Computational Methods for Coupled Problems in Science and Engineering

The ninth edition of the International Conference on Computational Methods for Coupled Problems in Science and Engineering (COUPLED PROBLEMS 2021) was organized to take place on 13–16 June 2021. Due to the pandemic, COUPLED 2021 was a fully online and completely synchronous conference. The previous...

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description The ninth edition of the International Conference on Computational Methods for Coupled Problems in Science and Engineering (COUPLED PROBLEMS 2021) was organized to take place on 13–16 June 2021. Due to the pandemic, COUPLED 2021 was a fully online and completely synchronous conference. The previous eight editions of this conference were held on the islands of Santorini (Greece) on 25-28 May 2005; Ibiza (Spain) on 21–23 May 2007; Ischia (Italy) on 8–11 June 2009; Kos (Greece) on 20–22 June 2011; Ibiza (Spain) on 17–19 June 2013; San Servolo, Venice (Italy), on 18–20 May 2015; Rhodes Island (Greece) on 12–14 June 2017; and Sitges (Spain) on 3–5 June 2019. The objectives of COUPLED PROBLEMS 2021 were to present and discuss the state of the art in mathematical models, numerical methods and computational techniques for solving coupling problems of a multidisciplinary character in science and engineering. The conference’s goal was to make advances in the formulation and solution of real-life problems with a multidisciplinary perspective, accounting for all the complex couplings involved in the physical description of the problem. The conference was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS) and a Special Interest Conference of the International Association for Computational Mechanics (IACM). It was also supported by other scientific organizations in Europe and across the globe.
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publisherStr MDPI - Multidisciplinary Digital Publishing Institute
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spelling doab-20.500.12854ir-1392722024-07-04T09:34:51Z Computational Methods for Coupled Problems in Science and Engineering Perotto, Simona Rozza, Gianluigi Larese, Antonia order-preserving mapping OP-Mapped WENO hyperbolic conservation laws boundary integral equations layer potential identities density subtractions quadrature rules topology optimization cellular materials multi-physics homogenization anisotropic mesh adaptation regridding remapping interpolation Earth system modelling code coupling coupler coupling library coupled models ocean-atmosphere general circulation models astrocytes neural–glial coupled dynamics Alzheimer’s disease multiple scales data assimilation data-driven dynamic environments biologic TNF-? inhibitors neuroinflammation AD drug development biomarkers deep autoencoder advection-dominated flows physics informed machine learning LSTM parametric model order reduction non-intrusive reduced order modeling musculoskeletal model infant movement biomechanics motion capture OpenSim non-convex multi-objective optimization partial differential equations Pascoletti-Serafini method augmented Lagrangian reduced basis method trust-region strategy fluid-structure interaction quasi-Newton multiphysics coupling cerebral hemodynamics aneurysm rupture artery CFD thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UY Computer science The ninth edition of the International Conference on Computational Methods for Coupled Problems in Science and Engineering (COUPLED PROBLEMS 2021) was organized to take place on 13–16 June 2021. Due to the pandemic, COUPLED 2021 was a fully online and completely synchronous conference. The previous eight editions of this conference were held on the islands of Santorini (Greece) on 25-28 May 2005; Ibiza (Spain) on 21–23 May 2007; Ischia (Italy) on 8–11 June 2009; Kos (Greece) on 20–22 June 2011; Ibiza (Spain) on 17–19 June 2013; San Servolo, Venice (Italy), on 18–20 May 2015; Rhodes Island (Greece) on 12–14 June 2017; and Sitges (Spain) on 3–5 June 2019. The objectives of COUPLED PROBLEMS 2021 were to present and discuss the state of the art in mathematical models, numerical methods and computational techniques for solving coupling problems of a multidisciplinary character in science and engineering. The conference’s goal was to make advances in the formulation and solution of real-life problems with a multidisciplinary perspective, accounting for all the complex couplings involved in the physical description of the problem. The conference was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS) and a Special Interest Conference of the International Association for Computational Mechanics (IACM). It was also supported by other scientific organizations in Europe and across the globe. 2024-07-04T09:34:47Z 2024-07-04T09:34:47Z 2024 book ONIX_20240704_9783725811373_68 9783725811373 9783725811380 https://directory.doabooks.org/handle/20.500.12854/139272 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9268 https://mdpi.com/books/pdfview/book/9268 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1138-0 10.3390/books978-3-7258-1138-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725811373 9783725811380 238 open access
