Ice sculpting: An artificial spin ice Tutorial on controlling microstate and geometry for magnonics and neuromorphic computing

Artificial spin ice, arrays of strongly interacting nanomagnets, are complex magnetic systems with many emergent properties, rich microstate spaces, intrinsic physical memory, high-frequency dynamics in the GHz range, and compatibility with a broad range of measurement approaches. This Tutorial article aims to provide the foundational knowledge needed to understand, design, develop, and improve the dynamic properties of artificial spin ice. Special emphasis is placed on introducing the theory of micromagnetics, which describes the complex dynamics within these systems, along with their design, fabrication methods, and standard measurement and control techniques. The article begins with a review of the historical background, introducing the underlying physical phenomena and interactions that govern artificial spin ice. We then explore the standard experimental techniques used to prepare the microstate space of the nanomagnetic array and to characterize magnetization dynamics, both in artificial spin ice and more broadly in ferromagnetic materials. Finally, we introduce the basics of neuromorphic computing applied to the case of artificial spin ice systems with a goal to help researchers new to the field grasp these exciting new developments.

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Publication Details

Journal
Journal of Applied Physics
Published
2025-08-08
DOI
https://doi.org/10.1063/5.0274799
Citations
8
Primary Topic
Advanced Condensed Matter Physics
Type
article
Field-Weighted Citation Impact
10.06

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article

Ice sculpting: An artificial spin ice Tutorial on controlling microstate and geometry for magnonics and neuromorphic computing

Daan M. Arroo, Amrit Kumar Mondal, J. Todd Hastings, Jack C. Gartside et al.
8 citations
Journal of Applied Physics
Advanced Condensed Matter Physics
10.06
article

Ice sculpting: An artificial spin ice Tutorial on controlling microstate and geometry for magnonics and neuromorphic computing

Daan M. Arroo, Amrit Kumar Mondal, J. Todd Hastings, Jack C. Gartside, Margaret R. McCarter, Kilian D. Stenning, Yue Li, M. Benjamin Jungfleisch, L. E. De Long, Vinayak Shantaram Bhat, R. Sultana, Aastha Vasdev
article en
8 citations

Abstract

Artificial spin ice, arrays of strongly interacting nanomagnets, are complex magnetic systems with many emergent properties, rich microstate spaces, intrinsic physical memory, high-frequency dynamics in the GHz range, and compatibility with a broad range of measurement approaches. This Tutorial article aims to provide the foundational knowledge needed to understand, design, develop, and improve the dynamic properties of artificial spin ice. Special emphasis is placed on introducing the theory of micromagnetics, which describes the complex dynamics within these systems, along with their design, fabrication methods, and standard measurement and control techniques. The article begins with a review of the historical background, introducing the underlying physical phenomena and interactions that govern artificial spin ice. We then explore the standard experimental techniques used to prepare the microstate space of the nanomagnetic array and to characterize magnetization dynamics, both in artificial spin ice and more broadly in ferromagnetic materials. Finally, we introduce the basics of neuromorphic computing applied to the case of artificial spin ice systems with a goal to help researchers new to the field grasp these exciting new developments.

Journal of Applied PhysicsVol. 138(6)
Argonne National Laboratory (US), University of Kentucky (US), Lawrence Berkeley National Laboratory (US), Tohoku University (JP), London Centre for Nanotechnology (GB), Imperial College London (GB), University of Delaware (US)
National Science Foundation, U.S. Department of Energy, Office of Science, Basic Energy Sciences
Openalex Percentile: Top 2%
Advanced Condensed Matter Physics
10.06
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