Gianluigi Rozza
Orcid: 0000-0002-0810-8812Affiliations:
- International School for Advanced Studies (SISSA), Mathematics Area, Trieste, Italy
According to our database1,
Gianluigi Rozza
authored at least 172 papers
between 2005 and 2024.
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on scopus.com
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on orcid.org
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on id.loc.gov
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Bibliography
2024
Large-scale graph-machine-learning surrogate models for 3D-flowfield prediction in external aerodynamics.
Adv. Model. Simul. Eng. Sci., December, 2024
A LSTM-enhanced surrogate model to simulate the dynamics of particle-laden fluid systems.
CoRR, 2024
Enhancing non-intrusive Reduced Order Models with space-dependent aggregation methods.
CoRR, 2024
Optimized Bayesian Framework for Inverse Heat Transfer Problems Using Reduced Order Methods.
CoRR, 2024
A Predictive Surrogate Model for Heat Transfer of an Impinging Jet on a Concave Surface.
CoRR, 2024
Optimisation-Based Coupling of Finite Element Model and Reduced Order Model for Computational Fluid Dynamics.
CoRR, 2024
2023
An optimisation-based domain-decomposition reduced order model for the incompressible Navier-Stokes equations.
Comput. Math. Appl., December, 2023
Adv. Model. Simul. Eng. Sci., December, 2023
A two-stage deep learning architecture for model reduction of parametric time-dependent problems.
Comput. Math. Appl., November, 2023
A non-intrusive data-driven reduced order model for parametrized CFD-DEM numerical simulations.
J. Comput. Phys., October, 2023
Appl. Intell., October, 2023
A Dynamic Mode Decomposition Extension for the Forecasting of Parametric Dynamical Systems.
SIAM J. Appl. Dyn. Syst., September, 2023
Appl. Math. Comput., July, 2023
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., April, 2023
A data-driven surrogate modeling approach for time-dependent incompressible Navier-Stokes equations with dynamic mode decomposition and manifold interpolation.
Adv. Comput. Math., April, 2023
J. Comput. Phys., March, 2023
Non-linear Manifold Reduced-Order Models with Convolutional Autoencoders and Reduced Over-Collocation Method.
J. Sci. Comput., February, 2023
Data-Driven Reduced Order Modelling for Patient-Specific Hemodynamics of Coronary Artery Bypass Grafts with Physical and Geometrical Parameters.
J. Sci. Comput., 2023
Projection Based Semi-Implicit Partitioned Reduced Basis Method for Fluid-Structure Interaction Problems.
J. Sci. Comput., 2023
A hybrid projection/data-driven reduced order model for the Navier-Stokes equations with nonlinear filtering stabilization.
J. Comput. Phys., 2023
A novel Large Eddy Simulation model for the Quasi-Geostrophic equations in a Finite Volume setting.
J. Comput. Appl. Math., 2023
Physics Informed Neural Network Framework for Unsteady Discretized Reduced Order System.
CoRR, 2023
Modal Analysis of the Wake Shed Behind a Horizontal Axis Wind Turbine with Flexible Blades.
CoRR, 2023
Deep Reinforcement Learning for the Heat Transfer Control of Pulsating Impinging Jets.
CoRR, 2023
Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel.
CoRR, 2023
Generative Models for the Deformation of Industrial Shapes with Linear Geometric Constraints: model order and parameter space reductions.
CoRR, 2023
Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations.
CoRR, 2023
Friedrichs' systems discretized with the Discontinuous Galerkin method: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions.
CoRR, 2023
An optimisation-based domain-decomposition reduced order model for parameter-dependent non-stationary fluid dynamics problems.
CoRR, 2023
A reduced-order model for segregated fluid-structure interaction solvers based on an ALE approach.
CoRR, 2023
Filter stabilization for the mildly compressible Euler equations with application to atmosphere dynamics simulations.
CoRR, 2023
A shape optimization pipeline for marine propellers by means of reduced order modeling techniques.
CoRR, 2023
Applicable Methodologies for the Mass Transfer Phenomenon in Tumble Dryers: A Review.
CoRR, 2023
Model Order Reduction for Deforming Domain Problems in a Time-Continuous Space-Time Setting.
CoRR, 2023
Weighted reduced order methods for uncertainty quantification in computational fluid dynamics.
CoRR, 2023
A Graph-based Framework for Complex System Simulating and Diagnosis with Automatic Reconfiguration.
CoRR, 2023
A two stages Deep Learning Architecture for Model Reduction of Parametric Time-Dependent Problems.
