Temperature-dependent collective magnetization reversal in a network of ferromagnetic nanowires
The collective behavior of geometrically frustrated magnetization in connected networks of ferromagnetic nanowires, known as artificial spin ice, leads to complex magnetotransport behavior in those structures. Here, we present temperature- and current-dependent magnetotransport studies on a connecte...
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2021-02-01
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Series: | AIP Advances |
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doaj-448205ab99ac4e6bbebcbe7247f336a82021-03-02T21:48:04ZengAIP Publishing LLCAIP Advances2158-32262021-02-01112025222025222-510.1063/9.0000170Temperature-dependent collective magnetization reversal in a network of ferromagnetic nanowiresSergi Lendínez0John E. Pearson1Axel Hoffmann2Valentyn Novosad3M. Benjamin Jungfleisch4Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USAMaterials Science Division, Argonne National Laboratory, Lemont, Illinois 60439, USAMaterials Science Division, Argonne National Laboratory, Lemont, Illinois 60439, USAMaterials Science Division, Argonne National Laboratory, Lemont, Illinois 60439, USADepartment of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USAThe collective behavior of geometrically frustrated magnetization in connected networks of ferromagnetic nanowires, known as artificial spin ice, leads to complex magnetotransport behavior in those structures. Here, we present temperature- and current-dependent magnetotransport studies on a connected square artificial spin-ice system and correlate our observations to micromagnetic simulations. We find that the field at which the lattice magnetization collectively switches increases as the temperature is lowered. Our experimental findings highlight the importance of the global and local temperatures for the onset of a collective magnetization reversal in the connected system. These studies may also provide useful insights into novel storage concepts and applications in neuromorphic computing.http://dx.doi.org/10.1063/9.0000170 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sergi Lendínez John E. Pearson Axel Hoffmann Valentyn Novosad M. Benjamin Jungfleisch |
spellingShingle |
Sergi Lendínez John E. Pearson Axel Hoffmann Valentyn Novosad M. Benjamin Jungfleisch Temperature-dependent collective magnetization reversal in a network of ferromagnetic nanowires AIP Advances |
author_facet |
Sergi Lendínez John E. Pearson Axel Hoffmann Valentyn Novosad M. Benjamin Jungfleisch |
author_sort |
Sergi Lendínez |
title |
Temperature-dependent collective magnetization reversal in a network of ferromagnetic nanowires |
title_short |
Temperature-dependent collective magnetization reversal in a network of ferromagnetic nanowires |
title_full |
Temperature-dependent collective magnetization reversal in a network of ferromagnetic nanowires |
title_fullStr |
Temperature-dependent collective magnetization reversal in a network of ferromagnetic nanowires |
title_full_unstemmed |
Temperature-dependent collective magnetization reversal in a network of ferromagnetic nanowires |
title_sort |
temperature-dependent collective magnetization reversal in a network of ferromagnetic nanowires |
publisher |
AIP Publishing LLC |
series |
AIP Advances |
issn |
2158-3226 |
publishDate |
2021-02-01 |
description |
The collective behavior of geometrically frustrated magnetization in connected networks of ferromagnetic nanowires, known as artificial spin ice, leads to complex magnetotransport behavior in those structures. Here, we present temperature- and current-dependent magnetotransport studies on a connected square artificial spin-ice system and correlate our observations to micromagnetic simulations. We find that the field at which the lattice magnetization collectively switches increases as the temperature is lowered. Our experimental findings highlight the importance of the global and local temperatures for the onset of a collective magnetization reversal in the connected system. These studies may also provide useful insights into novel storage concepts and applications in neuromorphic computing. |
url |
http://dx.doi.org/10.1063/9.0000170 |
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