Numerical Approximation of a Control Problem for Advection-Diffusion Processes. - Alfio Quarteroni; Gianluigi Rozza; Luca Dedè; Annalisa Quaini (System Modelling and Optimization, 2005)

A Mathematical Approach in the Design of Arterial Bypass Using Unsteady Stokes Equations. - Valery I. Agoshkov; Alfio Quarteroni; Gianluigi Rozza (J. Sci. Comput., 2006)

Shape Design in Aorto-Coronaric Bypass Anastomoses Using Perturbation Theory. - Valery I. Agoshkov; Alfio Quarteroni; Gianluigi Rozza (SIAM J. Numer. Anal., 2006)

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)

Reduction Strategies for Shape Dependent Inverse Problems in Haemodynamics. - Toni Lassila; Andrea Manzoni; Gianluigi Rozza (System Modelling and Optimization, 2011)

A Reduced-Order Strategy for Solving Inverse Bayesian Shape Identification Problems in Physiological Flows. - Andrea Manzoni; Toni Lassila; Alfio Quarteroni; Gianluigi Rozza (HPSC, 2012)

A Reduced Basis Model with Parametric Coupling for Fluid-Structure Interaction Problems. - Toni Lassila; Alfio Quarteroni; Gianluigi Rozza (SIAM J. Sci. Comput., 2012)

Reduced Basis Approximation of Parametrized Advection-Diffusion PDEs with High Péclet Number. - Paolo Pacciarini; Gianluigi Rozza (ENUMATH, 2013)

Reduced basis approximation and a posteriori error estimation for Stokes flows in parametrized geometries: roles of the inf-sup stability constants. - Gianluigi Rozza; Dinh Bao Phuong Huynh; Andrea Manzoni (Numerische Mathematik, 2013)

Stochastic Optimal Robin Boundary Control Problems of Advection-Dominated Elliptic Equations. - Peng Chen 016; Alfio Quarteroni; Gianluigi Rozza (SIAM J. Numer. Anal., 2013)

A Weighted Reduced Basis Method for Elliptic Partial Differential Equations with Random Input Data. - Peng Chen 016; Alfio Quarteroni; Gianluigi Rozza (SIAM J. Numer. Anal., 2013)

Reduced Basis Method for Parametrized Elliptic Optimal Control Problems. - Federico Negri; Gianluigi Rozza; Andrea Manzoni; Alfio Quarteroni (SIAM J. Sci. Comput., 2013)

Shape Optimization by Free-Form Deformation: Existence Results and Numerical Solution for Stokes Flows. - Francesco Ballarin; Andrea Manzoni; Gianluigi Rozza; Sandro Salsa (J. Sci. Comput., 2014)

Comparison Between Reduced Basis and Stochastic Collocation Methods for Elliptic Problems. - Peng Chen 016; Alfio Quarteroni; Gianluigi Rozza (J. Sci. Comput., 2014)

Model order reduction of parameterized systems (MoRePaS) - Preface to the special issue of advances in computational mathematics. - Peter Benner; Mario Ohlberger; Anthony T. Patera; Gianluigi Rozza; Danny C. Sorensen; Karsten Urban (Adv. Comput. Math., 2015)

Reduced basis approximation and a-posteriori error estimation for the coupled Stokes-Darcy system. - Immanuel Martini; Gianluigi Rozza; Bernard Haasdonk (Adv. Comput. Math., 2015)

Reduced basis approximation of parametrized optimal flow control problems for the Stokes equations. - Federico Negri; Andrea Manzoni; Gianluigi Rozza (Comput. Math. Appl., 2015)

Isogeometric analysis-based reduced order modelling for incompressible linear viscous flows in parametrized shapes. - Filippo Salmoiraghi; Francesco Ballarin; Luca Heltai; Gianluigi Rozza (Adv. Model. Simul. Eng. Sci., 2016)

Reduced basis method and domain decomposition for elliptic problems in networks and complex parametrized geometries. - Laura Iapichino; Alfio Quarteroni; Gianluigi Rozza (Comput. Math. Appl., 2016)

Fast simulations of patient-specific haemodynamics of coronary artery bypass grafts based on a POD-Galerkin method and a vascular shape parametrization. - Francesco Ballarin; Elena Faggiano; Sonia Ippolito; Andrea Manzoni; Alfio Quarteroni; Gianluigi Rozza; Roberto Scrofani (J. Comput. Phys., 2016)

Multilevel and weighted reduced basis method for stochastic optimal control problems constrained by Stokes equations. - Peng Chen 016; Alfio Quarteroni; Gianluigi Rozza (Numerische Mathematik, 2016)

Computational reduction strategies for the detection of steady bifurcations in incompressible fluid-dynamics: Applications to Coanda effect in cardiology. - Giuseppe Pitton; Annalisa Quaini; Gianluigi Rozza (J. Comput. Phys., 2017)

On the Application of Reduced Basis Methods to Bifurcation Problems in Incompressible Fluid Dynamics. - Giuseppe Pitton; Gianluigi Rozza (J. Sci. Comput., 2017)

Reduced Basis Methods for Uncertainty Quantification. - Peng Chen 016; Alfio Quarteroni; Gianluigi Rozza (SIAM/ASA J. Uncertain. Quantification, 2017)

On a Certified Smagorinsky Reduced Basis Turbulence Model. - Tomás Chacón Rebollo; Enrique Delgado Ávila; Macarena Gómez Mármol; Francesco Ballarin; Gianluigi Rozza (SIAM J. Numer. Anal., 2017)

Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems. - Marco Tezzele; Filippo Salmoiraghi; Andrea Mola; Gianluigi Rozza (Adv. Model. Simul. Eng. Sci., 2018)

PyDMD: Python Dynamic Mode Decomposition. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (J. Open Source Softw., 2018)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (J. Open Source Softw., 2018)

