Abstract

Collective dynamics in lithographically-defined artificial spin ices offer profound insights into emergent correlations and phase transitions of geometrically-frustrated Ising spin systems. Their temporal and spatial evolution are often simulated using kinetic Monte Carlo (kMC) simulations, which rely on the precise knowledge of the switching barriers to obtain predictive results in agreement with experimental observations. In many cases, however, the barriers are derived from simplified assumptions only, and do not take into account the full physical picture of nanomagnetic switching. Here we describe how the immediate magnetic square- or kagome-ice environment of a nanomagnet reversing via quasi-coherent rotation can induce clockwise and counter-clockwise switching channels with different barrier energies. This energy splitting for chiral reversal channels can be sizeable and, as string-method micromagnetic simulations show, is relevant for artificial spin ice systems made of both exchange- as well as magnetostatically-dominated units. Due to the barrier splitting and further reductions due to non-uniform reversal, transition rates can be exponentially enhanced by several orders of magnitude compared to mean-field predictions, especially in the limit of rare switching events where thermal excitation is less likely. This leads to significantly faster relaxation time scales and modified spatial correlations. Our findings are thus of integral importance to achieve realistic kMC simulations of emergent correlations in artificial spin systems, magnonic crystals, or the evolution of nanomagnetic logic circuits.

Highlights

  • Their major advantage over full micromagnetic simulations is that they are less computational costly, and can be extended to larger systems and longer time scales

  • Using artificial square ice as an instructive example, we compare switching barriers obtained from micromagnetic string-method simulations for exchange- and magnetostatic-dominated geometries to those derived from simplified point-dipole predictions

  • Using the rates for the chiral transition channels as input for kinetic Monte Carlo (kMC) simulations, we find that the evolution of an extended square ice proceeds much faster, and involves different spatial correlations when compared to a mean-field model

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Summary

15 March 2021

Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Naëmi Leo1,∗ , Matteo Pancaldi2 , Sabri Koraltan3 , Pedro Villalba González1 , Claas Abert3,4 , Christoph Vogler3, Florian Slanovc3, Florian Bruckner3, Paul Heistracher3 , Kevin Hofhuis5,6 , Matteo Menniti1 , Dieter Suess3,4 and Paolo Vavassori1,7,∗ Keywords: artificial spin systems, magnetisation switching, micromagnetic modelling, Monte Carlo simulations, dipole approximation

Chiral moment reversal
Switching environments
Switching barriers from a point-dipole model
Micromagnetic switching
Implementation of string-method simulations
Transition kinetics
Modified Arrhenius law for barrier splitting
Conclusions
Findings
Micromagnetic barriers
Full Text
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