| CONDENSED MATTER: ELECTRONIC STRUCTURE, ELECTRICAL, MAGNETIC, AND OPTICAL PROPERTIES |
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The Combined Effect of Spin-Transfer Torque and Voltage-Controlled Strain Gradient on Magnetic Domain-Wall Dynamics: Toward Tunable Spintronic Neuron |
| Guo-Liang Yu1,2*, Xin-Yan He1, Sheng-Bin Shi3, Yang Qiu1,2, Ming-Min Zhu1,2, Jia-Wei Wang1,2, Yan Li1,2, Yuan-Xun Li4, Jie Wang3*, and Hao-Miao Zhou1,2* |
1College of Information Engineering, China Jiliang University, Hangzhou 310018, China
2The Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, Hangzhou 310018, China
3Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, China
4School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
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| Cite this article: |
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Guo-Liang Yu, Xin-Yan He, Sheng-Bin Shi et al 2024 Chin. Phys. Lett. 41 057502 |
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Abstract Magnetic domain wall (DW), as one of the promising information carriers in spintronic devices, have been widely investigated owing to its nonlinear dynamics and tunable properties. Here, we theoretically and numerically demonstrate the DW dynamics driven by the synergistic interaction between current-induced spin-transfer torque (STT) and voltage-controlled strain gradient (VCSG) in multiferroic heterostructures. Through electromechanical and micromagnetic simulations, we show that a desirable strain gradient can be created and it further modulates the equilibrium position and velocity of the current-driven DW motion. Meanwhile, an analytical Thiele's model is developed to describe the steady motion of DW and the analytical results are quite consistent with the simulation data. Finally, we find that this combination effect can be leveraged to design DW-based biological neurons where the synergistic interaction between STT and VCSG-driven DW motion as integrating and leaking motivates mimicking leaky-integrate-and-fire (LIF) and self-reset function. Importantly, the firing response of the LIF neuron can be efficiently modulated, facilitating the exploration of tunable activation function generators, which can further help improve the computational capability of the neuromorphic system.
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Received: 21 January 2024
Published: 11 May 2024
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| PACS: |
75.60.Ch
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(Domain walls and domain structure)
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75.78.Cd
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(Micromagnetic simulations ?)
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75.85.+t
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(Magnetoelectric effects, multiferroics)
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85.75.-d
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(Magnetoelectronics; spintronics: devices exploiting spin polarized transport or integrated magnetic fields)
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