Antiferromagnetic skyrmion based shape-configured leaky-integrate-fire neuron device

Author:

Bindal NamitaORCID,Raj Ravish KumarORCID,Kaushik Brajesh KumarORCID

Abstract

Abstract Spintronic devices based on antiferromagnetic (AFM) skyrmion motion on the nanotracks have gained significant interest as a key component of neuromorphic data processing systems. AFM skyrmions are favorable over the ferromagnetic (FM) skyrmions as they follow the straight trajectories and prevent its annihilation at the nanotrack edges. In this paper, the AFM skyrmion-based neuron device that exhibits the leaky-integrate-fire functionality is proposed for the first time. It exploits the current-driven skyrmion dynamics on the shape-configured nanotracks that are linearly decreasing and exponentially decaying. The device structure creates the regions from lower to higher energy states for the AFM skyrmions during its motion from the wider to narrower region. This causes the repulsion force from the nanotrack edges to act on the AFM skyrmion thereby, drifting it in the backward direction in order to minimize the system energy. This provides the leaking functionality to the neuron device without any external stimuli and additional hardware cost. The average velocities during the integration and leaky processes are in the order of 103 and 102 m s−1, respectively, for the linearly and exponentially tapered nanotracks. Moreover, the energy of the skyrmion is in the order 10−20 J. Hence, the suggested device opens up the path for the development of high-speed and energy-efficient devices in AFM spintronics for neuromorphic computing.

Publisher

IOP Publishing

Subject

Surfaces, Coatings and Films,Acoustics and Ultrasonics,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The electron resistance of a single skyrmion within ballistic approach;Applied Physics Letters;2024-08-12

2. Skyrmion-Based Transistor Utilizing Dzyaloshinskii-Moriya Interaction Barrier;2024 IEEE 24th International Conference on Nanotechnology (NANO);2024-07-08

3. Leaky-Integrate-Fire Neuron Based on Antiferromagnetic Skyrmion Under Strain Gradient;2024 IEEE 24th International Conference on Nanotechnology (NANO);2024-07-08

4. Strain-mediated multistate skyrmion for neuron devices;Nanoscale;2024

5. Voltage-Controlled Skyrmion-Based Leaky Integrate and Fire Neurons for Spiking Neural Networks;IEEE Transactions on Electron Devices;2024

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