Certified Reduced Basis Approximation for the Coupling of Viscous and Inviscid Parametrized Flow Models. - Immanuel Martini; Bernard Haasdonk; Gianluigi Rozza (J. Sci. Comput., 2018)

Stabilized Weighted Reduced Basis Methods for Parametrized Advection Dominated Problems with Random Inputs. - Davide Torlo; Francesco Ballarin; Gianluigi Rozza (SIAM/ASA J. Uncertain. Quantification, 2018)

Model Reduction for Parametrized Optimal Control Problems in Environmental Marine Sciences and Engineering. - Maria Strazzullo; Francesco Ballarin; Renzo Mosetti; Gianluigi Rozza (SIAM J. Sci. Comput., 2018)

PyDMD: Python Dynamic Mode Decomposition. - Marco Tezzele; Nicola Demo; Gianluigi Rozza (Zenodo, 2018)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2018)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2018)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2018)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2018)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2018)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2018)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2018)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2018)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2018)

Discontinuous Galerkin Model Order Reduction of Geometrically Parametrized Stokes Equation. - Nirav Vasant Shah; Martin Wilfried Hess; Gianluigi Rozza (ENUMATH, 2019)

Reduced Order Methods for Parametrized Non-linear and Time Dependent Optimal Flow Control Problems, Towards Applications in Biomedical and Environmental Sciences. - Maria Strazzullo; Zakia Zainib; Francesco Ballarin; Gianluigi Rozza (ENUMATH, 2019)

A reduced order variational multiscale approach for turbulent flows. - Giovanni Stabile; Francesco Ballarin; Giacomo Zuccarino; Gianluigi Rozza (Adv. Comput. Math., 2019)

Efficient Reduction in Shape Parameter Space Dimension for Ship Propeller Blade Design. - Andrea Mola; Marco Tezzele; Mahmoud Gadalla; Federica Valdenazzi; Davide Grassi; Roberta Padovan; Gianluigi Rozza (CoRR, 2019)

A Hybrid Reduced Order Method for Modelling Turbulent Heat Transfer Problems. - Sokratia Georgaka; Giovanni Stabile; Kelbij Star; Gianluigi Rozza; Michael J. Bluck (CoRR, 2019)

A Reduced Order technique to study bifurcating phenomena: application to the Gross-Pitaevskii equation. - Federico Pichi; Annalisa Quaini; Gianluigi Rozza (CoRR, 2019)

A Reduced-Order Shifted Boundary Method for Parametrized incompressible Navier-Stokes equations. - Efthymios N. Karatzas; Giovanni Stabile; Léo Nouveau; Guglielmo Scovazzi; Gianluigi Rozza (CoRR, 2019)

A non-intrusive approach for proper orthogonal decomposition modal coefficients reconstruction through active subspaces. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (CoRR, 2019)

Reduced order methods for parametric optimal flow control in coronary bypass grafts, towards patient-specific data assimilation. - Zakia Zainib; Francesco Ballarin; Stephen Fremes; Piero Triverio; Laura Jiménez-Juan; Gianluigi Rozza (CoRR, 2019)

Overcoming slowly decaying Kolmogorov n-width by transport maps: application to model order reduction of fluid dynamics and fluid-structure interaction problems. - Monica Nonino; Francesco Ballarin; Gianluigi Rozza; Yvon Maday (CoRR, 2019)

Basic Ideas and Tools for Projection-Based Model Reduction of Parametric Partial Differential Equations. - Gianluigi Rozza; Martin W. Hess; Giovanni Stabile; Marco Tezzele; Francesco Ballarin (CoRR, 2019)

Extension and comparison of techniques to enforce boundary conditions in Finite Volume POD-Galerkin reduced order models for fluid dynamic problems. - S. Kelbij Star; Giovanni Stabile; Francesco Belloni; Gianluigi Rozza; Joris Degroote (CoRR, 2019)

BladeX: Python Blade Morphing. - Mahmoud Gadalla; Marco Tezzele; Andrea Mola; Gianluigi Rozza (J. Open Source Softw., 2019)

Preface: Special Issue on Model Reduction. - Tony Lelièvre; Simona Perotto; Gianluigi Rozza; Daniele A. Di Pietro; Alexandre Ern; Luca Formaggia (J. Sci. Comput., 2019)

Reduced Basis Approaches for Parametrized Bifurcation Problems held by Non-linear Von Kármán Equations. - Federico Pichi; Gianluigi Rozza (J. Sci. Comput., 2019)

A Weighted POD Method for Elliptic PDEs with Random Inputs. - Luca Venturi; Francesco Ballarin; Gianluigi Rozza (J. Sci. Comput., 2019)

BladeX: Python Blade Morphing. - Mahmoud Gadalla; Marco Tezzele; Andrea Mola; Gianluigi Rozza (Zenodo, 2019)

Enhancing CFD predictions in shape design problems by model and parameter space reduction. - Marco Tezzele; Nicola Demo; Giovanni Stabile; Andrea Mola; Gianluigi Rozza (Adv. Model. Simul. Eng. Sci., 2020)

Stabilized reduced basis methods for parametrized steady Stokes and Navier-Stokes equations. - Shafqat Ali; Francesco Ballarin; Gianluigi Rozza (Comput. Math. Appl., 2020)

Certified Reduced Basis VMS-Smagorinsky model for natural convection flow in a cavity with variable height. - Francesco Ballarin; Tomás Chacón Rebollo; Enrique Delgado Ávila; Macarena Gómez Mármol; Gianluigi Rozza (Comput. Math. Appl., 2020)

POD-Galerkin reduced order methods for combined Navier-Stokes transport equations based on a hybrid FV-FE solver. - Saray Busto; Giovanni Stabile; Gianluigi Rozza; M. Elena Vázquez-Cendón (Comput. Math. Appl., 2020)

Projection-based reduced order models for a cut finite element method in parametrized domains. - Efthymios N. Karatzas; Francesco Ballarin; Gianluigi Rozza (Comput. Math. Appl., 2020)

