Stochastic dynamic simulations of fast remagnetization processes: recent advances and applications

TL;DR

This paper reviews recent advances in stochastic dynamic simulations of fast remagnetization, addressing methodological issues and demonstrating applications in magnetic systems, including magnon spectra, thermal noise effects, and spin-polarized current-induced remagnetization.

Contribution

It identifies key methodological challenges in stochastic micromagnetic simulations and demonstrates their solutions through practical examples in magnetic remagnetization processes.

Findings

Finite-element discretization impacts dynamics accuracy

Choice of stochastic calculus affects simulation results

Thermal noise influences magnetization behavior in nanoelements

Abstract

Numerical simulations of fast remagnetization processes using the stochastic dynamics are widely used to study various magnetic systems. In this paper we first address several crucial methodological problems of such simulations: (i) the influence of the finite-element discretization on the simulated dynamics, (ii) choice between Ito and Stratonovich stochastic calculi by the solution of micromagnetic stochastic equations of motion and (iii) non-trivial correlation properties of the random (thermal) field. Next we discuss several examples to demonstrate the great potential of the Langevin dynamics for studying fast remagnetization processes in technically relevant applications: we present numerical analysis of equilibrium magnon spectra in patterned structures, study thermal noise effects on the magnetization dynamics of nanoelements in pulsed fields and show some results for a remagnetization dynamics induced by a spin-polarized current.