RingSim- An Agent-based Approach for Modelling Mesoscopic Magnetic Nanowire Networks

TL;DR

RingSim is an agent-based model that efficiently simulates mesoscale magnetic nanowire networks, capturing dynamic behaviors and interactions that are challenging for traditional micromagnetic tools.

Contribution

The paper introduces RingSim, a novel agent-based simulation framework for mesoscale magnetic nanowire networks, enabling large-scale, long-duration modeling with validated accuracy.

Findings

Model accurately replicates experimental static and dynamic responses.

Agent-based approach extends simulation capabilities to larger scales.

Validated against experimental data for ring-shaped nanowire arrays.

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 behaviours 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 modelled and experimental data demonstrates that agent-based modelling is a powerful tool for exploring mesoscale magnetic devices, enabling time scales and device sizes that are inaccessible to more conventional magnetic simulation techniques.