An efficient computational framework for naval shape design and optimization problems by means of data-driven reduced order modeling techniques. - Nicola Demo; Giulio Ortali; Gianluca Gustin; Gianluigi Rozza; Gianpiero Lavini (CoRR, 2020)

MicroROM: An Efficient and Accurate Reduced Order Method to Solve Many-Query Problems in Micro-Motility. - Nicola Giuliani; Martin W. Hess; Antonio DeSimone; Gianluigi Rozza (CoRR, 2020)

On the comparison of LES data-driven reduced order approaches for hydroacoustic analysis. - Mahmoud Gadalla; Marta Cianferra; Marco Tezzele; Giovanni Stabile; Andrea Mola; Gianluigi Rozza (CoRR, 2020)

Non-intrusive PODI-ROM for patient-specific aortic blood flow in presence of a LVAD device. - Michele Girfoglio; Francesco Ballarin; Giuseppe Infantino; Francesca Nicolò; Andrea Montalto; Gianluigi Rozza; Roberto Scrofani; Marina Comisso; Francesco Musumeci 003 (CoRR, 2020)

Kernel-based Active Subspaces with application to CFD parametric problems using Discontinuous Galerkin method. - Francesco Romor; Marco Tezzele; Andrea Lario; Gianluigi Rozza (CoRR, 2020)

A Reduced Order Cut Finite Element method for geometrically parameterized steady and unsteady Navier-Stokes problems. - Efthymios N. Karatzas; Monica Nonino; Francesco Ballarin; Gianluigi Rozza (CoRR, 2020)

A comparison of reduced-order modeling approaches for PDEs with bifurcating solutions. - Martin W. Hess; Annalisa Quaini; Gianluigi Rozza (CoRR, 2020)

A non-intrusive data-driven ROM framework for hemodynamics problems. - Michele Girfoglio; L. Scandurra; Francesco Ballarin; Giuseppe Infantino; Francesca Nicolò; Andrea Montalto; Gianluigi Rozza; Roberto Scrofani; Marina Comisso; Francesco Musumeci 003 (CoRR, 2020)

Multi-fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces. - Francesco Romor; Marco Tezzele; Gianluigi Rozza (CoRR, 2020)

Driving bifurcating parametrized nonlinear PDEs by optimal control strategies: application to Navier-Stokes equations with model order reduction. - Federico Pichi; Maria Strazzullo; Francesco Ballarin; Gianluigi Rozza (CoRR, 2020)

Reduced order methods for parametric flow control problems and applications. - Francesco Ballarin; Gianluigi Rozza; Maria Strazzullo (CoRR, 2020)

Gaussian process approach within a data-driven POD framework for fluid dynamics engineering problems. - Giulio Ortali; Nicola Demo; Gianluigi Rozza (CoRR, 2020)

Data-driven POD-Galerkin reduced order model for turbulent flows. - Saddam Hijazi; Giovanni Stabile; Andrea Mola; Gianluigi Rozza (J. Comput. Phys., 2020)

POD-Galerkin Model Order Reduction for Parametrized Time Dependent Linear Quadratic Optimal Control Problems in Saddle Point Formulation. - Maria Strazzullo; Francesco Ballarin; Gianluigi Rozza (J. Sci. Comput., 2020)

A Reduced Order Modeling Technique to Study Bifurcating Phenomena: Application to the Gross-Pitaevskii Equation. - Federico Pichi; Annalisa Quaini; Gianluigi Rozza (SIAM J. Sci. Comput., 2020)

Efficient computation of bifurcation diagrams with a deflated approach to reduced basis spectral element method. - Moreno Pintore; Federico Pichi; Martin W. Hess; Gianluigi Rozza; Claudio Canuto (Adv. Comput. Math., 2021)

A weighted POD-reduction approach for parametrized PDE-constrained optimal control problems with random inputs and applications to environmental sciences. - Giuseppe Carere; Maria Strazzullo; Francesco Ballarin; Gianluigi Rozza; Rob Stevenson 001 (Comput. Math. Appl., 2021)

Hull shape design optimization with parameter space and model reductions, and self-learning mesh morphing. - Nicola Demo; Marco Tezzele; Andrea Mola; Gianluigi Rozza (CoRR, 2021)

A numerical approach for heat flux estimation in thin slabs continuous casting molds using data assimilation. - Umberto Emil Morelli; Patricia Barral; Peregrina Quintela; Gianluigi Rozza; Giovanni Stabile (CoRR, 2021)

Fluid-structure interaction simulations with a LES filtering approach in solids4Foam. - Michele Girfoglio; Annalisa Quaini; Gianluigi Rozza (CoRR, 2021)

A Certified Reduced Basis Method for Linear Parametrized Parabolic Optimal Control Problems in Space-Time Formulation. - Maria Strazzullo; Francesco Ballarin; Gianluigi Rozza (CoRR, 2021)

A Reduced basis stabilization for the unsteady Stokes and Navier-Stokes equations. - Shafqat Ali; Francesco Ballarin; Gianluigi Rozza (CoRR, 2021)

A monolithic and a partitioned Reduced Basis Method for Fluid-Structure Interaction problems. - Monica Nonino; Francesco Ballarin; Gianluigi Rozza (CoRR, 2021)

An optimal control approach to determine resistance-type boundary conditions from in-vivo data for cardiovascular simulations. - Elisa Fevola; Francesco Ballarin; Laura Jiménez-Juan; Stephen Fremes; Stefano Grivet-Talocia; Gianluigi Rozza; Piero Triverio (CoRR, 2021)

Pressure stabilization strategies for a LES filtering Reduced Order Model. - Michele Girfoglio; Annalisa Quaini; Gianluigi Rozza (CoRR, 2021)

Hybrid neural network reduced order modelling for turbulent flows with geometric parameters. - Matteo Zancanaro; Markus Mrosek; Giovanni Stabile; Carsten Othmer; Gianluigi Rozza (CoRR, 2021)

