Li, Y., Gubbiotti, G., Casoli, F., Morley, S.A., Gonçalves, F.J.T., Rosamond, M.c., Linfield, E.H., Marrows, C.H., McVitie, S. and Stamps, R.L. (2017) Thickness dependence of spin wave excitations in an artificial square spin ice-like geometry. Journal of Applied Physics, 121(10), 103903. (doi: 10.1063/1.4978315)
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Abstract
We present a comparative study of the spin wave properties in two magnetic films patterned into an artificial square spin ice-like geometry. The array elements are rectangular islands with the same lateral dimensions but with different thicknesses: 10 nm and 30 nm. Using Brillouin light scattering, the frequencies of spin wave excitations were measured as a function of the magnetic field going from positive to negative saturation. We find substantial changes with thickness to spin wave mode frequencies and the number of detected modes. Frequencies of spin waves localized at element edges are observed to evolve non-monotonically with magnetic fields and soften at critical fields. These critical fields enable us to extract information of the magnetization reversal of individual islands within the array. Finally, we discuss the effects of separation between islands and examine the possibilities for dynamic coupling through the overlap of collective edge modes.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | McVitie, Professor Stephen and Stamps, Professor Robert |
Authors: | Li, Y., Gubbiotti, G., Casoli, F., Morley, S.A., Gonçalves, F.J.T., Rosamond, M.c., Linfield, E.H., Marrows, C.H., McVitie, S., and Stamps, R.L. |
College/School: | College of Science and Engineering > School of Physics and Astronomy |
Journal Name: | Journal of Applied Physics |
Publisher: | American Institute of Physics |
ISSN: | 0021-8979 |
ISSN (Online): | 1089-7550 |
Published Online: | 10 March 2017 |
Copyright Holders: | Copyright © 2017 The Authors |
First Published: | First published in Journal of Applied Physics 121: 103903 |
Publisher Policy: | Reproduced under a creative commons license |
Data DOI: | 10.5525/gla.researchdata.391 |
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