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Local characterization of ferromagnetic resonance in bulk and patterned magnetic materials using scanning microwave microscopy
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Joseph, Christopher Hardly, Gramse, Georg, Proietti, Emanuela, Sardi, Giovanni Maria, Morley, Gavin, Kienberger, Ferry, Bartolucci, Giancarlo and Marcelli, Romolo (2022) Local characterization of ferromagnetic resonance in bulk and patterned magnetic materials using scanning microwave microscopy. IEEE Transactions on Instrumentation and Measurement, 71 . pp. 1-11. doi:10.1109/TIM.2022.3142760 ISSN 0018-9456.
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WRAP-Local-characterization-ferromagnetic-resonance-bulk-magnetic-microwave-microscopy-2021.pdf - Accepted Version - Requires a PDF viewer. Download (18Mb) | Preview |
Official URL: http://dx.doi.org/10.1109/TIM.2022.3142760
Abstract
We have demonstrated the capabilities of the scanning microwave microscopy (SMM) technique for measuring ferromagnetic resonance (FMR) spectra in nanometric areas of magnetic samples. The technique is evaluated using three different samples, including a yttrium iron garnet (YIG) polycrystalline bulk sample and a thick YIG film grown by liquid phase epitaxy (LPE). Patterned permalloy (Py) micromagnetic dots have been characterized to assess the performance for imaging applications of the technique, measuring the variation of the magnetic properties of the sample along its surface. The proposed technique may pave the way for the development of high spatially resolved mapping of magnetostatic modes in different nanomagnetic and micromagnetic structures.
Item Type: | Journal Article | |||||||||
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Subjects: | Q Science > QC Physics | |||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Physics | |||||||||
Library of Congress Subject Headings (LCSH): | Ferromagnetism, Scanning probe microscopy, Yttrium iron garnet | |||||||||
Journal or Publication Title: | IEEE Transactions on Instrumentation and Measurement | |||||||||
Publisher: | IEEE | |||||||||
ISSN: | 0018-9456 | |||||||||
Official Date: | 13 January 2022 | |||||||||
Dates: |
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Volume: | 71 | |||||||||
Page Range: | pp. 1-11 | |||||||||
DOI: | 10.1109/TIM.2022.3142760 | |||||||||
Status: | Peer Reviewed | |||||||||
Publication Status: | Published | |||||||||
Reuse Statement (publisher, data, author rights): | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |||||||||
Access rights to Published version: | Restricted or Subscription Access | |||||||||
Date of first compliant deposit: | 17 March 2022 | |||||||||
Date of first compliant Open Access: | 17 March 2022 | |||||||||
RIOXX Funder/Project Grant: |
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