A Hybrid Reduced Order Model for nonlinear LES filtering. - Michele Girfoglio; Annalisa Quaini; Gianluigi Rozza (CoRR, 2021)

The Neural Network shifted-Proper Orthogonal Decomposition: a Machine Learning Approach for Non-linear Reduction of Hyperbolic Equations. - Davide Papapicco; Nicola Demo; Michele Girfoglio; Giovanni Stabile; Gianluigi Rozza (CoRR, 2021)

Thermomechanical modelling for industrial applications. - Nirav Vasant Shah; Michele Girfoglio; Gianluigi Rozza (CoRR, 2021)

An artificial neural network approach to bifurcating phenomena in computational fluid dynamics. - Federico Pichi; Francesco Ballarin; Gianluigi Rozza; Jan S. Hesthaven (CoRR, 2021)

Consistency of the Full and Reduced Order Models for Evolve-Filter-Relax Regularization of Convection-Dominated, Marginally-Resolved Flows. - Maria Strazzullo; Michele Girfoglio; Francesco Ballarin; Traian Iliescu; Gianluigi Rozza (CoRR, 2021)

Model order reduction for bifurcating phenomena in Fluid-Structure Interaction problems. - Moaad Khamlich; Federico Pichi; Gianluigi Rozza (CoRR, 2021)

Neural-network learning of SPOD latent dynamics. - Andrea Lario; Romit Maulik; Gianluigi Rozza; Gianmarco Mengaldo (CoRR, 2021)

An efficient FV-based Virtual Boundary Method for the simulation of fluid-solid interaction. - Michele Girfoglio; Giovanni Stabile; Andrea Mola; Gianluigi Rozza (CoRR, 2021)

Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering. - Francesco Romor; Marco Tezzele; Markus Mrosek; Carsten Othmer; Gianluigi Rozza (CoRR, 2021)

Finite element based model order reduction for parametrized one-way coupled steady state linear thermomechanical problems. - Nirav Vasant Shah; Michele Girfoglio; Peregrina Quintela; Gianluigi Rozza; Alejandro Lengomin; Francesco Ballarin; Patricia Barral (CoRR, 2021)

A data-driven partitioned approach for the resolution of time-dependent optimal control problems with dynamic mode decomposition. - Eleonora Donadini; Maria Strazzullo; Marco Tezzele; Gianluigi Rozza (CoRR, 2021)

A POD-Galerkin reduced order model for a LES filtering approach. - Michele Girfoglio; Annalisa Quaini; Gianluigi Rozza (J. Comput. Phys., 2021)

A Reduced Order Model for a Stable Embedded Boundary Parametrized Cahn-Hilliard Phase-Field System Based on Cut Finite Elements. - Efthymios N. Karatzas; Gianluigi Rozza (J. Sci. Comput., 2021)

Hierarchical Model Reduction Techniques for Flow Modeling in a Parametrized Setting. - Matteo Zancanaro; Francesco Ballarin; Simona Perotto; Gianluigi Rozza (Multiscale Model. Simul., 2021)

A Supervised Learning Approach Involving Active Subspaces for an Efficient Genetic Algorithm in High-Dimensional Optimization Problems. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (SIAM J. Sci. Comput., 2021)

ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis. - Francesco Romor; Marco Tezzele; Gianluigi Rozza (Softw. Impacts, 2021)

PyGeM: Python Geometrical Morphing. - Marco Tezzele; Nicola Demo; Andrea Mola; Gianluigi Rozza (Softw. Impacts, 2021)

Benchmarks inverse heat transfer problem: Boundary heat flux estimation in continuous casting mold. - Umberto Emil Morelli; Giovanni Stabile; Patricia Barral; Gianluigi Rozza; Peregrina Quintela (Zenodo, 2021)

A Proper Orthogonal Decomposition Approach for Parameters Reduction of Single Shot Detector Networks. - Laura Meneghetti; Nicola Demo; Gianluigi Rozza (ICIP, 2022)

A Reduced Order Cut Finite Element method for geometrically parametrized steady and unsteady Navier-Stokes problems. - Efthymios N. Karatzas; Monica Nonino; Francesco Ballarin; Gianluigi Rozza (Comput. Math. Appl., 2022)

A POD-Galerkin reduced order model for the Navier-Stokes equations in stream function-vorticity formulation. - Michele Girfoglio; Annalisa Quaini; Gianluigi Rozza (CoRR, 2022)

Fast and accurate numerical simulations for the study of coronary artery bypass grafts by artificial neural network. - Pierfrancesco Siena; Michele Girfoglio; Gianluigi Rozza (CoRR, 2022)

Model Reduction Using Sparse Polynomial Interpolation for the Incompressible Navier-Stokes Equations. - Martin W. Hess; Gianluigi Rozza (CoRR, 2022)

Projection based semi-implicit partitioned Reduced Basis Method for non parametrized and parametrized Fluid-Structure Interaction problems. - Monica Nonino; Francesco Ballarin; Gianluigi Rozza; Yvon Maday (CoRR, 2022)

Reduced order modeling for spectral element methods: current developments in Nektar++ and further perspectives. - Martin W. Hess; Andrea Lario; Gianmarco Mengaldo; Gianluigi Rozza (CoRR, 2022)

Embedded domain Reduced Basis Models for the shallow water hyperbolic equations with the Shifted Boundary Method. - Xianyi Zeng; Giovanni Stabile; Efthymios N. Karatzas; Guglielmo Scovazzi; Gianluigi Rozza (CoRR, 2022)

Data-Driven Enhanced Model Reduction for Bifurcating Models in Computational Fluid Dynamics. - Martin W. Hess; Annalisa Quaini; Gianluigi Rozza (CoRR, 2022)

Towards a Numerical Proof of Turbulence Closure. - Giulio Ortali; Alessandro Corbetta; Gianluigi Rozza; Federico Toschi (CoRR, 2022)

