Gianluigi Rozza

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 195

Top Venues

Publications

Guglielmo Padula, Michele Girfoglio, Gianluigi Rozza
A brief review of Reduced Order Models using intrusive and non-intrusive techniques. CoRR (2024)
Arash Hajisharifi, Rahul Halder, Michele Girfoglio, Andrea Beccari, Domenico Bonanni, Gianluigi Rozza
A LSTM-enhanced surrogate model to simulate the dynamics of particle-laden fluid systems. CoRR (2024)
Sajad Salavatidezfouli, Saeid Rakhsha, Armin Sheidani, Giovanni Stabile, Gianluigi Rozza
A Predictive Surrogate Model for Heat Transfer of an Impinging Jet on a Concave Surface. CoRR (2024)
Lander Besabe, Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza
Linear and nonlinear filtering for a two-layer quasi-geostrophic ocean model. CoRR (2024)
Valentin Nkana Ngan, Giovanni Stabile, Andrea Mola, Gianluigi Rozza
A hybrid reduced-order model for segregated fluid-structure interaction solvers in an ALE approach at high Reynolds number. CoRR (2024)
Isabella Carla Gonnella, Moaad Khamlich, Federico Pichi, Gianluigi Rozza
A stochastic perturbation approach to nonlinear bifurcating problems. CoRR (2024)
Sara M. Ichinaga, Francesco Andreuzzi, Nicola Demo, Marco Tezzele, Karl Lapo, Gianluigi Rozza, Steven L. Brunton, J. Nathan Kutz
PyDMD: A Python package for robust dynamic mode decomposition. CoRR (2024)
Pierfrancesco Siena, Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza
Stabilized POD Reduced Order Models for convection-dominated incompressible flows. CoRR (2024)
Francesco Piccialli, Gianluigi Rozza, Giovanni Stabile
Preface. Comput. Math. Appl. 155 (2024)
J. R. Bravo, Giovanni Stabile, Markus Hess, J. A. Hernandez, R. Rossi, Gianluigi Rozza
Geometrically parametrised reduced order models for studying the hysteresis of the Coanda effect in finite element-based incompressible fluid dynamics. J. Comput. Phys. 509 (2024)
Ivan Prusak, Davide Torlo, Monica Nonino, Gianluigi Rozza
Optimisation-Based Coupling of Finite Element Model and Reduced Order Model for Computational Fluid Dynamics. CoRR (2024)
Ivan Prusak, Davide Torlo, Monica Nonino, Gianluigi Rozza
An optimisation-based domain-decomposition reduced order model for parameter-dependent non-stationary fluid dynamics problems. Comput. Math. Appl. 166 (2024)
Pierfrancesco Siena, Paquale Claudio Africa, Michele Girfoglio, Gianluigi Rozza
On the accuracy and efficiency of reduced order models: towards real-world applications. CoRR (2024)
Kabir Bakhshaei, Umberto Emil Morelli, Giovanni Stabile, Gianluigi Rozza
Optimized Bayesian Framework for Inverse Heat Transfer Problems Using Reduced Order Methods. CoRR (2024)
Anna Ivagnes, Giovanni Stabile, Gianluigi Rozza
Parametric Intrusive Reduced Order Models enhanced with Machine Learning Correction Terms. CoRR (2024)
Nicola Clinco, Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza
Computational study of numerical flux schemes for mesoscale atmospheric flows in a Finite Volume framework. CoRR (2024)
Anna Ivagnes, Niccolò Tonicello, Paola Cinnella, Gianluigi Rozza
Enhancing non-intrusive Reduced Order Models with space-dependent aggregation methods. CoRR (2024)
Alessandro Pecile, Nicola Demo, Marco Tezzele, Gianluigi Rozza, Dimitri Breda
Data-driven Discovery of Delay Differential Equations with Discrete Delays. CoRR (2024)
Harshith Gowrachari, Nicola Demo, Giovanni Stabile, Gianluigi Rozza
Non-intrusive model reduction of advection-dominated hyperbolic problems using neural network shift augmented manifold transformations. CoRR (2024)
Ivan Prusak, Davide Torlo, Monica Nonino, Gianluigi Rozza
A time-adaptive algorithm for pressure dominated flows: a heuristic estimator. CoRR (2024)
