TY - GEN
T1 - Spintronic devices towards advanced computing framework
AU - Zhang, Yue
AU - Zhang, Zhizhong
AU - Lin, Kelian
AU - Zheng, Zhenyi
AU - Feng, Xueqiang
AU - Zhao, Weisheng
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Spintronic devices manipulate the electron's spin degree of freedom to provide excellent features such as non-volatility, high speed, high density and low power consumption, which attracted intensive attention in the 'post Moore's Law era'. Traditional spintronic devices based on ferromagnetic materials are mainly fabricated towards memory applications. Beyond that, our research focuses on the magnetization dynamics in the emerging material systems with antiferromagnetic coupling, including synthetic antiferromagnets (SAFs), ferrimagnets (FIMs) as well as antiferromagnets (AFMs). Based on these, we design spintronic devices that can be used to implement high-performance unconventional computing such as reconfigurable computing in memory (CIM), reservoir computing (RC), and neuromorphic computing. These works demonstrate the potential of spintronic devices for applications in next-generation advanced computing frameworks.
AB - Spintronic devices manipulate the electron's spin degree of freedom to provide excellent features such as non-volatility, high speed, high density and low power consumption, which attracted intensive attention in the 'post Moore's Law era'. Traditional spintronic devices based on ferromagnetic materials are mainly fabricated towards memory applications. Beyond that, our research focuses on the magnetization dynamics in the emerging material systems with antiferromagnetic coupling, including synthetic antiferromagnets (SAFs), ferrimagnets (FIMs) as well as antiferromagnets (AFMs). Based on these, we design spintronic devices that can be used to implement high-performance unconventional computing such as reconfigurable computing in memory (CIM), reservoir computing (RC), and neuromorphic computing. These works demonstrate the potential of spintronic devices for applications in next-generation advanced computing frameworks.
UR - https://www.scopus.com/pages/publications/85182018664
U2 - 10.1109/NMDC57951.2023.10344054
DO - 10.1109/NMDC57951.2023.10344054
M3 - 会议稿件
AN - SCOPUS:85182018664
T3 - 2023 IEEE Nanotechnology Materials and Devices Conference, NMDC 2023
SP - 208
EP - 209
BT - 2023 IEEE Nanotechnology Materials and Devices Conference, NMDC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th IEEE Nanotechnology Materials and Devices Conference, NMDC 2023
Y2 - 22 October 2023 through 25 October 2023
ER -