Journal article
Complex permeability extraction of FeCo nanoparticles using annular ring resonator and its RF applications
Journal of the Franklin Institute, v 354(18), pp 8758-8771
01 Dec 2017
Abstract
Reconfigurable and tunable antennas/filters are of interest in various radio frequency (RF) applications. This paper addresses use of FeCo soft magnetic nanoparticles for magnetically tuned and reconfigured resonators, filters, and antennas. The RF component designs considered are based on annular ring resonator structures with a composite substrate of 30 nm cubic magnetic Fe60Co40 nanoparticles deposited on an FR4 substrate. Accurate permeability extraction of Fe60Co40 is performed for a ring resonator at 3.0 GHz with and without external magnetic field biases. Complex permeability extraction procedure is based on best fitting of simulated scattering parameters using finite element method (FEM) electromagnetic field simulator to the measurement results of the composite substrate. The extracted results of soft magnetic permeability are used along with an external magnetic field to develop tunable filter and antenna components for wireless applications. (C) 2017 Published by Elsevier Ltd on behalf of The Franklin Institute.
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Details
- Title
- Complex permeability extraction of FeCo nanoparticles using annular ring resonator and its RF applications
- Creators
- Yaaqoub Malallah - Drexel UniversityAntarpreet Singh - Drexel UniversitySampada Deshmukh - Drexel UniversityChins Chinnasamy - Electron Energy CorporationMelania Marinescu - Electron Energy CorporationAfshin S. Daryoush - Drexel University
- Publication Details
- Journal of the Franklin Institute, v 354(18), pp 8758-8771
- Publisher
- Elsevier
- Number of pages
- 14
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000417001200040
- Scopus ID
- 2-s2.0-85018290261
- Other Identifier
- 991019168248004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Automation & Control Systems
- Engineering, Electrical & Electronic
- Engineering, Multidisciplinary
- Mathematics, Interdisciplinary Applications