Non-linear manifold ROM with Convolutional Autoencoders and Reduced Over-Collocation method. - Francesco Romor; Giovanni Stabile; Gianluigi Rozza (CoRR, 2022)

An introduction to POD-Greedy-Galerkin reduced basis method. - Pierfrancesco Siena; Michele Girfoglio; Gianluigi Rozza (CoRR, 2022)

A segregated reduced order model of a pressure-based solver for turbulent compressible flows. - Matteo Zancanaro; Giovanni Stabile; Gianluigi Rozza (CoRR, 2022)

A multi-fidelity approach coupling parameter space reduction and non-intrusive POD with application to structural optimization of passenger ship hulls. - Marco Tezzele; Lorenzo Fabris; Matteo Sidari; Mauro Sicchiero; Gianluigi Rozza (CoRR, 2022)

A data-driven Reduced Order Method for parametric optimal blood flow control: application to coronary bypass graft. - Caterina Balzotti; Pierfrancesco Siena; Michele Girfoglio; Annalisa Quaini; Gianluigi Rozza (CoRR, 2022)

Novel Methodologies for Solving the Inverse Unsteady Heat Transfer Problem of Estimating the Boundary Heat Flux in Continuous Casting Molds. - Umberto Emil Morelli; Patricia Barral; Peregrina Quintela; Gianluigi Rozza; Giovanni Stabile (CoRR, 2022)

A unified steady and unsteady formulation for hydrodynamic potential flow simulations with fully nonlinear free surface boundary conditions. - Andrea Mola; Nicola Giuliani; Óscar Crego; Gianluigi Rozza (CoRR, 2022)

A Continuous Convolutional Trainable Filter for Modelling Unstructured Data. - Dario Coscia; Laura Meneghetti; Nicola Demo; Giovanni Stabile; Gianluigi Rozza (CoRR, 2022)

A linear filter regularization for POD-based reduced order models of the quasi-geostrophic equations. - Michele Girfoglio; Annalisa Quaini; Gianluigi Rozza (CoRR, 2022)

Deep learning-based reduced-order methods for fast transient dynamics. - Martina Cracco; Giovanni Stabile; Andrea Lario; Martin Larcher; Folco Casadei; Georgios Valsamos; Gianluigi Rozza (CoRR, 2022)

Non-intrusive reduced order models for the accurate prediction of bifurcating phenomena in compressible fluid dynamics. - Niccolò Tonicello; Andrea Lario; Gianluigi Rozza; Gianmarco Mengaldo (CoRR, 2022)

Assessment of URANS and LES Methods in Predicting Wake Shed Behind a Vertical Axis Wind Turbine. - Armin Sheidani; Sajad Salavatidezfouli; Giovanni Stabile; Gianluigi Rozza (CoRR, 2022)

Neural-network learning of SPOD latent dynamics. - Andrea Lario; Romit Maulik; Oliver T. Schmidt; Gianluigi Rozza; Gianmarco Mengaldo (J. Comput. Phys., 2022)

POD-Galerkin model order reduction for parametrized nonlinear time-dependent optimal flow control: an application to shallow water equations. - Maria Strazzullo; Francesco Ballarin; Gianluigi Rozza (J. Num. Math., 2022)

Scientific Machine Learning Through Physics-Informed Neural Networks: Where we are and What's Next. - Salvatore Cuomo; Vincenzo Schiano Di Cola; Fabio Giampaolo; Gianluigi Rozza; Maziar Raissi; Francesco Piccialli (J. Sci. Comput., 2022)

Verifiability of the Data-Driven Variational Multiscale Reduced Order Model. - Birgul Koc; Changhong Mou; Honghu Liu; Zhu Wang 003; Gianluigi Rozza; Traian Iliescu (J. Sci. Comput., 2022)

Reduced basis methods for time-dependent problems. - Jan S. Hesthaven; Cecilia Pagliantini; Gianluigi Rozza (Acta Numer., 2022)

An extended physics informed neural network for preliminary analysis of parametric optimal control problems. - Nicola Demo; Maria Strazzullo; Gianluigi Rozza (Comput. Math. Appl., 2023)

A two stages Deep Learning Architecture for Model Reduction of Parametric Time-Dependent Problems. - Isabella Carla Gonnella; Martin W. Hess; Giovanni Stabile; Gianluigi Rozza (CoRR, 2023)

Reduced Basis, Embedded Methods and Parametrized Levelset Geometry. - Efthymios N. Karatzas; Giovanni Stabile; Francesco Ballarin; Gianluigi Rozza (CoRR, 2023)

A Graph-based Framework for Complex System Simulating and Diagnosis with Automatic Reconfiguration. - Martina Teruzzi; Nicola Demo; Gianluigi Rozza (CoRR, 2023)

Weighted reduced order methods for uncertainty quantification in computational fluid dynamics. - Julien Genovese; Francesco Ballarin; Gianluigi Rozza; Claudio Canuto (CoRR, 2023)

Model Order Reduction for Deforming Domain Problems in a Time-Continuous Space-Time Setting. - Fabian Key; Max von Danwitz; Francesco Ballarin; Gianluigi Rozza (CoRR, 2023)

Applicable Methodologies for the Mass Transfer Phenomenon in Tumble Dryers: A Review. - Sajad Salavatidezfouli; Arash Hajisharifi; Michele Girfoglio; Giovanni Stabile; Gianluigi Rozza (CoRR, 2023)

A physics-based reduced order model for urban air pollution prediction. - Moaad Khamlich; Giovanni Stabile; Gianluigi Rozza; László Környei; Zoltán Horváth (CoRR, 2023)

A shape optimization pipeline for marine propellers by means of reduced order modeling techniques. - Anna Ivagnes; Nicola Demo; Gianluigi Rozza (CoRR, 2023)

Filter stabilization for the mildly compressible Euler equations with application to atmosphere dynamics simulations. - Nicola Clinco; Michele Girfoglio; Annalisa Quaini; Gianluigi Rozza (CoRR, 2023)