Davide Roznowicz, Giovanni Stabile, Nicola Demo, Davide Fransos, Gianluigi Rozza
Large-scale graph-machine-learning surrogate models for 3D-flowfield prediction in external aerodynamics. Adv. Model. Simul. Eng. Sci. 11 (1) (2024)
Francesco Romor, Marco Tezzele, Gianluigi Rozza
A Local Approach to Parameter Space Reduction for Regression and Classification Tasks. J. Sci. Comput. 99 (3) (2024)
Nicola Demo, Marco Tezzele, Gianluigi Rozza
A DeepONet Multi-Fidelity Approach for Residual Learning in Reduced Order Modeling. CoRR (2023)
Sajad Salavatidezfouli, Giovanni Stabile, Gianluigi Rozza
Deep Reinforcement Learning for the Heat Transfer Control of Pulsating Impinging Jets. CoRR (2023)
Rahul Halder, Giovanni Stabile, Gianluigi Rozza
Physics Informed Neural Network Framework for Unsteady Discretized Reduced Order System. CoRR (2023)
Guglielmo Padula, Francesco Romor, Giovanni Stabile, Gianluigi Rozza
Generative Models for the Deformation of Industrial Shapes with Linear Geometric Constraints: model order and parameter space reductions. CoRR (2023)
Francesco Romor, Davide Torlo, Gianluigi Rozza
Friedrichs' systems discretized with the Discontinuous Galerkin method: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions. CoRR (2023)
Francesco Romor, Giovanni Stabile, Gianluigi Rozza
Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations. CoRR (2023)
Nicola Demo, Marco Tezzele, Gianluigi Rozza
A DeepONet multi-fidelity approach for residual learning in reduced order modeling. Adv. Model. Simul. Eng. Sci. 10 (1) (2023)
Dario Coscia, Nicola Demo, Gianluigi Rozza
Generative Adversarial Reduced Order Modelling. CoRR (2023)
Monica Nonino, Francesco Ballarin, Gianluigi Rozza, Yvon Maday
Projection Based Semi-Implicit Partitioned Reduced Basis Method for Fluid-Structure Interaction Problems. J. Sci. Comput. 94 (1) (2023)
Pierfrancesco Siena, Michele Girfoglio, Francesco Ballarin, Gianluigi Rozza
Data-Driven Reduced Order Modelling for Patient-Specific Hemodynamics of Coronary Artery Bypass Grafts with Physical and Geometrical Parameters. J. Sci. Comput. 94 (2) (2023)
Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza
A novel Large Eddy Simulation model for the Quasi-Geostrophic equations in a Finite Volume setting. J. Comput. Appl. Math. 418 (2023)
Moaad Khamlich, Giovanni Stabile, Gianluigi Rozza, László Környei, Zoltán Horváth
A physics-based reduced order model for urban air pollution prediction. CoRR (2023)
Fabio Zoccolan, Maria Strazzullo, Gianluigi Rozza
Stabilized Weighted Reduced Order Methods for Parametrized Advection-Dominated Optimal Control Problems governed by Partial Differential Equations with Random Inputs. CoRR (2023)
Fabian Key, Max von Danwitz, Francesco Ballarin, Gianluigi Rozza
Model Order Reduction for Deforming Domain Problems in a Time-Continuous Space-Time Setting. CoRR (2023)
Ivan Prusak, Monica Nonino, Davide Torlo, Francesco Ballarin, Gianluigi Rozza
An optimisation-based domain-decomposition reduced order model for the incompressible Navier-Stokes equations. Comput. Math. Appl. 151 (2023)
Isabella Carla Gonnella, Martin W. Hess, Giovanni Stabile, Gianluigi Rozza
A two stages Deep Learning Architecture for Model Reduction of Parametric Time-Dependent Problems. CoRR (2023)
Arash Hajisharifi, Francesco Romano, Michele Girfoglio, Andrea Beccari, Domenico Bonari, Gianluigi Rozza
A Non-Intrusive Data-Driven Reduced Order Model for Parametrized CFD-DEM Numerical Simulations. CoRR (2023)
Julien Genovese, Francesco Ballarin, Gianluigi Rozza, Claudio Canuto
Weighted reduced order methods for uncertainty quantification in computational fluid dynamics. CoRR (2023)
Isabella Carla Gonnella, Martin W. Hess, Giovanni Stabile, Gianluigi Rozza