CoRR, 2023
Stabilized Weighted Reduced Order Methods for Parametrized Advection-Dominated Optimal Control Problems governed by Partial Differential Equations with Random Inputs.
CoRR, 2023
A Streamline upwind Petrov-Galerkin Reduced Order Method for Advection-Dominated Partial Differential Equations under Optimal Control.
CoRR, 2023
An extended physics informed neural network for preliminary analysis of parametric optimal control problems.
Comput. Math. Appl., 2023
2022
J. Sci. Comput., 2022
Scientific Machine Learning Through Physics-Informed Neural Networks: Where we are and What's Next.
J. Sci. Comput., 2022
POD-Galerkin model order reduction for parametrized nonlinear time-dependent optimal flow control: an application to shallow water equations.
J. Num. Math., 2022
Assessment of URANS and LES Methods in Predicting Wake Shed Behind a Vertical Axis Wind Turbine.
CoRR, 2022
Non-intrusive reduced order models for the accurate prediction of bifurcating phenomena in compressible fluid dynamics.
CoRR, 2022
A linear filter regularization for POD-based reduced order models of the quasi-geostrophic equations.
CoRR, 2022
CoRR, 2022
A unified steady and unsteady formulation for hydrodynamic potential flow simulations with fully nonlinear free surface boundary conditions.
CoRR, 2022
Novel Methodologies for Solving the Inverse Unsteady Heat Transfer Problem of Estimating the Boundary Heat Flux in Continuous Casting Molds.
CoRR, 2022
A data-driven Reduced Order Method for parametric optimal blood flow control: application to coronary bypass graft.
CoRR, 2022
A multi-fidelity approach coupling parameter space reduction and non-intrusive POD with application to structural optimization of passenger ship hulls.
CoRR, 2022
A segregated reduced order model of a pressure-based solver for turbulent compressible flows.
CoRR, 2022
Non-linear manifold ROM with Convolutional Autoencoders and Reduced Over-Collocation method.
CoRR, 2022
Data-Driven Enhanced Model Reduction for Bifurcating Models in Computational Fluid Dynamics.
CoRR, 2022
Embedded domain Reduced Basis Models for the shallow water hyperbolic equations with the Shifted Boundary Method.
CoRR, 2022
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next.
CoRR, 2022
Reduced order modeling for spectral element methods: current developments in Nektar++ and further perspectives.
CoRR, 2022
Projection based semi-implicit partitioned Reduced Basis Method for non parametrized and parametrized Fluid-Structure Interaction problems.
CoRR, 2022
Model Reduction Using Sparse Polynomial Interpolation for the Incompressible Navier-Stokes Equations.
CoRR, 2022
Fast and accurate numerical simulations for the study of coronary artery bypass grafts by artificial neural network.
CoRR, 2022
A POD-Galerkin reduced order model for the Navier-Stokes equations in stream function-vorticity formulation.
CoRR, 2022
A Reduced Order Cut Finite Element method for geometrically parametrized steady and unsteady Navier-Stokes problems.
Comput. Math. Appl., 2022
A Proper Orthogonal Decomposition Approach for Parameters Reduction of Single Shot Detector Networks.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis.
Softw. Impacts, 2021
A Supervised Learning Approach Involving Active Subspaces for an Efficient Genetic Algorithm in High-Dimensional Optimization Problems.
SIAM J. Sci. Comput., 2021
Multiscale Model. Simul., 2021
A Reduced Order Model for a Stable Embedded Boundary Parametrized Cahn-Hilliard Phase-Field System Based on Cut Finite Elements.
J. Sci. Comput., 2021
J. Comput. Phys., 2021
A data-driven partitioned approach for the resolution of time-dependent optimal control problems with dynamic mode decomposition.
CoRR, 2021
Finite element based model order reduction for parametrized one-way coupled steady state linear thermomechanical problems.
CoRR, 2021
Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering.
CoRR, 2021
An efficient FV-based Virtual Boundary Method for the simulation of fluid-solid interaction.
CoRR, 2021
Model order reduction for bifurcating phenomena in Fluid-Structure Interaction problems.
CoRR, 2021
Consistency of the Full and Reduced Order Models for Evolve-Filter-Relax Regularization of Convection-Dominated, Marginally-Resolved Flows.
CoRR, 2021
An artificial neural network approach to bifurcating phenomena in computational fluid dynamics.
CoRR, 2021
The Neural Network shifted-Proper Orthogonal Decomposition: a Machine Learning Approach for Non-linear Reduction of Hyperbolic Equations.