A reduced-order model for segregated fluid-structure interaction solvers based on an ALE approach. - Valentin Nkana Ngan; Giovanni Stabile; Andrea Mola; Gianluigi Rozza (CoRR, 2023)

Generative Adversarial Reduced Order Modelling. - Dario Coscia; Nicola Demo; Gianluigi Rozza (CoRR, 2023)

Reduced order models for the buckling of hyperelastic beams. - Federico Pichi; Gianluigi Rozza (CoRR, 2023)

Friedrichs' systems discretized with the Discontinuous Galerkin method: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions. - Francesco Romor; Davide Torlo; Gianluigi Rozza (CoRR, 2023)

Generative Models for the Deformation of Industrial Shapes with Linear Geometric Constraints: model order and parameter space reductions. - Guglielmo Padula; Francesco Romor; Giovanni Stabile; Gianluigi Rozza (CoRR, 2023)

Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel. - Moaad Khamlich; Federico Pichi; Gianluigi Rozza (CoRR, 2023)

Deep Reinforcement Learning for the Heat Transfer Control of Pulsating Impinging Jets. - Sajad Salavatidezfouli; Giovanni Stabile; Gianluigi Rozza (CoRR, 2023)

Modal Analysis of the Wake Shed Behind a Horizontal Axis Wind Turbine with Flexible Blades. - Sajad Salavatidezfouli; Armin Sheidani; Kabir Bakhshaei; Ali Safari; Arash Hajisharifi; Giovanni Stabile; Gianluigi Rozza (CoRR, 2023)

A novel Large Eddy Simulation model for the Quasi-Geostrophic equations in a Finite Volume setting. - Michele Girfoglio; Annalisa Quaini; Gianluigi Rozza (J. Comput. Appl. Math., 2023)

A hybrid projection/data-driven reduced order model for the Navier-Stokes equations with nonlinear filtering stabilization. - Michele Girfoglio; Annalisa Quaini; Gianluigi Rozza (J. Comput. Phys., 2023)

Physics-Informed Neural networks for Advanced modeling. - Dario Coscia; Anna Ivagnes; Nicola Demo; Gianluigi Rozza (J. Open Source Softw., 2023)

Projection Based Semi-Implicit Partitioned Reduced Basis Method for Fluid-Structure Interaction Problems. - Monica Nonino; Francesco Ballarin; Gianluigi Rozza; Yvon Maday (J. Sci. Comput., 2023)

Data-Driven Reduced Order Modelling for Patient-Specific Hemodynamics of Coronary Artery Bypass Grafts with Physical and Geometrical Parameters. - Pierfrancesco Siena; Michele Girfoglio; Francesco Ballarin; Gianluigi Rozza (J. Sci. Comput., 2023)

Non-linear Manifold Reduced-Order Models with Convolutional Autoencoders and Reduced Over-Collocation Method. - Francesco Romor; Giovanni Stabile; Gianluigi Rozza (J. Sci. Comput., 2023)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2023)

Pressure data-driven variational multiscale reduced order models. - Anna Ivagnes; Giovanni Stabile; Andrea Mola; Traian Iliescu; Gianluigi Rozza (J. Comput. Phys., 2023)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2023)

A data-driven surrogate modeling approach for time-dependent incompressible Navier-Stokes equations with dynamic mode decomposition and manifold interpolation. - Martin W. Hess; Annalisa Quaini; Gianluigi Rozza (Adv. Comput. Math., 2023)

Towards a Machine Learning Pipeline in Reduced Order Modelling for Inverse Problems: Neural Networks for Boundary Parametrization, Dimensionality Reduction and Solution Manifold Approximation. - Anna Ivagnes; Nicola Demo; Gianluigi Rozza (J. Sci. Comput., 2023)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2023)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2023)

PINA: Physics-Informed Neural networks for Advanced modeling. - Dario Coscia; Anna Ivagnes; Nicola Demo; Gianluigi Rozza (Zenodo, 2023)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2023)

Hybrid data-driven closure strategies for reduced order modeling. - Anna Ivagnes; Giovanni Stabile; Andrea Mola; Traian Iliescu; Gianluigi Rozza (Appl. Math. Comput., 2023)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2023)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2023)

A Dynamic Mode Decomposition Extension for the Forecasting of Parametric Dynamical Systems. - Francesco Andreuzzi; Nicola Demo; Gianluigi Rozza (SIAM J. Appl. Dyn. Syst., 2023)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2023)

A dimensionality reduction approach for convolutional neural networks. - Laura Meneghetti; Nicola Demo; Gianluigi Rozza (Appl. Intell., 2023)

A non-intrusive data-driven reduced order model for parametrized CFD-DEM numerical simulations. - Arash Hajisharifi; Francesco Romano; Michele Girfoglio; Andrea Beccari; Domenico Bonanni; Gianluigi Rozza (J. Comput. Phys., 2023)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2023)

A two-stage deep learning architecture for model reduction of parametric time-dependent problems. - Isabella Carla Gonnella; Martin W. Hess; Giovanni Stabile; Gianluigi Rozza (Comput. Math. Appl., 2023)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2023)

A DeepONet multi-fidelity approach for residual learning in reduced order modeling. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Adv. Model. Simul. Eng. Sci., 2023)

An optimisation-based domain-decomposition reduced order model for the incompressible Navier-Stokes equations. - Ivan Prusak; Monica Nonino; Davide Torlo; Francesco Ballarin; Gianluigi Rozza (Comput. Math. Appl., 2023)

An optimisation-based domain-decomposition reduced order model for parameter-dependent non-stationary fluid dynamics problems. - Ivan Prusak; Davide Torlo; Monica Nonino; Gianluigi Rozza (Comput. Math. Appl., 2024)

