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THE MULTISCALE HYBRID-MIXED METHOD FOR THE MAXWELL EQUATIONS IN HETEROGENEOUS MEDIA
Indexado
WoS WOS:000453753300008
Scopus SCOPUS_ID:85058208481
DOI 10.1137/16M110037X
Año 2018
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



In this work, we address time dependent wave propagation problems with strong multiscale features (in space and time). Our goal is to design a family of innovative high performance numerical methods suitable to the simulation of such multiscale problems. Particularly, we extend the multiscale hybrid-mixed (MHM) finite element method for the two- and three-dimensional time-dependent Maxwell equations with heterogeneous coefficients. The MHM method arises from the decomposition of the exact electric and magnetic fields in terms of the solutions of locally independent Maxwell problems tied together with a one-field formulation on top of a coarse-mesh skeleton. The multiscale basis functions, which are responsible for upscaling, are driven by local Maxwell problems with tangential component of the magnetic field prescribed on faces. A high-order discontinuous Galerkin method in space combined with a second-order explicit leap-frog scheme in time discretizes the local problems. This makes the MHM method effective and yields a staggered algorithm within a "divide-and-conquer" framework. Several two-dimensional numerical tests assess the optimal convergence of the MHM method and its capacity to preserve the energy principle, as well as its accuracy to solve heterogeneous media problems on coarse meshes.

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Disciplinas de Investigación



WOS
Mathematics, Interdisciplinary Applications
Physics, Mathematical
Scopus
Computer Science Applications
Chemistry (All)
Modeling And Simulation
Ecological Modeling
Physics And Astronomy (All)
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Lanteri, Stephane - INRIA Sophia Antipolis Mediterranee - Francia
INRIA Sophia Antipolis - Francia
Centre Inria Sophia Antipolis - Méditerranée - Francia
2 Paredes, Diego Hombre Pontificia Universidad Católica de Valparaíso - Chile
3 Scheid, Claire Mujer INRIA Sophia Antipolis Mediterranee - Francia
Univ Nice Sophia Antipolis - Francia
INRIA Sophia Antipolis - Francia
Université Nice Sophia Antipolis - Francia
Université Côte d'Azur - Francia
Centre Inria Sophia Antipolis - Méditerranée - Francia
4 Valentin, Frederic Hombre LNCC Natl Lab Sci Comp - Brasil
Laboratorio Nacional de Computacao Cientifica, Petropolis - Brasil

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Origen de Citas Identificadas



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Citas identificadas: Las citas provienen de documentos incluidos en la base de datos de DATACIENCIA

Citas Identificadas: 9.09 %
Citas No-identificadas: 90.91 %

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Citas identificadas: Las citas provienen de documentos incluidos en la base de datos de DATACIENCIA

Citas Identificadas: 9.09 %
Citas No-identificadas: 90.91 %

Financiamiento



Fuente
CNPq/Brazil
Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica
Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica
Horizon 2020 Framework Programme
CONICYT/CHILE
Brazilian Ministry of Science, Technology and Innovation
CAPES/Brazil
European Union's Horizon 2020 Programme (2014-2020)
INRIA/France
Brazilian Ministry of Science, Technology and Innovation through Rede Nacional de Pesquisa (RNP) under the HPC4E project
CONICYT/Chile through FONDECYT project
H2020 - Industrial Leadership

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Agradecimientos



Agradecimiento
The research leading to these results has received funding from the European Union's Horizon 2020 Programme (2014-2020) and from the Brazilian Ministry of Science, Technology and Innovation through Rede Nacional de Pesquisa (RNP) under the HPC4E project (www.hpc4e.eu), grant agreement 689772. The second author was funded by CONICYT/Chile through FONDECYT project 1181572 and CNPq/Brazil. The fourth author was funded by CNPq/Brazil, CAPES/Brazil, and INRIA/France.
∗Received by the editors October 24, 2016; accepted for publication (in revised form) June 18, 2018; published electronically October 25, 2018. http://www.siam.org/journals/mms/16-4/M110037.html Funding: The research leading to these results has received funding from the European Union’s Horizon 2020 Programme (2014–2020) and from the Brazilian Ministry of Science, Technology and Innovation through Rede Nacional de Pesquisa (RNP) under the HPC4E project (www.hpc4e.eu), grant agreement 689772. The second author was funded by CONICYT/Chile through FONDECYT project 1181572 and CNPq/Brazil. The fourth author was funded by CNPq/Brazil, CAPES/Brazil, and INRIA/France. †NACHOS Project-Team, INRIA Sophia Antipolis-Mediterranée, France (stephane.lanteri@ inria.fr). ‡Instituto de Matemáticas, Pontificia Universidad Católica de Valparaíso, Blanco Viel 596, Cerro Barón, Valparaíso, Chile (diego.paredes@pucv.cl). §NACHOS Project-Team, INRIA Sophia Antipolis–Mediterranée, France, and LJAD, University of Nice Sophia Antipolis, France (claire.scheid@inria.fr). ¶Computational and Applied Mathematics Department, LNCC–National Laboratory for Scientific Computing, Av. Getúlio Vargas, 333, 25651-070 Petrópolis RJ, Brazil (valentin@lncc.br).

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