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

R Rawnak Sultana (Department of Physics and Astronomy, University of Delaware 1 , Newark, Delaware 19716,) A Amrit Kumar Mondal (Department of Physics and Astronomy, University of Delaware 1 , Newark, Delaware 19716,) V Vinayak Shantaram Bhat (Department of Physics and Astronomy, University of Delaware , Newark, Delaware 19716,) K Kilian Stenning (Blackett Laboratory, Imperial College London 2 , London,) Y Yue Li D Daan M. Arroo (London Centre for Nanotechnology, Imperial College London 3 , London,) A Aastha Vasdev (Materials Science Division, Argonne National Laboratory 4 , Lemont, Illinois 60439,) M Margaret R. McCarter L Lance E. De Long (Department of Physics and Astronomy, University of Kentucky 7 , Lexington, Kentucky 40506,) J J. Todd Hastings (Department of Physics and Astronomy, University of Kentucky 7 , Lexington, Kentucky 40506,) J Jack C. Gartside M M. Benjamin Jungfleisch (Department of Physics and Astronomy)

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.

Article Details

Volume / Issue Vol. 138, Issue 6
Published August 14, 2025
ISSN 0021-8979
Publisher American Institute of Physics

Journal Info

Journal of Applied Physics

American Institute of Physics

ISSN: 0021-8979 Physical Sciences

Authors (12)

R

Rawnak Sultana

Department of Physics and Astronomy, University of Delaware 1 , Newark, Delaware 19716,

A

Amrit Kumar Mondal

Department of Physics and Astronomy, University of Delaware 1 , Newark, Delaware 19716,

V

Vinayak Shantaram Bhat

Department of Physics and Astronomy, University of Delaware , Newark, Delaware 19716,

K

Kilian Stenning

Blackett Laboratory, Imperial College London 2 , London,

Y

Yue Li

D

Daan M. Arroo

London Centre for Nanotechnology, Imperial College London 3 , London,

A

Aastha Vasdev

Materials Science Division, Argonne National Laboratory 4 , Lemont, Illinois 60439,

M

Margaret R. McCarter

L

Lance E. De Long

Department of Physics and Astronomy, University of Kentucky 7 , Lexington, Kentucky 40506,

J

J. Todd Hastings

Department of Physics and Astronomy, University of Kentucky 7 , Lexington, Kentucky 40506,

J

Jack C. Gartside

M

M. Benjamin Jungfleisch

Department of Physics and Astronomy