A numerical approach on the verification of parameter retrieval techniques for composite periodic electromagnetic media

A new technique is proposed for the confirmation of the accuracy of effective parameter retrieval techniques for composite periodic electromagnetic media. The retrieved effective parameters are inserted into the analytical relations of wave propagation in a complex homogeneous medium and a reconstructed dispersion diagram is formed. This diagram is then compared to the original dispersion diagram returned by the eigenvalue analysis of the composite inhomogeneous structure and the discrepancies between them are determined.

Authors

Institutions

Publication Details

Published
2024-09-09
DOI
https://doi.org/10.1109/metamaterials62190.2024.10703268
Primary Topic
Electromagnetic Scattering and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A numerical approach on the verification of parameter retrieval techniques for composite periodic electromagnetic media

Maria Kafesaki, Samel Arslanagić, Michalis Nitas
Electromagnetic Scattering and Analysis
article

A numerical approach on the verification of parameter retrieval techniques for composite periodic electromagnetic media

Maria Kafesaki, Samel Arslanagić, Michalis Nitas
article en

Abstract

A new technique is proposed for the confirmation of the accuracy of effective parameter retrieval techniques for composite periodic electromagnetic media. The retrieved effective parameters are inserted into the analytical relations of wave propagation in a complex homogeneous medium and a reconstructed dispersion diagram is formed. This diagram is then compared to the original dispersion diagram returned by the eigenvalue analysis of the composite inhomogeneous structure and the discrepancies between them are determined.

Foundation for Research and Technology Hellas (GR), Technical University of Denmark (DK)
Openalex Percentile: Top 84%
Electromagnetic Scattering and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.