Magneto-Dielectric Composites Characterization Using Resonant Sensor and Neural Network Modeling

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Abstract

This article presents a novel way to estimate magnetodielectric composites complex permittivity (e) and permeability (μ ). A methodology based on artificial neural network (ANN) modeling is proposed to determine e and μ from Sparameter measurements around 2.45 GHz, obtained using a new microstrip split ring resonator (SRR)-based resonant sensor.

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Alvarez-Botero, G., Lobato-Morales, H., Hui, K., Tarabay, N., Sanchez-Vargas, J., Velez, C., & Mendez-Jeronimo, G. (2024). Magneto-Dielectric Composites Characterization Using Resonant Sensor and Neural Network Modeling. IEEE Microwave and Wireless Technology Letters, 34(4), 447–450. https://doi.org/10.1109/LMWT.2024.3356418

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