Retrieval of relevant parameters of natural multilayer systems by means of bio-inspired optimization strategies
Natural photonic structures exhibit remarkable color effects such as metallic appearance and iridescence. A rigorous study of the electromagnetic response of such complex structures requires to accurately determine some of their relevant optical parameters, such as the refractive indices of the mate...
Guardado en:
Autores principales: | , , , , , |
---|---|
Formato: | JOUR |
Materias: | |
Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_1559128X_v52_n11_p2511_Macias |
Aporte de: |
id |
todo:paper_1559128X_v52_n11_p2511_Macias |
---|---|
record_format |
dspace |
spelling |
todo:paper_1559128X_v52_n11_p2511_Macias2023-10-03T16:26:08Z Retrieval of relevant parameters of natural multilayer systems by means of bio-inspired optimization strategies Macías, D. Luna, A. Skigin, D. Inchaussandague, M. Vial, A. Schinca, D. Multilayers Optimization Bio-inspired optimizations Electromagnetic response Heuristic optimization Inversion methods Natural multilayers Optical parameter Photonic structure Real and imaginary Refractive index biomimetic material biomimetic material article biological model chemical model chemistry computer simulation chemistry Biomimetic Materials Computer Simulation Models, Biological Models, Chemical Biomimetic Materials Computer Simulation Models, Biological Models, Chemical Natural photonic structures exhibit remarkable color effects such as metallic appearance and iridescence. A rigorous study of the electromagnetic response of such complex structures requires to accurately determine some of their relevant optical parameters, such as the refractive indices of the materials involved. In this paper, we apply different heuristic optimization strategies to retrieve the real and imaginary parts of the refractive index of the materials comprising natural multilayer systems. Through some examples, we compare the performances of the inversion methods proposed and show that these kinds of algorithms have a great potential as a tool to investigate natural photonic structures. © 2013 Optical Society of America. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_1559128X_v52_n11_p2511_Macias |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Multilayers Optimization Bio-inspired optimizations Electromagnetic response Heuristic optimization Inversion methods Natural multilayers Optical parameter Photonic structure Real and imaginary Refractive index biomimetic material biomimetic material article biological model chemical model chemistry computer simulation chemistry Biomimetic Materials Computer Simulation Models, Biological Models, Chemical Biomimetic Materials Computer Simulation Models, Biological Models, Chemical |
spellingShingle |
Multilayers Optimization Bio-inspired optimizations Electromagnetic response Heuristic optimization Inversion methods Natural multilayers Optical parameter Photonic structure Real and imaginary Refractive index biomimetic material biomimetic material article biological model chemical model chemistry computer simulation chemistry Biomimetic Materials Computer Simulation Models, Biological Models, Chemical Biomimetic Materials Computer Simulation Models, Biological Models, Chemical Macías, D. Luna, A. Skigin, D. Inchaussandague, M. Vial, A. Schinca, D. Retrieval of relevant parameters of natural multilayer systems by means of bio-inspired optimization strategies |
topic_facet |
Multilayers Optimization Bio-inspired optimizations Electromagnetic response Heuristic optimization Inversion methods Natural multilayers Optical parameter Photonic structure Real and imaginary Refractive index biomimetic material biomimetic material article biological model chemical model chemistry computer simulation chemistry Biomimetic Materials Computer Simulation Models, Biological Models, Chemical Biomimetic Materials Computer Simulation Models, Biological Models, Chemical |
description |
Natural photonic structures exhibit remarkable color effects such as metallic appearance and iridescence. A rigorous study of the electromagnetic response of such complex structures requires to accurately determine some of their relevant optical parameters, such as the refractive indices of the materials involved. In this paper, we apply different heuristic optimization strategies to retrieve the real and imaginary parts of the refractive index of the materials comprising natural multilayer systems. Through some examples, we compare the performances of the inversion methods proposed and show that these kinds of algorithms have a great potential as a tool to investigate natural photonic structures. © 2013 Optical Society of America. |
format |
JOUR |
author |
Macías, D. Luna, A. Skigin, D. Inchaussandague, M. Vial, A. Schinca, D. |
author_facet |
Macías, D. Luna, A. Skigin, D. Inchaussandague, M. Vial, A. Schinca, D. |
author_sort |
Macías, D. |
title |
Retrieval of relevant parameters of natural multilayer systems by means of bio-inspired optimization strategies |
title_short |
Retrieval of relevant parameters of natural multilayer systems by means of bio-inspired optimization strategies |
title_full |
Retrieval of relevant parameters of natural multilayer systems by means of bio-inspired optimization strategies |
title_fullStr |
Retrieval of relevant parameters of natural multilayer systems by means of bio-inspired optimization strategies |
title_full_unstemmed |
Retrieval of relevant parameters of natural multilayer systems by means of bio-inspired optimization strategies |
title_sort |
retrieval of relevant parameters of natural multilayer systems by means of bio-inspired optimization strategies |
url |
http://hdl.handle.net/20.500.12110/paper_1559128X_v52_n11_p2511_Macias |
work_keys_str_mv |
AT maciasd retrievalofrelevantparametersofnaturalmultilayersystemsbymeansofbioinspiredoptimizationstrategies AT lunaa retrievalofrelevantparametersofnaturalmultilayersystemsbymeansofbioinspiredoptimizationstrategies AT skigind retrievalofrelevantparametersofnaturalmultilayersystemsbymeansofbioinspiredoptimizationstrategies AT inchaussandaguem retrievalofrelevantparametersofnaturalmultilayersystemsbymeansofbioinspiredoptimizationstrategies AT viala retrievalofrelevantparametersofnaturalmultilayersystemsbymeansofbioinspiredoptimizationstrategies AT schincad retrievalofrelevantparametersofnaturalmultilayersystemsbymeansofbioinspiredoptimizationstrategies |
_version_ |
1782027002435338240 |