A two-stage deep learning architecture for model reduction of parametric time-dependent problems. Comput. Math. Appl. 149 (2023)
Dario Coscia, Anna Ivagnes, Nicola Demo, Gianluigi Rozza
Physics-Informed Neural networks for Advanced modeling. J. Open Source Softw. 8 (87) (2023)
Valentin Nkana Ngan, Giovanni Stabile, Andrea Mola, Gianluigi Rozza
A reduced-order model for segregated fluid-structure interaction solvers based on an ALE approach. CoRR (2023)
Sajad Salavatidezfouli, Arash Hajisharifi, Michele Girfoglio, Giovanni Stabile, Gianluigi Rozza
Applicable Methodologies for the Mass Transfer Phenomenon in Tumble Dryers: A Review. CoRR (2023)
Anna Ivagnes, Giovanni Stabile, Andrea Mola, Traian Iliescu, Gianluigi Rozza
Pressure data-driven variational multiscale reduced order models. J. Comput. Phys. 476 (2023)
Anna Ivagnes, Nicola Demo, Gianluigi Rozza
A shape optimization pipeline for marine propellers by means of reduced order modeling techniques. CoRR (2023)
Arash Hajisharifi, Francesco Romano, Michele Girfoglio, Andrea Beccari, Domenico Bonanni, Gianluigi Rozza
A non-intrusive data-driven reduced order model for parametrized CFD-DEM numerical simulations. J. Comput. Phys. 491 (2023)
Efthymios N. Karatzas, Giovanni Stabile, Francesco Ballarin, Gianluigi Rozza
Reduced Basis, Embedded Methods and Parametrized Levelset Geometry. CoRR (2023)
Martina Teruzzi, Nicola Demo, Gianluigi Rozza
A Graph-based Framework for Complex System Simulating and Diagnosis with Automatic Reconfiguration. CoRR (2023)
Nicola Demo, Maria Strazzullo, Gianluigi Rozza
An extended physics informed neural network for preliminary analysis of parametric optimal control problems. Comput. Math. Appl. 143 (2023)
Francesco Romor, Giovanni Stabile, Gianluigi Rozza
Non-linear Manifold Reduced-Order Models with Convolutional Autoencoders and Reduced Over-Collocation Method. J. Sci. Comput. 94 (3) (2023)
Nicola Clinco, Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza
Filter stabilization for the mildly compressible Euler equations with application to atmosphere dynamics simulations. CoRR (2023)
Moaad Khamlich, Federico Pichi, Gianluigi Rozza
Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel. CoRR (2023)
Federico Pichi, Gianluigi Rozza
Reduced order models for the buckling of hyperelastic beams. CoRR (2023)
Martin W. Hess, Annalisa Quaini, Gianluigi Rozza
A data-driven surrogate modeling approach for time-dependent incompressible Navier-Stokes equations with dynamic mode decomposition and manifold interpolation. Adv. Comput. Math. 49 (2) (2023)
Fabio Zoccolan, Maria Strazzullo, Gianluigi Rozza
A Streamline upwind Petrov-Galerkin Reduced Order Method for Advection-Dominated Partial Differential Equations under Optimal Control. CoRR (2023)
Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza
A hybrid projection/data-driven reduced order model for the Navier-Stokes equations with nonlinear filtering stabilization. J. Comput. Phys. 486 (2023)
Anna Ivagnes, Nicola Demo, Gianluigi Rozza
Towards a Machine Learning Pipeline in Reduced Order Modelling for Inverse Problems: Neural Networks for Boundary Parametrization, Dimensionality Reduction and Solution Manifold Approximation. J. Sci. Comput. 95 (1) (2023)
Francesco Andreuzzi, Nicola Demo, Gianluigi Rozza
A Dynamic Mode Decomposition Extension for the Forecasting of Parametric Dynamical Systems. SIAM J. Appl. Dyn. Syst. 22 (3) (2023)
Ivan Prusak, Davide Torlo, Monica Nonino, Gianluigi Rozza
An optimisation-based domain-decomposition reduced order model for parameter-dependent non-stationary fluid dynamics problems. CoRR (2023)
Laura Meneghetti, Nicola Demo, Gianluigi Rozza
A dimensionality reduction approach for convolutional neural networks. Appl. Intell. 53 (19) (2023)
