G\ae{}nice: a general model for magnon band structure of artificial spin ices

TL;DR

Gaenice is a computational framework that efficiently models magnon band structures in artificial spin ices, enabling detailed analysis of their resonance properties with customizable interactions, suitable for large-scale parameter exploration.

Contribution

Introduces Gaenice, a semi-analytical, flexible, and computationally efficient tool for calculating magnon dispersion relations in various artificial spin ice configurations.

Findings

Gaenice accurately computes magnon band structures.

It allows control over interaction parameters like external field and anisotropy.

The framework is suitable for large parameter space exploration.

Abstract

Arrays of artificial spin ices exhibit reconfigurable ferromagnetic resonance frequencies that can be leveraged and designed for potential applications.However, analytical and numerical studies of the frequency response of artificial spin ices have remained somewhat limited due to the need of take into account nonlocal dipole fields in theoretical calculations or by long computation times in micromagnetic simulations. Here, we introduce Gaenice, a framework to compute magnon dispersion relations of arbitrary artificial spin ice configurations. Gaenice makes use of a tight-binding approach to compute the magnon bands. It also provides the user complete control of the interaction terms included, e.g., external field, anisotropy, exchange, and dipole, making it useful also to compute ferromagnetic resonances for a variety of structures, such as multilayers and ensembles of weakly or non-interacting nanoparticles. Because it relies on a semi-analytical model, Gaenice is computationally inexpensive and efficient, making it an attractive tool for the exploration of large parameter spaces.