-dimensional (2D) materials as the fundamental building blocks for neuromorphic computing, namely synaptic devices, because of their remarkable scalability, transferability, flexibility, and photosensitivity. The 2D synaptic devices based on various mechanisms including charge storage, resistive switching and ferroelectricity are reviewed and compared. Additionally, the new research forefront on optical synaptic devices is introduced.
AB - We discuss the unique opportunities of introducing emerging two-dimensional (2D) materials as the fundamental building blocks for neuromorphic computing, namely synaptic devices, because of their remarkable scalability, transferability, flexibility, and photosensitivity. The 2D synaptic devices based on various mechanisms including charge storage, resistive switching and ferroelectricity are reviewed and compared. Additionally, the new research forefront on optical synaptic devices is introduced.
UR - http://www.scopus.com/inward/record.url?scp=85093654606&partnerID=8YFLogxK
U2 - 10.1109/VLSI-TSA48913.2020.9203753
DO - 10.1109/VLSI-TSA48913.2020.9203753
M3 - Conference contribution
AN - SCOPUS:85093654606
T3 - 2020 International Symposium on VLSI Technology, Systems and Applications, VLSI-TSA 2020
SP - 141
EP - 142
BT - 2020 International Symposium on VLSI Technology, Systems and Applications, VLSI-TSA 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Symposium on VLSI Technology, Systems and Applications, VLSI-TSA 2020
Y2 - 10 August 2020 through 13 August 2020
ER -