Magneto-Dielectric Composites Characterization Using Resonant Sensor and Neural Network Modeling-Reference-Cited by-同舟云学术

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

Published:2024-04 Issue:4 Volume:34 Page:447-450
ISSN:2771-9588
Container-title:IEEE Microwave and Wireless Technology Letters
language:
Short-container-title:IEEE Microw. Wireless Tech. Lett.

Author:

Álvarez-Botero Germán¹^ORCID,Lobato-Morales Humberto²^ORCID,Hui Katherine³,Tarabay Naji³,Sanchez-Vargas Jeu²,Velez Camilo³^ORCID,Méndez-Jerónimo Gabriela²^ORCID

Affiliation:

1. Department of Electrical, Electronic and Communications Engineering, Public University of Navarre, Pamplona, Spain

2. CICESE, Ensenada, Mexico

3. Mechanical and Aerospace Engineering Department, Magnetic Microsystems and Microrobotics Laboratory, University of California, Irvine, Irvine, CA, USA

Funder

Samueli School of Engineering, University of California, Irvine

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9944983/10495307/10422837.pdf?arnumber=10422837

Reference26 articles.

1. Magnetodielectric Materials in Antenna Design: Exploring the Potentials for Reconfigurability

2. Miniaturized 5G Antenna With Enhanced Gain by Using Stacked Structure of Split-Ring Resonator Array and Magneto-Dielectric Composite Material

3. Electromagnetic analysis of tunable bandpass filters with a magnetodielectric perturber

4. VSIE-Based Scattering Parameter Analysis for a Tunable Bandpass Filter With a PET-Controlled Magnetodielectric Perturber

5. The design of ferrite film phase shifter

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