"Natural norm" a posteriori error estimators for reduced basis approximations. - Sugata Sen; Karen Veroy; Dinh Bao Phuong Huynh; Simone Deparis; Ngoc Cuong Nguyen; Anthony T. Patera (J. Comput. Phys., 2006)

An Efficient Discretization of the Navier-Stokes Equations in an Axisymmetric Domain. Part 1: The Discrete Problem and its Numerical Analysis. - Zakaria Belhachmi; Christine Bernardi; Simone Deparis; Frédéric Hecht (J. Sci. Comput., 2006)

Weighted Clément operator and application to the finite element discretization of the axisymmetric Stokes problem. - Zakaria Belhachmi; Christine Bernardi; Simone Deparis (Numerische Mathematik, 2006)

Reduced Basis Error Bound Computation of Parameter-Dependent Navier-Stokes Equations by the Natural Norm Approach. - Simone Deparis (SIAM J. Numer. Anal., 2008)

Reduced basis method for multi-parameter-dependent steady Navier-Stokes equations: Applications to natural convection in a cavity. - Simone Deparis; Gianluigi Rozza (J. Comput. Phys., 2009)

Parallel Algorithms for Fluid-Structure Interaction Problems in Haemodynamics. - Paolo Crosetto; Simone Deparis; Gilles Fourestey; Alfio Quarteroni (SIAM J. Sci. Comput., 2011)

Stabilized Reduced Basis Approximation of Incompressible Three-Dimensional Navier-Stokes Equations in Parametrized Deformed Domains. - Simone Deparis; A. Emil Løvgren (J. Sci. Comput., 2012)

On the continuity of mean total normal stress in geometrical multiscale cardiovascular problems. - Pablo J. Blanco; Simone Deparis; A. Cristiano I. Malossi (J. Comput. Phys., 2013)

Implicit Coupling of One-Dimensional and Three-Dimensional Blood Flow Models with Compliant Vessels. - A. Cristiano I. Malossi; Pablo J. Blanco; Paolo Crosetto; Simone Deparis; Alfio Quarteroni (Multiscale Model. Simul., 2013)

Comparisons between reduced order models and full 3D models for fluid-structure interaction problems in haemodynamics. - Claudia Maria Colciago; Simone Deparis; Alfio Quarteroni (J. Comput. Appl. Math., 2014)

A Rescaled Localized Radial Basis Function Interpolation on Non-Cartesian and Nonconforming Grids. - Simone Deparis; Davide Forti; Alfio Quarteroni (SIAM J. Sci. Comput., 2014)

FaCSI: A block parallel preconditioner for fluid-structure interaction in hemodynamics. - Simone Deparis; Davide Forti; Gwenol Grandperrin; Alfio Quarteroni (J. Comput. Phys., 2016)

Parallel subdomain solver strategies for the algebraic additive Schwarz preconditioner. - Radu Popescu; Michael A. Heroux; Simone Deparis (Parallel Comput., 2016)

Multiphysics Computational Modeling in CHeart. - Jack Lee; Andrew N. Cookson; Ishani Roy; Eric Kerfoot; Liya Asner; Guillermo Vigueras; Taha Sochi; Simone Deparis; Christian Michler; Nicolas P. Smith; David A. Nordsletten (SIAM J. Sci. Comput., 2016)

A Monolithic Approach to Fluid-Composite Structure Interaction. - Davide Forti; Martina Bukac; Annalisa Quaini; Suncica Canic; Simone Deparis (J. Sci. Comput., 2017)

Coupling non-conforming discretizations of PDEs by spectral approximation of the Lagrange multiplier space. - Simone Deparis; Luca Pegolotti (CoRR, 2018)

Reduced Numerical Approximation of Reduced Fluid-Structure Interaction Problems With Applications in Hemodynamics. - Claudia Maria Colciago; Simone Deparis (Frontiers Appl. Math. Stat., 2018)

Multi Space Reduced Basis Preconditioners for Large-Scale Parametrized PDEs. - Niccolò Dal Santo; Simone Deparis; Andrea Manzoni; Alfio Quarteroni (SIAM J. Sci. Comput., 2018)

Multi space reduced basis preconditioners for parametrized Stokes equations. - Niccolò Dal Santo; Simone Deparis; Andrea Manzoni; Alfio Quarteroni (Comput. Math. Appl., 2019)

Model order reduction of flow based on a modular geometrical approximation of blood vessels. - Luca Pegolotti; Martin R. Pfaller; Alison L. Marsden; Simone Deparis (CoRR, 2020)

Data driven approximation of parametrized PDEs by reduced basis and neural networks. - Niccolò Dal Santo; Simone Deparis; Luca Pegolotti (J. Comput. Phys., 2020)

The INTERNODES method for applications in contact mechanics and dedicated preconditioning techniques. - Yannis Voet; Guillaume Anciaux; Simone Deparis; Paola Gervasio (Comput. Math. Appl., 2022)

PDE-Aware Deep Learning for Inverse Problems in Cardiac Electrophysiology. - Riccardo Tenderini; Stefano Pagani; Alfio Quarteroni; Simone Deparis (SIAM J. Sci. Comput., 2022)

Can Knowledge Transfer Techniques Compensate for the Limited Myocardial Infarction Data by Leveraging Hæmodynamics? An in silico Study. - Riccardo Tenderini; Federico Betti; Ortal Yona Senouf; Olivier Muller; Simone Deparis; Annalisa Buffa; Emmanuel Abbe (AIME, 2023)

DeepBND: A machine learning approach to enhance multiscale solid mechanics. - Felipe Rocha; Simone Deparis; Pablo Antolin; Annalisa Buffa (J. Comput. Phys., 2023)

Mimetic finite difference schemes for transport operators with divergence-free advective field and applications to plasma physics. - Micol Bassanini; Simone Deparis; Paolo Ricci (CoRR, 2024)

Space-Time Reduced Basis Methods for Parametrized Unsteady Stokes Equations. - Riccardo Tenderini; Nicholas Mueller; Simone Deparis (SIAM J. Sci. Comput., 2024)

A spline-based hexahedral mesh generator for patient-specific coronary arteries. - Fabio Marcinnò; Jochen Hinz; Annalisa Buffa; Simone Deparis (CoRR, 2025)

Model order reduction of hemodynamics by space-time reduced basis and reduced fluid-structure interaction. - Riccardo Tenderini; Simone Deparis (CoRR, 2025)

Deformable registration and generative modelling of aortic anatomies by auto-decoders and neural ODEs. - Riccardo Tenderini; Luca Pegolotti; Fanwei Kong; Stefano Pagani; Francesco Regazzoni 002; Alison L. Marsden; Simone Deparis (CoRR, 2025)

IMEX-RB: a self-adaptive IMEX time integration scheme exploiting the RB method. - Micol Bassanini; Simone Deparis; Francesco Sala; Riccardo Tenderini (CoRR, 2025)