PyDMD: A Python package for robust dynamic mode decomposition. - Sara M. Ichinaga; Francesco Andreuzzi; Nicola Demo; Marco Tezzele; Karl Lapo; Gianluigi Rozza; Steven L. Brunton; J. Nathan Kutz (CoRR, 2024)

Optimisation-Based Coupling of Finite Element Model and Reduced Order Model for Computational Fluid Dynamics. - Ivan Prusak; Davide Torlo; Monica Nonino; Gianluigi Rozza (CoRR, 2024)

A Predictive Surrogate Model for Heat Transfer of an Impinging Jet on a Concave Surface. - Sajad Salavatidezfouli; Saeid Rakhsha; Armin Sheidani; Giovanni Stabile; Gianluigi Rozza (CoRR, 2024)

A stochastic perturbation approach to nonlinear bifurcating problems. - Isabella Carla Gonnella; Moaad Khamlich; Federico Pichi; Gianluigi Rozza (CoRR, 2024)

Optimized Bayesian Framework for Inverse Heat Transfer Problems Using Reduced Order Methods. - Kabir Bakhshaei; Umberto Emil Morelli; Giovanni Stabile; Gianluigi Rozza (CoRR, 2024)

Enhancing non-intrusive Reduced Order Models with space-dependent aggregation methods. - Anna Ivagnes; Niccolò Tonicello; Paola Cinnella; Gianluigi Rozza (CoRR, 2024)

A LSTM-enhanced surrogate model to simulate the dynamics of particle-laden fluid systems. - Arash Hajisharifi; Rahul Halder; Michele Girfoglio; Andrea Beccari; Domenico Bonanni; Gianluigi Rozza (CoRR, 2024)

Computational study of numerical flux schemes for mesoscale atmospheric flows in a Finite Volume framework. - Nicola Clinco; Michele Girfoglio; Annalisa Quaini; Gianluigi Rozza (CoRR, 2024)

A brief review of Reduced Order Models using intrusive and non-intrusive techniques. - Guglielmo Padula; Michele Girfoglio; Gianluigi Rozza (CoRR, 2024)

Parametric Intrusive Reduced Order Models enhanced with Machine Learning Correction Terms. - Anna Ivagnes; Giovanni Stabile; Gianluigi Rozza (CoRR, 2024)

A time-adaptive algorithm for pressure dominated flows: a heuristic estimator. - Ivan Prusak; Davide Torlo; Monica Nonino; Gianluigi Rozza (CoRR, 2024)

On the accuracy and efficiency of reduced order models: towards real-world applications. - Pierfrancesco Siena; Pasquale Claudio Africa; Michele Girfoglio; Gianluigi Rozza (CoRR, 2024)

Non-intrusive model reduction of advection-dominated hyperbolic problems using neural network shift augmented manifold transformations. - Harshith Gowrachari; Nicola Demo; Giovanni Stabile; Gianluigi Rozza (CoRR, 2024)

Data-driven reduced order modeling of a two-layer quasi-geostrophic ocean model. - Lander Besabe; Michele Girfoglio; Annalisa Quaini; Gianluigi Rozza (CoRR, 2024)

Jacobi convolution polynomial for Petrov-Galerkin scheme and general fractional calculus of arbitrary order over finite interval. - Pavan Pranjivan Mehta; Gianluigi Rozza (CoRR, 2024)

Data-driven parameterization refinement for the structural optimization of cruise ship hulls. - Lorenzo Fabris; Marco Tezzele; Ciro Busiello; Mauro Sicchiero; Gianluigi Rozza (CoRR, 2024)

Stochastic Parameter Prediction in Cardiovascular Problems. - Kabir Bakhshaei; Sajad Salavatidezfouli; Giovanni Stabile; Gianluigi Rozza (CoRR, 2024)

Geometrically parametrised reduced order models for studying the hysteresis of the Coanda effect in finite element-based incompressible fluid dynamics. - Jose Raul Bravo; Giovanni Stabile; Markus Hess; J. A. Hernandez; Riccardo Rossi; Gianluigi Rozza (J. Comput. Phys., 2024)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2024)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2024)

Preface. - Francesco Piccialli; Gianluigi Rozza; Giovanni Stabile (Comput. Math. Appl., 2024)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2024)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2024)

A Local Approach to Parameter Space Reduction for Regression and Classification Tasks. - Francesco Romor; Marco Tezzele; Gianluigi Rozza (J. Sci. Comput., 2024)

Mathematical modelling and computational reduction of molten glass fluid flow in a furnace melting basin. - Francesco Ballarin; Enrique Delgado Ávila; Andrea Mola; Gianluigi Rozza (Comput. Appl. Math., 2024)

Large-scale graph-machine-learning surrogate models for 3D-flowfield prediction in external aerodynamics. - Davide Roznowicz; Giovanni Stabile; Nicola Demo; Davide Fransos; Gianluigi Rozza (Adv. Model. Simul. Eng. Sci., 2024)

KD-AHOSVD: Neural Network Compression via Knowledge Distillation and Tensor Decomposition. - Laura Meneghetti; Edoardo Bianchi; Nicola Demo; Gianluigi Rozza (DASIP, 2025)

Linear and nonlinear filtering for a two-layer quasi-geostrophic ocean model. - Lander Besabe; Michele Girfoglio; Annalisa Quaini; Gianluigi Rozza (Appl. Math. Comput., 2025)

Physics informed neural network framework for unsteady discretized reduced order system. - Rahul Halder; Giovanni Stabile; Gianluigi Rozza (Comput. Math. Appl., 2025)

A hybrid reduced-order model for segregated fluid-structure interaction solvers in an ALE approach at high Reynolds number. - Valentin Nkana Ngan; Giovanni Stabile; Andrea Mola; Gianluigi Rozza (Comput. Math. Appl., 2025)

Projection-based reduced order modelling for unsteady parametrized optimal control problems in 3D cardiovascular flows. - Surabhi Rathore; Pasquale Claudio Africa; Francesco Ballarin; Federico Pichi; Michele Girfoglio; Gianluigi Rozza (Comput. Methods Programs Biomed., 2025)

