RingSim—An agent-based approach for modeling mesoscopic magnetic nanowire networks

Ian T. Vidamour; Guru Venkat; Charles Swindells; David Griffin; Paul W. Fry; Richard M. Rowan-Robinson; Alexander Welbourne; Francesco Maccherozzi; Sarnjeet S. Dhesi; Susan Stepney; Dan A. Allwood; Thomas J. Hayward

doi:10.1063/5.0251692

RingSim—An agent-based approach for modeling mesoscopic magnetic nanowire networks

Ian T. Vidamour^*, Guru Venkat, Charles Swindells, David Griffin, Paul W. Fry, Richard M. Rowan-Robinson, Alexander Welbourne, Francesco Maccherozzi, Sarnjeet S. Dhesi, Susan Stepney, Dan A. Allwood, Thomas J. Hayward

^*Corresponding author for this work

Computer Science

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	133901
Number of pages	13
Journal	Journal of Applied Physics
Volume	137
Issue number	13
Early online date	1 Apr 2025
DOIs	https://doi.org/10.1063/5.0251692
Publication status	E-pub ahead of print - 1 Apr 2025

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133901_1_5.0251692
© 2025 Author(s).
Final published version, 6.33 MBLicence: CC BY

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Vidamour, I. T., Venkat, G., Swindells, C., Griffin, D., Fry, P. W., Rowan-Robinson, R. M., Welbourne, A., Maccherozzi, F., Dhesi, S. S., Stepney, S., Allwood, D. A., & Hayward, T. J. (2025). RingSim—An agent-based approach for modeling mesoscopic magnetic nanowire networks. Journal of Applied Physics, 137(13), Article 133901. Advance online publication. https://doi.org/10.1063/5.0251692

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AU - Fry, Paul W.

AU - Rowan-Robinson, Richard M.

AU - Welbourne, Alexander

AU - Maccherozzi, Francesco

AU - Dhesi, Sarnjeet S.

AU - Stepney, Susan

AU - Allwood, Dan A.

AU - Hayward, Thomas J.

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AB - 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.

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RingSim—An agent-based approach for modeling mesoscopic magnetic nanowire networks

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