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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Macías, D., Luna, A., Skigin, D., Inchaussandague, M., Vial, A., Schinca, D.
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