High Performance Calculation of Magnetic Properties and Simulation of Nonequilibrium Phenomena in nanofilms

TL;DR

This paper presents a high-performance parallel algorithm for simulating magnetic properties and nonequilibrium phenomena in ultrathin magnetic films, focusing on hysteresis, thermal behavior, and domain dynamics using Monte Carlo methods.

Contribution

It introduces a super-scalable parallel algorithm enabling efficient simulation of magnetic and nonequilibrium phenomena in nanofilms within the Ising model framework.

Findings

Effective simulation of spin distribution changes during magnetization reversal

Insights into nanodomain structure dynamics under external magnetic fields

High computational efficiency in modeling ultrathin magnetic films

Abstract

Images of surface topography of ultrathin magnetic films have been used for Monte Carlo simulations in the framework of the ferromagnetic Ising model to study the hysteresis and thermal properties of nanomaterials. For high performance calculations was used super-scalable parallel algorithm for the finding of the equilibrium configuration. The changing of a distribution of spins on the surface during the reversal of the magnetization and the dynamics of nanodomain structure of thin magnetic films under the influence of changing external magnetic field was investigated.