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Simone Deparis
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2020 – today
- 2024
- [j23]Riccardo Tenderini
, Nicholas Mueller
Space-Time Reduced Basis Methods for Parametrized Unsteady Stokes Equations. SIAM J. Sci. Comput. 46(1): 1- (2024) - 2023
- [j22]Felipe Rocha
DeepBND: A machine learning approach to enhance multiscale solid mechanics. J. Comput. Phys. 479: 111996 (2023) - [c1]Riccardo Tenderini
Can Knowledge Transfer Techniques Compensate for the Limited Myocardial Infarction Data by Leveraging Hæmodynamics? An in silico Study. AIME 2023: 218-228 - 2022
- [j21]Yannis Voet
The INTERNODES method for applications in contact mechanics and dedicated preconditioning techniques. Comput. Math. Appl. 127: 48-64 (2022) - [j20]Riccardo Tenderini
PDE-Aware Deep Learning for Inverse Problems in Cardiac Electrophysiology. SIAM J. Sci. Comput. 44(3): 605- (2022) - [i5]Riccardo Tenderini, Nicholas Mueller, Simone Deparis
Space-time reduced basis methods for parametrized unsteady Stokes equations. CoRR abs/2206.12198 (2022) - 2021
- [i4]Felipe Rocha, Simone Deparis, Pablo Antolin, Annalisa Buffa:
DeepBND: a Machine Learning approach to enhance Multiscale Solid Mechanics. CoRR abs/2110.11141 (2021) - 2020
- [j19]Niccolò Dal Santo, Simone Deparis
Data driven approximation of parametrized PDEs by reduced basis and neural networks. J. Comput. Phys. 416: 109550 (2020) - [i3]Luca Pegolotti, Martin R. Pfaller, Alison L. Marsden, Simone Deparis:
Model order reduction of flow based on a modular geometrical approximation of blood vessels. CoRR abs/2010.00285 (2020)
2010 – 2019
- 2019
- [j18]Niccolò Dal Santo, Simone Deparis
Multi space reduced basis preconditioners for parametrized Stokes equations. Comput. Math. Appl. 77(6): 1583-1604 (2019) - [i2]Niccolò Dal Santo, Simone Deparis, Luca Pegolotti:
Data driven approximation of parametrized PDEs by Reduced Basis and Neural Networks. CoRR abs/1904.01514 (2019) - 2018
- [j17]Claudia Maria Colciago, Simone Deparis
Reduced Numerical Approximation of Reduced Fluid-Structure Interaction Problems With Applications in Hemodynamics. Frontiers Appl. Math. Stat. 4: 18 (2018) - [j16]Niccolò Dal Santo, Simone Deparis
Multi Space Reduced Basis Preconditioners for Large-Scale Parametrized PDEs. SIAM J. Sci. Comput. 40(2) (2018) - [i1]Simone Deparis, Luca Pegolotti:
Coupling non-conforming discretizations of PDEs by spectral approximation of the Lagrange multiplier space. CoRR abs/1802.07601 (2018) - 2017
- [j15]Davide Forti, Martina Bukac, Annalisa Quaini
A Monolithic Approach to Fluid-Composite Structure Interaction. J. Sci. Comput. 72(1): 396-421 (2017) - 2016
- [j14]Simone Deparis
FaCSI: A block parallel preconditioner for fluid-structure interaction in hemodynamics. J. Comput. Phys. 327: 700-718 (2016) - [j13]Radu Popescu
Parallel subdomain solver strategies for the algebraic additive Schwarz preconditioner. Parallel Comput. 57: 137-153 (2016) - [j12]Jack Lee
Multiphysics Computational Modeling in CHeart. SIAM J. Sci. Comput. 38(3) (2016) - 2015
- [e1]Assyr Abdulle, Simone Deparis
Numerical Mathematics and Advanced Applications - ENUMATH 2013 - Proceedings of ENUMATH 2013, the 10th European Conference on Numerical Mathematics and Advanced Applications, Lausanne, Switzerland, August 2013. Lecture Notes in Computational Science and Engineering 103, Springer 2015, ISBN 978-3-319-10704-2 [contents] - 2014
- [j11]Claudia Maria Colciago, Simone Deparis
Comparisons between reduced order models and full 3D models for fluid-structure interaction problems in haemodynamics. J. Comput. Appl. Math. 265: 120-138 (2014) - [j10]Simone Deparis
A Rescaled Localized Radial Basis Function Interpolation on Non-Cartesian and Nonconforming Grids. SIAM J. Sci. Comput. 36(6) (2014) - 2013
- [j9]Pablo J. Blanco
On the continuity of mean total normal stress in geometrical multiscale cardiovascular problems. J. Comput. Phys. 251: 136-155 (2013) - [j8]A. Cristiano I. Malossi
Implicit Coupling of One-Dimensional and Three-Dimensional Blood Flow Models with Compliant Vessels. Multiscale Model. Simul. 11(2): 474-506 (2013) - 2012
- [j7]Simone Deparis
Stabilized Reduced Basis Approximation of Incompressible Three-Dimensional Navier-Stokes Equations in Parametrized Deformed Domains. J. Sci. Comput. 50(1): 198-212 (2012) - 2011
- [j6]Paolo Crosetto, Simone Deparis
Parallel Algorithms for Fluid-Structure Interaction Problems in Haemodynamics. SIAM J. Sci. Comput. 33(4): 1598-1622 (2011)
2000 – 2009
- 2009
- [j5]Simone Deparis
Reduced basis method for multi-parameter-dependent steady Navier-Stokes equations: Applications to natural convection in a cavity. J. Comput. Phys. 228(12): 4359-4378 (2009) - 2008
- [j4]Simone Deparis
Reduced Basis Error Bound Computation of Parameter-Dependent Navier-Stokes Equations by the Natural Norm Approach. SIAM J. Numer. Anal. 46(4): 2039-2067 (2008) - 2006
- [j3]Sugata Sen, Karen Veroy
"Natural norm" a posteriori error estimators for reduced basis approximations. J. Comput. Phys. 217(1): 37-62 (2006) - [j2]Zakaria Belhachmi, Christine Bernardi, Simone Deparis
An Efficient Discretization of the Navier-Stokes Equations in an Axisymmetric Domain. Part 1: The Discrete Problem and its Numerical Analysis. J. Sci. Comput. 27(1-3): 97-110 (2006) - [j1]Zakaria Belhachmi, Christine Bernardi, Simone Deparis
Weighted Clément operator and application to the finite element discretization of the axisymmetric Stokes problem. Numerische Mathematik 105(2): 217-247 (2006)
Coauthor Index
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