Thermal noise induced probability switching in magnetic tunnel junction based on spin-circuit simulation

The probability switching characteristics in spin transfer torque magnetic tunnel junctions (STT-MTJs) are simulated by considering thermal noise using a spin-circuit module. Thermal noise significantly affects the probability switching for pulse durations exceeding 10 ns, while no probability switching properties are observed for pulses shorter than 1 ns due to the precessional switching. For pulse durations between 1 ns and 10 ns, the occurrence of mixed probability and abrupt switching suggests that thermal noise partially influences the switching properties. These results demonstrate the effectiveness of our simulation model in capturing the MTJ properties under the influence of thermal noise. The spin-circuit module used in this study lays the groundwork for future circuit system designs utilizing MTJ devices, such as true random number generators and neural network computing.

Publication Details

Journal
ArXiv.org
Published
2025-05-01
Primary Topic
Magnetic properties of thin films
Type
article
Field-Weighted Citation Impact
0.00

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article

Thermal noise induced probability switching in magnetic tunnel junction based on spin-circuit simulation

ArXiv.org
Magnetic properties of thin films
article

Thermal noise induced probability switching in magnetic tunnel junction based on spin-circuit simulation

article en

Abstract

The probability switching characteristics in spin transfer torque magnetic tunnel junctions (STT-MTJs) are simulated by considering thermal noise using a spin-circuit module. Thermal noise significantly affects the probability switching for pulse durations exceeding 10 ns, while no probability switching properties are observed for pulses shorter than 1 ns due to the precessional switching. For pulse durations between 1 ns and 10 ns, the occurrence of mixed probability and abrupt switching suggests that thermal noise partially influences the switching properties. These results demonstrate the effectiveness of our simulation model in capturing the MTJ properties under the influence of thermal noise. The spin-circuit module used in this study lays the groundwork for future circuit system designs utilizing MTJ devices, such as true random number generators and neural network computing.

ArXiv.org
Shenzhen Technology University, Shenzhen Fundamental Research and Discipline Layout project
Openalex Percentile: Top 53%
Magnetic properties of thin films
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