Vidamour, I.T. orcid.org/0000-0002-6909-2711, Venkat, G. orcid.org/0000-0001-6255-3151, Swindells, C. orcid.org/0000-0002-9572-5930 et al. (9 more authors) (2025) RingSim—an agent-based approach for modeling mesoscopic magnetic nanowire networks. Journal of Applied Physics, 137 (13). 133901. ISSN 0021-8979
Abstract
We describe “RingSim,” a phenomenological agent-based model that allows numerical simulation of magnetic nanowire networks with areas of hundreds of micrometers squared for durations of hundreds of seconds, a practical impossibility for general-purpose micromagnetic simulation tools. In RingSim, domain walls (DWs) are instanced as mobile agents, which respond to external magnetic fields, and their stochastic interactions with pinning sites and other DWs are described via simple phenomenological rules. We first present a detailed description of the model and its algorithmic implementation for simulating the behaviors of arrays of interconnected ring-shaped nanowires, which have previously been proposed as hardware platforms for unconventional computing applications. The model is then validated against a series of experimental measurements of an array’s static and dynamic responses to rotating magnetic fields. The robust agreement between the modeled and experimental data demonstrates that agent-based modeling is a powerful tool for exploring mesoscale magnetic devices, enabling time scales and device sizes that are inaccessible to more conventional magnetic simulation techniques.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2025 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Keywords: | Magnetic devices; Magnetic materials; Magnetic ordering, X-ray magnetic circular dichroism spectroscopy; Computer simulation; Agent based models; Magnetic nanostructures; Stochastic processes |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) The University of Sheffield > Faculty of Engineering (Sheffield) > School of Chemical, Materials and Biological Engineering The University of Sheffield > Faculty of Engineering (Sheffield) > School of Electrical and Electronic Engineering |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL EP/S009647/1 EUROPEAN COMMISSION - HORIZON 2020 861618 ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL EP/V006339/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 17 Apr 2025 10:31 |
Last Modified: | 17 Apr 2025 10:31 |
Status: | Published |
Publisher: | AIP Publishing |
Refereed: | Yes |
Identification Number: | 10.1063/5.0251692 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:225585 |