TY - GEN
T1 - Compact Model of Superparamagnetic Tunnel Junction Controlled by Spin-Orbit Torque
AU - Zhang, Chaoyue
AU - Xu, Yefan
AU - Gong, Yu
AU - Peng, Shouzhong
AU - Zhang, Yue
AU - Wang, You
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Superparamagnetic tunnel junction (SMTJ), characterized by thermally driven random magnetization switching, offer novel pathways for high-sensitivity magnetic sensing and true random number generation. In this study, we developed a compact model based on magnetization dynamics and electrical characteristics for SMTJs modulated by spin-orbit torque (SOT). The temporal evolution of the magnetic moments in the free layer (FL) is described by a revised Landau-Lifshitz-Gilbert (LLG) equation, which accounts for thermal noise effect. A voltage-dependent tunneling magnetoresistance (TMR) model is introduced, thereby establishing a robust framework for circuit simulation. The model is developed by using the Verilog-A language, and the accuracy of the model was verified through simulations. The simulation results indicate that the magnetization state retention time of SMTJ is positively correlated with the thermal stability factor, and the external voltage can modulate the probability distribution of magnetization direction. This research provides theoretical support and design references for the application of superparamagnetic devices in low-power random circuits and high-precision sensors.
AB - Superparamagnetic tunnel junction (SMTJ), characterized by thermally driven random magnetization switching, offer novel pathways for high-sensitivity magnetic sensing and true random number generation. In this study, we developed a compact model based on magnetization dynamics and electrical characteristics for SMTJs modulated by spin-orbit torque (SOT). The temporal evolution of the magnetic moments in the free layer (FL) is described by a revised Landau-Lifshitz-Gilbert (LLG) equation, which accounts for thermal noise effect. A voltage-dependent tunneling magnetoresistance (TMR) model is introduced, thereby establishing a robust framework for circuit simulation. The model is developed by using the Verilog-A language, and the accuracy of the model was verified through simulations. The simulation results indicate that the magnetization state retention time of SMTJ is positively correlated with the thermal stability factor, and the external voltage can modulate the probability distribution of magnetization direction. This research provides theoretical support and design references for the application of superparamagnetic devices in low-power random circuits and high-precision sensors.
KW - electrical model
KW - spin-orbit torque
KW - superparamagnetic tunnel junction
UR - https://www.scopus.com/pages/publications/105014238660
U2 - 10.1109/ISEDA65950.2025.11101024
DO - 10.1109/ISEDA65950.2025.11101024
M3 - 会议稿件
AN - SCOPUS:105014238660
T3 - 2025 International Symposium of Electronics Design Automation, ISEDA 2025
SP - 679
EP - 682
BT - 2025 International Symposium of Electronics Design Automation, ISEDA 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 International Symposium of Electronics Design Automation, ISEDA 2025
Y2 - 9 May 2025 through 12 May 2025
ER -