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

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 10(3) and 10(2) 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.

Automated summary

This paper proposes a neuron device based on AFM skyrmions, which exhibits the leaky-integrate-fire functionality. By utilizing current-driven skyrmion dynamics on shape-configured nanotracks, high-speed and energy-efficient neuromorphic computing can be achieved.