Field-driven Reversal Models in Artificial Spin Ice
Gary W. Paterson, Gavin M. Macauley, Rair Mac\^edo

TL;DR
This study compares different models of magnetic reversal in artificial spin ice arrays, highlighting the importance of non-Ising effects like spin canting in accurately predicting behavior, especially in pinwheel structures.
Contribution
It evaluates the effectiveness of point dipole and Stoner-Wohlfarth models in simulating field-driven reversal in various artificial spin ice geometries, emphasizing the role of non-Ising effects.
Findings
Point dipole model works well for square ice.
Stoner-Wohlfarth model improves predictions but misses non-Ising effects.
Spin canting is crucial in pinwheel arrays, less so in square ice.
Abstract
We investigate a set of topological arrangements of individual ferromagnetic islands in ideal and disordered artificial spin ice (ASI) arrays 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. We find 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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
