Field-driven reversal models in artificial spin ice

Paterson, G. W. , Macauley, G. M. and Macêdo, R. (2021) Field-driven reversal models in artificial spin ice. Advanced Theory and Simulations, 4(7), 2100109. (doi: 10.1002/adts.202100109)

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A set of topological arrangements of individual ferromagnetic islands in ideal and disordered artificial spin ice (ASI) arrays is investigated in order to evaluate how aspects of their field-driven reversal are affected by the model used. The set contains the pinwheel and square ice tilings, and thus a range of magnetic ordering and reversal properties are tested. It is found that a simple point dipole model performs relatively well for square ice, but it does not replicate the properties observed in recent experiments with pinwheel ice. Parameterization of the reversal barrier in a Stoner–Wohlfarth model improves upon this, but fails to capture aspects of the physics of ferromagnetic coupling observed in pinwheel structures which have been attributed to the non-Ising nature of the islands. In particular, spin canting is found to be important in pinwheel arrays, but not in square ones, due to their different symmetries. The authors' findings will improve the modeling of ASI structures for fundamental research and in applications which are reliant upon the ability to obtain and switch through known states using an externally applied field.

Item Type:Articles
Additional Information:This work was supported by the Leverhulme Trust and the University of Glasgow through LKAS funds. G.M.M. acknowledges support by the Carnegie Trust for the Universities of Scotland, and the Swiss National Science Foundation under the auspices of Grant No. 200020_172774.
Glasgow Author(s) Enlighten ID:Macauley, Mr Gavin and Paterson, Dr Gary and Macedo, Dr Rair
Authors: Paterson, G. W., Macauley, G. M., and Macêdo, R.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
College of Science and Engineering > School of Physics and Astronomy
Journal Name:Advanced Theory and Simulations
ISSN (Online):2513-0390
Published Online:03 June 2021
Copyright Holders:Copyright © 2021 The Authors
First Published:First published in Advanced Theory and Simulations 4(7): 2100109
Publisher Policy:Reproduced under a Creative Commons License
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