Ferromagnetic skyrmionium-based artificial neuron devices using magnetic field gradients

Vigo-Cotrina H.; Navarro-Vilca S.; Urcia-Romero S. · Journal of Magnetism and Magnetic Materials (2025) · DOI: 10.1016/j.jmmm.2025.173321

Resumen

Skyrmioniums are protected topological textures that have potential applications in spintronics. This study demonstrates the feasibility of simulating an artificial neuron device with leaky-integrate-and-fire (LIF) functionality on a ferromagnetic racetrack using micromagnetic simulations. First, we determine the magnetic field range required to stabilize a skyrmionium. Then, we show that applying a magnetic field gradient enables the controlled displacement of a skyrmionium along the racetrack. Our results indicates that the displacement speed increases with a stronger gradient intensity or a lower damping constant. These findings agree with those predicted by the Thiele equation. We also demonstrate that applying current pulses along with a magnetic field gradient makes it possible to emulate LIF functionality on a racetrack, using skyrmioniums as a fundamental building block.

Instituciones: Universidad Nacional Jorge Basadre Grohmann; Universidad Privada del Norte