Publication: Magneto-dielectric composites characterization using resonant sensor and neural network modeling
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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
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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.
Keywords
Artificial neural networks (ANNs), Microwave characterization, PDMS-Fe3O4 composite
Department
Ingeniería Eléctrica, Electrónica y de Comunicación / Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza
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© 2024 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License.
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