Publication: Magneto-dielectric composites characterization using resonant sensor and neural network modeling
Date
2024
Authors
Lobato-Morales, Humberto
Hui, Katherine
Tarabay, Naji
Sánchez-Vargas, Jeu
Vélez, Camilo
Méndez-Jerónimo, Gabriela
Director
Publisher
IEEE
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa
Project identifier
Abstract
This article presents a novel way to estimate magnetodielectric composites’ complex permittivity (ε) and permeability (µ). A methodology based on artificial neural network (ANN) modeling is proposed to determine ε and µ from S-parameter measurements around 2.45 GHz, obtained using a new microstrip split ring resonator (SRR)-based resonant sensor.
Description
Keywords
Artificial neural networks (ANNs), Microwave characterization, PDMS-Fe3O4 composite
Department
Ingeniería Eléctrica, Electrónica y de Comunicación / Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza
Faculty/School
Degree
Doctorate program
item.page.cita
Álvarez-Botero, G., Lobato-Morales, H., Hui, K., Tarabay, N., Sanchez-Vargas, J., Velez, C., Méndez-Jerónimo, G. (2024) Magneto-dielectric composites characterization using resonant sensor and neural network modeling. IEEE Microwave and Wireless Components Letters, 34(4), 447-450. https://doi.org/10.1109/LMWT.2024.3356418.
item.page.rights
© 2024 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License.
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