spellingShingle order-preserving mapping
OP-Mapped WENO
hyperbolic conservation laws
boundary integral equations
layer potential identities
density subtractions
quadrature rules
topology optimization
cellular materials
multi-physics
homogenization
anisotropic mesh adaptation
regridding
remapping
interpolation
Earth system modelling
code coupling
coupler
coupling library
coupled models
ocean-atmosphere general circulation models
astrocytes
neural–glial coupled dynamics
Alzheimer’s disease
multiple scales
data assimilation
data-driven dynamic environments
biologic TNF-? inhibitors
neuroinflammation
AD drug development
biomarkers
deep autoencoder
advection-dominated flows
physics informed machine learning
LSTM
parametric model order reduction
non-intrusive reduced order modeling
musculoskeletal model
infant movement
biomechanics
motion capture
OpenSim
non-convex multi-objective optimization
partial differential equations
Pascoletti-Serafini method
augmented Lagrangian
reduced basis method
trust-region strategy
fluid-structure interaction
quasi-Newton
multiphysics coupling
cerebral
hemodynamics
aneurysm
rupture
artery
CFD
thema EDItEUR::U Computing and Information Technology
thema EDItEUR::U Computing and Information Technology::UY Computer science
Computational Methods for Coupled Problems in Science and Engineering
title Computational Methods for Coupled Problems in Science and Engineering
title_full Computational Methods for Coupled Problems in Science and Engineering
title_fullStr Computational Methods for Coupled Problems in Science and Engineering
title_full_unstemmed Computational Methods for Coupled Problems in Science and Engineering
title_short Computational Methods for Coupled Problems in Science and Engineering
title_sort computational methods for coupled problems in science and engineering
topic order-preserving mapping
OP-Mapped WENO
hyperbolic conservation laws
boundary integral equations
layer potential identities
density subtractions
quadrature rules
topology optimization
cellular materials
multi-physics
homogenization
anisotropic mesh adaptation
regridding
remapping
interpolation
Earth system modelling
code coupling
coupler
coupling library
coupled models
ocean-atmosphere general circulation models
astrocytes
neural–glial coupled dynamics
Alzheimer’s disease
multiple scales
data assimilation
data-driven dynamic environments
biologic TNF-? inhibitors
neuroinflammation
AD drug development
biomarkers
deep autoencoder
advection-dominated flows
physics informed machine learning
LSTM
parametric model order reduction
non-intrusive reduced order modeling
musculoskeletal model
infant movement
biomechanics
motion capture
OpenSim
non-convex multi-objective optimization
partial differential equations
Pascoletti-Serafini method
augmented Lagrangian
reduced basis method
trust-region strategy
fluid-structure interaction
quasi-Newton
multiphysics coupling
cerebral
hemodynamics
aneurysm
rupture
artery
CFD
thema EDItEUR::U Computing and Information Technology
thema EDItEUR::U Computing and Information Technology::UY Computer science
topic_facet order-preserving mapping
OP-Mapped WENO
hyperbolic conservation laws
boundary integral equations
layer potential identities
density subtractions
quadrature rules
topology optimization
cellular materials
multi-physics
homogenization
anisotropic mesh adaptation
regridding
remapping
interpolation
Earth system modelling
code coupling
coupler
coupling library
coupled models
ocean-atmosphere general circulation models
astrocytes
neural–glial coupled dynamics
Alzheimer’s disease
multiple scales
data assimilation
data-driven dynamic environments
biologic TNF-? inhibitors
neuroinflammation
AD drug development
biomarkers
deep autoencoder
advection-dominated flows
physics informed machine learning
LSTM
parametric model order reduction
non-intrusive reduced order modeling
musculoskeletal model
infant movement
biomechanics
motion capture
OpenSim
non-convex multi-objective optimization
partial differential equations
Pascoletti-Serafini method
augmented Lagrangian
reduced basis method
trust-region strategy
fluid-structure interaction
quasi-Newton
multiphysics coupling
cerebral
hemodynamics
aneurysm
rupture
artery
CFD
thema EDItEUR::U Computing and Information Technology
thema EDItEUR::U Computing and Information Technology::UY Computer science
url ONIX_20240704_9783725811373_68