CoRR, 2021
A local approach to parameter space reduction for regression and classification tasks.
CoRR, 2021
Hybrid neural network reduced order modelling for turbulent flows with geometric parameters.
CoRR, 2021
CoRR, 2021
An optimal control approach to determine resistance-type boundary conditions from in-vivo data for cardiovascular simulations.
CoRR, 2021
A monolithic and a partitioned Reduced Basis Method for Fluid-Structure Interaction problems.
CoRR, 2021
CoRR, 2021
A Certified Reduced Basis Method for Linear Parametrized Parabolic Optimal Control Problems in Space-Time Formulation.
CoRR, 2021
Fluid-structure interaction simulations with a LES filtering approach in solids4Foam.
CoRR, 2021
A numerical approach for heat flux estimation in thin slabs continuous casting molds using data assimilation.
CoRR, 2021
Hull shape design optimization with parameter space and model reductions, and self-learning mesh morphing.
CoRR, 2021
A weighted POD-reduction approach for parametrized PDE-constrained optimal control problems with random inputs and applications to environmental sciences.
Comput. Math. Appl., 2021
Efficient computation of bifurcation diagrams with a deflated approach to reduced basis spectral element method.
Adv. Comput. Math., 2021
2020
A Reduced Order Modeling Technique to Study Bifurcating Phenomena: Application to the Gross-Pitaevskii Equation.
SIAM J. Sci. Comput., 2020
POD-Galerkin Model Order Reduction for Parametrized Time Dependent Linear Quadratic Optimal Control Problems in Saddle Point Formulation.
J. Sci. Comput., 2020
J. Comput. Phys., 2020
Gaussian process approach within a data-driven POD framework for fluid dynamics engineering problems.
CoRR, 2020
CoRR, 2020
Driving bifurcating parametrized nonlinear PDEs by optimal control strategies: application to Navier-Stokes equations with model order reduction.
CoRR, 2020
Multi-fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces.
CoRR, 2020
A comparison of reduced-order modeling approaches for PDEs with bifurcating solutions.
CoRR, 2020
A Reduced Order Cut Finite Element method for geometrically parameterized steady and unsteady Navier-Stokes problems.
CoRR, 2020
Kernel-based Active Subspaces with application to CFD parametric problems using Discontinuous Galerkin method.
CoRR, 2020
Non-intrusive PODI-ROM for patient-specific aortic blood flow in presence of a LVAD device.
CoRR, 2020
On the comparison of LES data-driven reduced order approaches for hydroacoustic analysis.
CoRR, 2020
MicroROM: An Efficient and Accurate Reduced Order Method to Solve Many-Query Problems in Micro-Motility.
CoRR, 2020
An efficient computational framework for naval shape design and optimization problems by means of data-driven reduced order modeling techniques.
CoRR, 2020
Projection-based reduced order models for a cut finite element method in parametrized domains.
Comput. Math. Appl., 2020
POD-Galerkin reduced order methods for combined Navier-Stokes transport equations based on a hybrid FV-FE solver.
Comput. Math. Appl., 2020
Certified Reduced Basis VMS-Smagorinsky model for natural convection flow in a cavity with variable height.
Comput. Math. Appl., 2020
Stabilized reduced basis methods for parametrized steady Stokes and Navier-Stokes equations.
Comput. Math. Appl., 2020
Enhancing CFD predictions in shape design problems by model and parameter space reduction.
Adv. Model. Simul. Eng. Sci., 2020
2019
Reduced Basis Approaches for Parametrized Bifurcation Problems held by Non-linear Von Kármán Equations.
J. Sci. Comput., 2019
Extension and comparison of techniques to enforce boundary conditions in Finite Volume POD-Galerkin reduced order models for fluid dynamic problems.
CoRR, 2019
Basic Ideas and Tools for Projection-Based Model Reduction of Parametric Partial Differential Equations.
CoRR, 2019
Overcoming slowly decaying Kolmogorov n-width by transport maps: application to model order reduction of fluid dynamics and fluid-structure interaction problems.
CoRR, 2019
Reduced order methods for parametric optimal flow control in coronary bypass grafts, towards patient-specific data assimilation.
CoRR, 2019
A non-intrusive approach for proper orthogonal decomposition modal coefficients reconstruction through active subspaces.
CoRR, 2019
A Reduced-Order Shifted Boundary Method for Parametrized incompressible Navier-Stokes equations.
CoRR, 2019
A Reduced Order technique to study bifurcating phenomena: application to the Gross-Pitaevskii equation.
