69 citations · 143 across the 10 of their papers we have counts for
10 papers
Model order reduction of hemodynamics by space-time reduced basis and reduced fluid-structure interaction
Riccardo Tenderini, Simone Deparis
In this work, we apply the space-time Galerkin reduced basis (ST-GRB) method to a reduced fluid-structure interaction model, for the numerical simulation of hemodynamics in arterie…
A spline-based hexahedral mesh generator for patient-specific coronary arteries
Fabio Marcinnó, Jochen Hinz, Annalisa Buffa +1
This paper presents a spline-based hexahedral mesh generator for tubular geometries commonly encountered in haemodynamics studies, in particular coronary arteries. We focus on tech…
Space-time reduced basis methods for parametrized unsteady Stokes equations
Riccardo Tenderini, Nicholas Mueller, Simone Deparis
In this work, we analyse space-time reduced basis methods for the efficient numerical simulation of hemodynamics in arteries. The classical formulation of the reduced basis (RB) me…
DeepBND: a Machine Learning approach to enhance Multiscale Solid Mechanics
Felipe Rocha, Simone Deparis, Pablo Antolin +1
Effective properties of materials with random heterogeneous structures are typically determined by homogenising the mechanical quantity of interest in a window of observation. The…
Model order reduction of flow based on a modular geometrical approximation of blood vessels
Luca Pegolotti, Martin Pfaller, Alison Marsden +1
We are interested in a reduced order method for the efficient simulation of blood flow in arteries. The blood dynamics is modeled by means of the incompressible Navier-Stokes equat…
Data driven approximation of parametrized PDEs by Reduced Basis and Neural Networks
Niccolò Dal Santo, Simone Deparis, Luca Pegolotti
We are interested in the approximation of partial differential equations with a data-driven approach based on the reduced basis method and machine learning. We suppose that the phe…
Coupling non-conforming discretizations of PDEs by spectral approximation of the Lagrange multiplier space
Simone Deparis, Luca Pegolotti
This work focuses on the development of a non-conforming domain decomposition method for the approximation of PDEs based on weakly imposed transmission conditions: the continuity o…
Reduced order models for fluid-structure interaction problems with applications in haemodynamics
Claudia M. Colciago, Simone Deparis
This paper deals with fast simulations of the haemodynamics in large arteries by considering a reduced model of the associated fluid-structure interaction problem, which in turn al…
The LifeV library: engineering mathematics beyond the proof of concept
Luca Bertagna, Simone Deparis, Luca Formaggia +2
LifeV is a library for the finite element (FE) solution of partial differential equations in one, two, and three dimensions. It is written in C++ and designed to run on diverse par…
Simulation of left ventricle fluid dynamics with mitral regurgitation from magnetic resonance images with fictitious elastic structure regularization
Toni Lassila, Cristiano Malossi, Marco Stevanella +3
Computer modeling can provide quantitative insight into cardiac fluid dynamics phenomena that are not evident from standard imaging tools. We propose a new approach to modeling lef…