Chin. Phys. Lett.  2018, Vol. 35 Issue (5): 057501    DOI: 10.1088/0256-307X/35/5/057501
Shape Anisotropy and Resonance Mode Guided Reliable Interconnect Design for In-plane Magnetic Logic
Xiao-Kuo Yang1**, Bin Zhang1, Jia-Hao Liu1, Ming-Liang Zhang2, Wei-Wei Li3, Huan-Qing Cui1, Bo Wei1
1Department of Foundation, Air Force Engineering University, Xi'an 710051
2Department of Wire Communication, Air Force Communication NCO Academy, Dalian 116600
3Tsinghua National Laboratory for Information Science and Technology, Institute of Microelectronics, Tsinghua University, Beijing 100084
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Xiao-Kuo Yang, Bin Zhang, Jia-Hao Liu et al  2018 Chin. Phys. Lett. 35 057501
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Abstract Dipole coupled nanomagnets controlled by the static Zeeman field can form various magnetic logic interconnects. However, the corner wire interconnect is often unreliable and error-prone at room temperature. In this study, we address this problem by making it into a reliable type with trapezoid-shaped nanomagnets, the shape anisotropy of which helps to offer the robustness. The building method of the proposed corner wire interconnect is discussed, and both its static and dynamic magnetization properties are investigated. Static micromagnetic simulation demonstrates that it can work correctly and reliably. Dynamic response results are reached by imposing an ac microwave field on the proposed corner wire. It is found that strong ferromagnetic resonance absorption appears at a low frequency. With the help of a very small ac field with the peak resonance frequency, the required static Zeeman field to switch the corner wire is significantly decreased by $\sim$21 mT. This novel interconnect would pave the way for the realization of reliable and low power nanomagnetic logic circuits.
Received: 04 January 2018      Published: 30 April 2018
PACS:  75.78.-n (Magnetization dynamics)  
  85.70.Kh (Magnetic thin film devices: magnetic heads (magnetoresistive, inductive, etc.); domain-motion devices, etc.)  
  85.80.Jm (Magnetoelectric devices)  
Fund: Supported by the National Natural Science Foundation of China under Grant No 61302022.
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Xiao-Kuo Yang
Bin Zhang
Jia-Hao Liu
Ming-Liang Zhang
Wei-Wei Li
Huan-Qing Cui
Bo Wei
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