Signal detection based on the chaotic motion of an antiferromagnetic domain wall

TL;DR

This paper models the chaotic motion of antiferromagnetic domain walls as Duffing oscillators, proposing their use in signal detection and analyzing their chaotic behavior through bifurcation diagrams and Lyapunov exponents.

Contribution

It introduces a novel approach to describe antiferromagnetic domain wall dynamics using the Duffing equation and explores their application in signal detection.

Findings

Domain wall motion follows the Duffing equation.

Chaotic behavior can be used for signal detection.

Numerical results match analytical solutions.

Abstract

The antiferromagnetic domain wall dynamics is currently a hot topic in mesoscopic magnetic systems. In this work, it is found that, based on the Thiele approach, the motion of an antiferromagnetic domain wall is described by the Duffing equation. Numerical simulations demonstrate that the antiferromagnetic domain wall can be used as a Duffing oscillator, and the transition between the periodic and chaotic motion can be used to detect the periodic signal in the presence of the white noise. Furthermore, we calculate the bifurcation diagram and Lyapunov exponents to study the chaotic behavior of an antiferromagnetic domain wall. The numerical simulations are in good agreement with the analytical solutions. Our results may be useful for building spintronic detection devices based on antiferromagnetic domain walls.