Mesh-informed Reduced Order Models for aneurysm rupture risk prediction. - Giuseppe Alessio D'Inverno; Saeid Moradizadeh; Sajad Salavatidezfouli; Pasquale Claudio Africa; Gianluigi Rozza (J. Comput. Appl. Math., 2025)

Data-driven discovery of delay differential equations with discrete delays. - Alessandro Pecile; Nicola Demo; Marco Tezzele; Gianluigi Rozza; Dimitri Breda (J. Comput. Appl. Math., 2025)

Optimal transport-based displacement interpolation with data augmentation for reduced order modeling of nonlinear dynamical systems. - Moaad Khamlich; Federico Pichi; Michele Girfoglio; Annalisa Quaini; Gianluigi Rozza (J. Comput. Phys., 2025)

Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations. - Francesco Romor; Giovanni Stabile; Gianluigi Rozza (J. Comput. Phys., 2025)

Friedrichs' systems discretized with the DGM: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions. - Francesco Romor; Davide Torlo; Gianluigi Rozza (J. Comput. Phys., 2025)

Optimal Transport-Inspired Deep Learning Framework for Slow-Decaying Kolmogorov ({n} )-Width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel. - Moaad Khamlich; Federico Pichi; Gianluigi Rozza (SIAM J. Sci. Comput., 2025)

A Streamline Upwind Petrov-Galerkin Reduced Order Method for Advection-Dominated Partial Differential Equations Under Optimal Control. - Fabio Zoccolan; Maria Strazzullo; Gianluigi Rozza (Comput. Methods Appl. Math., 2025)

Model Reduction for Transport-Dominated Problems via Cross-Correlation Based Snapshot Registration. - Harshith Gowrachari; Giovanni Stabile; Gianluigi Rozza (CoRR, 2025)

Data-driven Optimization for the Evolve-Filter-Relax regularization of convection-dominated flows. - Anna Ivagnes; Maria Strazzullo; Michele Girfoglio; Traian Iliescu; Gianluigi Rozza (CoRR, 2025)

Nonlinear reduction strategies for data compression: a comprehensive comparison from diffusion to advection problems. - Isabella Carla Gonnella; Federico Pichi; Gianluigi Rozza (CoRR, 2025)

A hybrid Reduced Order Model to enforce outflow pressure boundary conditions in computational haemodynamics. - Pierfrancesco Siena; Pasquale Claudio Africa; Michele Girfoglio; Gianluigi Rozza (CoRR, 2025)

BARNN: A Bayesian Autoregressive and Recurrent Neural Network. - Dario Coscia; Max Welling; Nicola Demo; Gianluigi Rozza (CoRR, 2025)

Sparse Identification for bifurcating phenomena in Computational Fluid Dynamics. - Lorenzo Tomada; Moaad Khamlich; Federico Pichi; Gianluigi Rozza (CoRR, 2025)

Stabilized weighted reduced order methods for parametrized advection-dominated optimal control problems governed by partial differential equations with random inputs. - Fabio Zoccolan; Maria Strazzullo; Gianluigi Rozza (J. Num. Math., 2025)

On the choice of proper outlet boundary conditions for numerical simulation of cardiovascular flows. - Zahra Mirzaiyan; Michele Girfoglio; Gianluigi Rozza (CoRR, 2025)

Combining Extended Convolutional Autoencoders and Reservoir Computing for Accurate Reduced-Order Predictions of Atmospheric Flows. - Arash Hajisharifi; Michele Girfoglio; Annalisa Quaini; Gianluigi Rozza (CoRR, 2025)

Randomized Proper Orthogonal Decomposition for data-driven reduced order modeling of a two-layer quasi-geostrophic ocean model. - Lander Besabe; Michele Girfoglio; Annalisa Quaini; Gianluigi Rozza (CoRR, 2025)

Data-driven Closure Strategies for Parametrized Reduced Order Models via Deep Operator Networks. - Anna Ivagnes; Giovanni Stabile; Gianluigi Rozza (CoRR, 2025)

Generative Models for Parameter Space Reduction applied to Reduced Order Modelling. - Guglielmo Padula; Gianluigi Rozza (CoRR, 2025)

Machine Learning-based quadratic closures for non-intrusive Reduced Order Models. - Gabriele Codega; Anna Ivagnes; Nicola Demo; Gianluigi Rozza (CoRR, 2025)

Surrogate normal-forms for the numerical bifurcation and stability analysis of navier-stokes flows via machine learning. - Alessandro Della Pia; Dimitrios G. Patsatzis; Gianluigi Rozza; Lucia Russo; Constantinos I. Siettos (CoRR, 2025)

A new data-driven energy-stable Evolve-Filter-Relax model for turbulent flow simulation. - Anna Ivagnes; Toby van Gastelen; Syver Døving Agdestein; Benjamin Sanderse; Giovanni Stabile; Gianluigi Rozza (CoRR, 2025)

Efficient Numerical Strategies for Entropy-Regularized Semi-Discrete Optimal Transport. - Moaad Khamlich; Francesco Romor; Gianluigi Rozza (CoRR, 2025)

Revisiting Deep Information Propagation: Fractal Frontier and Finite-size Effects. - Giuseppe Alessio D'Inverno; Zhiyuan Hu; Leo Davy; Michael Unser; Gianluigi Rozza; Jonathan Dong (CoRR, 2025)

Stabilized POD reduced order models for convection-dominated incompressible flows. - Pierfrancesco Siena; Michele Girfoglio; Annalisa Quaini; Gianluigi Rozza (Comput. Appl. Math., 2025)

A segregated reduced-order model of a pressure-based solver for turbulent compressible flows. - Matteo Zancanaro; Valentin Nkana Ngan; Giovanni Stabile; Gianluigi Rozza (Adv. Model. Simul. Eng. Sci., 2025)