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Fast and Accurate Prediction of Light Scattering from Plasmonic Nanoarrays in Multiple Directions

The method of moments (MoM) is an efficient electromagnetic numerical method for the accurate prediction of light scattering from plasmonic nanostructures. In practice, the light-scattering properties in different incident directions are often concerning. However, traditional MoM generally resorts t...

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Detalles Bibliográficos
Autores principales: Wan, Ting, Chen, Tianhao, Bao, Yang, Wang, Shiyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028842/
https://www.ncbi.nlm.nih.gov/pubmed/35457917
http://dx.doi.org/10.3390/mi13040613
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author Wan, Ting
Chen, Tianhao
Bao, Yang
Wang, Shiyi
author_facet Wan, Ting
Chen, Tianhao
Bao, Yang
Wang, Shiyi
author_sort Wan, Ting
collection PubMed
description The method of moments (MoM) is an efficient electromagnetic numerical method for the accurate prediction of light scattering from plasmonic nanostructures. In practice, the light-scattering properties in different incident directions are often concerning. However, traditional MoM generally resorts to the iterative method, which suffers from the problems of convergence rate and redundant computations for multiple incident excitations. Nanoarray structures will further aggravate these problems due to a large number of unknowns. In this article, an efficient numerical method based on MoM and a hierarchical matrix (H-matrix) algorithm is proposed to solve these problems. Numerical experiments demonstrate the efficiency and accuracy of the proposed method for the prediction of light scattering from plasmonic nanoarrays in multiple directions.
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spelling pubmed-90288422022-04-23 Fast and Accurate Prediction of Light Scattering from Plasmonic Nanoarrays in Multiple Directions Wan, Ting Chen, Tianhao Bao, Yang Wang, Shiyi Micromachines (Basel) Article The method of moments (MoM) is an efficient electromagnetic numerical method for the accurate prediction of light scattering from plasmonic nanostructures. In practice, the light-scattering properties in different incident directions are often concerning. However, traditional MoM generally resorts to the iterative method, which suffers from the problems of convergence rate and redundant computations for multiple incident excitations. Nanoarray structures will further aggravate these problems due to a large number of unknowns. In this article, an efficient numerical method based on MoM and a hierarchical matrix (H-matrix) algorithm is proposed to solve these problems. Numerical experiments demonstrate the efficiency and accuracy of the proposed method for the prediction of light scattering from plasmonic nanoarrays in multiple directions. MDPI 2022-04-14 /pmc/articles/PMC9028842/ /pubmed/35457917 http://dx.doi.org/10.3390/mi13040613 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wan, Ting
Chen, Tianhao
Bao, Yang
Wang, Shiyi
Fast and Accurate Prediction of Light Scattering from Plasmonic Nanoarrays in Multiple Directions
title Fast and Accurate Prediction of Light Scattering from Plasmonic Nanoarrays in Multiple Directions
title_full Fast and Accurate Prediction of Light Scattering from Plasmonic Nanoarrays in Multiple Directions
title_fullStr Fast and Accurate Prediction of Light Scattering from Plasmonic Nanoarrays in Multiple Directions
title_full_unstemmed Fast and Accurate Prediction of Light Scattering from Plasmonic Nanoarrays in Multiple Directions
title_short Fast and Accurate Prediction of Light Scattering from Plasmonic Nanoarrays in Multiple Directions
title_sort fast and accurate prediction of light scattering from plasmonic nanoarrays in multiple directions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028842/
https://www.ncbi.nlm.nih.gov/pubmed/35457917
http://dx.doi.org/10.3390/mi13040613
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