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  4. T-matrix representation of optical scattering response: Suggestion for a data format
 
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T-matrix representation of optical scattering response: Suggestion for a data format

Citation Link: https://doi.org/10.15480/882.14324
Publikationstyp
Journal Article
Date Issued
2024-12-19
Sprache
English
Author(s)
Asadova, Nigar
Achouri, Karim
Arjas, Kristian
Auguié, Baptiste
Aydin, Roland  
Machine Learning in Virtual Materials Design M-EXK5  
Baron, Alexandre
Beutel, Dominik
Bodermann, Bernd
Boussaoud, Kaoutar
Burger, Sven
Choi, Minseok
Czajkowski, Krzysztof M.
Evlyukhin, Andrey B.  
Fazel-Najafabadi, Atefeh
Fernandez-Corbaton, Ivan
Garg, Puneet
Globosits, David
Hohenester, Ulrich
Kim, Hongyoon
Kim, Seokwoo
Lalanne, Philippe  
Le Ru, Eric C.
Meyer, Jörg
Mun, Jungho
Pattelli, Lorenzo
Pflug, Lukas
Rockstuhl, Carsten  
Rho, Junsuk
Rotter, Stefan
Stout, Brian
Törmä, Päivi
Trigo, Jorge Olmos
Tristram, Frank
Tsitsas, Nikolaos L.
Vallée, Renaud
Vynck, Kevin
Weiss, Thomas
Wiecha, Peter R.  
Wriedt, Thomas
Yannopapas, Vassilios
Yurkin, Maxim A.
Zouros, Grigorios P.
TORE-DOI
10.15480/882.14324
TORE-URI
https://tore.tuhh.de/handle/11420/53240
Journal
Journal of quantitative spectroscopy & radiative transfer  
Volume
333
Article Number
109310
Citation
Journal of Quantitative Spectroscopy and Radiative Transfer 333: 109310 (2024)
Publisher DOI
10.1016/j.jqsrt.2024.109310
Scopus ID
2-s2.0-85213056602
The transition matrix, frequently abbreviated as T-matrix, contains the complete information in a linear approximation of how a spatially localized object scatters an incident field. The T-matrix is used to study the scattering response of an isolated object and describes the optical response of complex photonic materials made from ensembles of individual objects. T-matrices of certain common structures, potentially, have been repeatedly calculated all over the world again and again. This is not necessary and constitutes a major challenge for various reasons. First, the resources spent on their computation represent an unsustainable financial and ecological burden. Second, with the onset of machine learning, data is the gold of our era, and it should be freely available to everybody to address novel scientific challenges. Finally, the possibility of reproducing simulations could tremendously improve if the considered T-matrices could be shared. To address these challenges, we found it important to agree on a common data format for T-matrices and to enable their collection from different sources and distribution. This document aims to develop the specifications for storing T-matrices and associated metadata. The specifications should allow maximum freedom to accommodate as many use cases as possible without introducing any ambiguity in the stored data. The common format will assist in setting up a public database of T-matrices.
Subjects
Data format | Data Science | Data storage and management | Multipolar representations | Scattering | T-matrix
DDC Class
530: Physics
621.3: Electrical Engineering, Electronic Engineering
006: Special computer methods
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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