Anna Ivagnes, Giovanni Stabile, Andrea Mola, Traian Iliescu, Gianluigi Rozza
Hybrid data-driven closure strategies for reduced order modeling. Appl. Math. Comput. 448 (2023)
Sajad Salavatidezfouli, Armin Sheidani, Kabir Bakhshaei, Ali Safari, Arash Hajisharifi, Giovanni Stabile, Gianluigi Rozza
Modal Analysis of the Wake Shed Behind a Horizontal Axis Wind Turbine with Flexible Blades. CoRR (2023)
Pierfrancesco Siena, Michele Girfoglio, Gianluigi Rozza
An introduction to POD-Greedy-Galerkin reduced basis method. CoRR (2022)
Monica Nonino, Francesco Ballarin, Gianluigi Rozza, Yvon Maday
Projection based semi-implicit partitioned Reduced Basis Method for non parametrized and parametrized Fluid-Structure Interaction problems. CoRR (2022)
Caterina Balzotti, Pierfrancesco Siena, Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza
A data-driven Reduced Order Method for parametric optimal blood flow control: application to coronary bypass graft. CoRR (2022)
Matteo Zancanaro, Giovanni Stabile, Gianluigi Rozza
A segregated reduced order model of a pressure-based solver for turbulent compressible flows. CoRR (2022)
Laura Meneghetti, Nicola Demo, Gianluigi Rozza
A Proper Orthogonal Decomposition Approach for Parameters Reduction of Single Shot Detector Networks. ICIP (2022)
Andrea Mola, Nicola Giuliani, Óscar Crego, Gianluigi Rozza
A unified steady and unsteady formulation for hydrodynamic potential flow simulations with fully nonlinear free surface boundary conditions. CoRR (2022)
Niccolò Tonicello, Andrea Lario, Gianluigi Rozza, Gianmarco Mengaldo
Non-intrusive reduced order models for the accurate prediction of bifurcating phenomena in compressible fluid dynamics. CoRR (2022)
Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza
A linear filter regularization for POD-based reduced order models of the quasi-geostrophic equations. CoRR (2022)
Giulio Ortali, Alessandro Corbetta, Gianluigi Rozza, Federico Toschi
Towards a Numerical Proof of Turbulence Closure. CoRR (2022)
Marco Tezzele, Lorenzo Fabris, Matteo Sidari, Mauro Sicchiero, Gianluigi Rozza
A multi-fidelity approach coupling parameter space reduction and non-intrusive POD with application to structural optimization of passenger ship hulls. CoRR (2022)
Salvatore Cuomo, Vincenzo Schiano Di Cola, Fabio Giampaolo, Gianluigi Rozza, Maizar Raissi, Francesco Piccialli
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next. CoRR (2022)
Umberto Emil Morelli, Patricia Barral, Peregrina Quintela, Gianluigi Rozza, Giovanni Stabile
Novel Methodologies for Solving the Inverse Unsteady Heat Transfer Problem of Estimating the Boundary Heat Flux in Continuous Casting Molds. CoRR (2022)
Martin W. Hess, Annalisa Quaini, Gianluigi Rozza
Data-Driven Enhanced Model Reduction for Bifurcating Models in Computational Fluid Dynamics. CoRR (2022)
Laura Meneghetti, Nicola Demo, Gianluigi Rozza
A Proper Orthogonal Decomposition approach for parameters reduction of Single Shot Detector networks. CoRR (2022)
Martin W. Hess, Annalisa Quaini, Gianluigi Rozza
A Data-Driven Surrogate Modeling Approach for Time-Dependent Incompressible Navier-Stokes Equations with Dynamic Mode Decomposition and Manifold Interpolation. CoRR (2022)
Birgul Koc, Changhong Mou, Honghu Liu, Zhu Wang, Gianluigi Rozza, Traian Iliescu
Verifiability of the Data-Driven Variational Multiscale Reduced Order Model. J. Sci. Comput. 93 (2) (2022)
Dario Coscia, Laura Meneghetti, Nicola Demo, Giovanni Stabile, Gianluigi Rozza
A Continuous Convolutional Trainable Filter for Modelling Unstructured Data. CoRR (2022)
Salvatore Cuomo, Vincenzo Schiano Di Cola, Fabio Giampaolo, Gianluigi Rozza, Maziar Raissi, Francesco Piccialli