CoRR, 2019
CoRR, 2019
Efficient Reduction in Shape Parameter Space Dimension for Ship Propeller Blade Design.
CoRR, 2019
Adv. Comput. Math., 2019
Reduced Order Methods for Parametrized Non-linear and Time Dependent Optimal Flow Control Problems, Towards Applications in Biomedical and Environmental Sciences.
Proceedings of the Numerical Mathematics and Advanced Applications ENUMATH 2019 - European Conference, Egmond aan Zee, The Netherlands, September 30, 2019
Discontinuous Galerkin Model Order Reduction of Geometrically Parametrized Stokes Equation.
Proceedings of the Numerical Mathematics and Advanced Applications ENUMATH 2019 - European Conference, Egmond aan Zee, The Netherlands, September 30, 2019
2018
Model Reduction for Parametrized Optimal Control Problems in Environmental Marine Sciences and Engineering.
SIAM J. Sci. Comput., 2018
Stabilized Weighted Reduced Basis Methods for Parametrized Advection Dominated Problems with Random Inputs.
SIAM/ASA J. Uncertain. Quantification, 2018
Certified Reduced Basis Approximation for the Coupling of Viscous and Inviscid Parametrized Flow Models.
J. Sci. Comput., 2018
Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems.
Adv. Model. Simul. Eng. Sci., 2018
2017
SIAM J. Numer. Anal., 2017
SIAM/ASA J. Uncertain. Quantification, 2017
On the Application of Reduced Basis Methods to Bifurcation Problems in Incompressible Fluid Dynamics.
J. Sci. Comput., 2017
Computational reduction strategies for the detection of steady bifurcations in incompressible fluid-dynamics: Applications to Coanda effect in cardiology.
J. Comput. Phys., 2017
2016
Multilevel and weighted reduced basis method for stochastic optimal control problems constrained by Stokes equations.
Numerische Mathematik, 2016
Fast simulations of patient-specific haemodynamics of coronary artery bypass grafts based on a POD-Galerkin method and a vascular shape parametrization.
J. Comput. Phys., 2016
Reduced basis method and domain decomposition for elliptic problems in networks and complex parametrized geometries.
Comput. Math. Appl., 2016
Isogeometric analysis-based reduced order modelling for incompressible linear viscous flows in parametrized shapes.
Adv. Model. Simul. Eng. Sci., 2016
2015
Reduced basis approximation of parametrized optimal flow control problems for the Stokes equations.
Comput. Math. Appl., 2015
Reduced basis approximation and a-posteriori error estimation for the coupled Stokes-Darcy system.
Adv. Comput. Math., 2015
Model order reduction of parameterized systems (MoRePaS) - Preface to the special issue of advances in computational mathematics.
Adv. Comput. Math., 2015
2014
Comparison Between Reduced Basis and Stochastic Collocation Methods for Elliptic Problems.
J. Sci. Comput., 2014
Shape Optimization by Free-Form Deformation: Existence Results and Numerical Solution for Stokes Flows.
J. Sci. Comput., 2014
2013
SIAM J. Sci. Comput., 2013
A Weighted Reduced Basis Method for Elliptic Partial Differential Equations with Random Input Data.
SIAM J. Numer. Anal., 2013
Stochastic Optimal Robin Boundary Control Problems of Advection-Dominated Elliptic Equations.
SIAM J. Numer. Anal., 2013
Reduced basis approximation and a posteriori error estimation for Stokes flows in parametrized geometries: roles of the inf-sup stability constants.
Numerische Mathematik, 2013
Reduced Basis Approximation of Parametrized Advection-Diffusion PDEs with High Péclet Number.
Proceedings of the Numerical Mathematics and Advanced Applications - ENUMATH 2013, 2013
2012
A Reduced Basis Model with Parametric Coupling for Fluid-Structure Interaction Problems.
SIAM J. Sci. Comput., 2012
A Reduced-Order Strategy for Solving Inverse Bayesian Shape Identification Problems in Physiological Flows.
Proceedings of the Modeling, Simulation and Optimization of Complex Processes, 2012
2011
Proceedings of the System Modeling and Optimization, 2011
2009
Reduced basis method for multi-parameter-dependent steady Navier-Stokes equations: Applications to natural convection in a cavity.
J. Comput. Phys., 2009
2006
SIAM J. Numer. Anal., 2006
A Mathematical Approach in the Design of Arterial Bypass Using Unsteady Stokes Equations.
J. Sci. Comput., 2006
2005
Proceedings of the System Modeling and Optimization, 2005