Scientific Machine Learning Through Physics-Informed Neural Networks: Where we are and What's Next. J. Sci. Comput. 92 (3) (2022)
Jan S. Hesthaven, Cecilia Pagliantini, Gianluigi Rozza
Reduced basis methods for time-dependent problems. Acta Numer. 31 (2022)
Martina Cracco, Giovanni Stabile, Andrea Lario, Martin Larcher, Folco Casadei, Georgios Valsamos, Gianluigi Rozza
Deep learning-based reduced-order methods for fast transient dynamics. CoRR (2022)
Ivan Prusak, Monica Nonino, Davide Torlo, Francesco Ballarin, Gianluigi Rozza
An optimisation-based domain-decomposition reduced order model for the incompressible Navier-Stokes equations. CoRR (2022)
Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza
A POD-Galerkin reduced order model for the Navier-Stokes equations in stream function-vorticity formulation. CoRR (2022)
Efthymios N. Karatzas, Monica Nonino, Francesco Ballarin, Gianluigi Rozza
A Reduced Order Cut Finite Element method for geometrically parametrized steady and unsteady Navier-Stokes problems. Comput. Math. Appl. 116 (2022)
Martin W. Hess, Andrea Lario, Gianmarco Mengaldo, Gianluigi Rozza
Reduced order modeling for spectral element methods: current developments in Nektar++ and further perspectives. CoRR (2022)
Andrea Lario, Romit Maulik, Oliver T. Schmidt, Gianluigi Rozza, Gianmarco Mengaldo
Neural-network learning of SPOD latent dynamics. J. Comput. Phys. 468 (2022)
Anna Ivagnes, Nicola Demo, Gianluigi Rozza
Towards a machine learning pipeline in reduced order modelling for inverse problems: neural networks for boundary parametrization, dimensionality reduction and solution manifold approximation. CoRR (2022)
Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza
A novel Large Eddy Simulation model for the Quasi-Geostrophic Equations in a Finite Volume setting. CoRR (2022)
Martin W. Hess, Gianluigi Rozza
Model Reduction Using Sparse Polynomial Interpolation for the Incompressible Navier-Stokes Equations. CoRR (2022)
Maria Strazzullo, Francesco Ballarin, Gianluigi Rozza
POD-Galerkin model order reduction for parametrized nonlinear time-dependent optimal flow control: an application to shallow water equations. J. Num. Math. 30 (1) (2022)
Anna Ivagnes, Giovanni Stabile, Andrea Mola, Traian Iliescu, Gianluigi Rozza
Hybrid Data-Driven Closure Strategies for Reduced Order Modeling. CoRR (2022)
Pierfrancesco Siena, Michele Girfoglio, Gianluigi Rozza
Fast and accurate numerical simulations for the study of coronary artery bypass grafts by artificial neural network. CoRR (2022)
Francesco Romor, Giovanni Stabile, Gianluigi Rozza
Non-linear manifold ROM with Convolutional Autoencoders and Reduced Over-Collocation method. CoRR (2022)
Xianyi Zeng, Giovanni Stabile, Efthymios N. Karatzas, Guglielmo Scovazzi, Gianluigi Rozza
Embedded domain Reduced Basis Models for the shallow water hyperbolic equations with the Shifted Boundary Method. CoRR (2022)
Anna Ivagnes, Giovanni Stabile, Andrea Mola, Traian Iliescu, Gianluigi Rozza
Pressure Data-Driven Variational Multiscale Reduced Order Models. CoRR (2022)
Armin Sheidani, Sajad Salavatidezfouli, Giovanni Stabile, Gianluigi Rozza
Assessment of URANS and LES Methods in Predicting Wake Shed Behind a Vertical Axis Wind Turbine. CoRR (2022)
Matteo Zancanaro, Francesco Ballarin, Simona Perotto, Gianluigi Rozza
Hierarchical Model Reduction Techniques for Flow Modeling in a Parametrized Setting. Multiscale Model. Simul. 19 (1) (2021)
Efthymios N. Karatzas, Gianluigi Rozza
A Reduced Order Model for a Stable Embedded Boundary Parametrized Cahn-Hilliard Phase-Field System Based on Cut Finite Elements. J. Sci. Comput. 89 (1) (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gianluigi Rozza