Gianluigi Rozza | Academic Influence

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Gianluigi Rozza

Mathematics

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#8844

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Applied Mathematics

#224

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#247

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Measure Theory

#1438

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#1803

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Mathematics

Gianluigi Rozza's Degrees

PhD Mathematics University of Pavia
Masters Mathematics University of Pavia
Bachelors Mathematics University of Pavia

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Why Is Gianluigi Rozza Influential?

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According to Wikipedia, Gianluigi Rozza is an aerospace engineer and mathematician best known for his work on reduced-order modeling. He is currently full professor of Numerical Analysis at the International School for Advanced Studies in Trieste, where he serves as head of SISSA Mathematics Area and SISSA Director's Delegate for Research Valorisation, Innovation, and Industrial Cooperation.

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Gianluigi Rozza's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Reduced Basis Approximation and a Posteriori Error Estimation for Affinely Parametrized Elliptic Coercive Partial Differential Equations (2007) (886)
Certified Reduced Basis Methods for Parametrized Partial Differential Equations (2015) (805)
Reduced basis approximation and a posteriori error estimation for affinely parametrized elliptic coercive partial differential equations (2007) (481)
Reduced Order Methods for Modeling and Computational Reduction (2013) (307)
A Successive Constraint Linear Optimization Method for Lower Bounds of Parametric Coercivity and Inf-Sup Stability Constants (2007) (294)
Certified reduced basis approximation for parametrized partial differential equations and applications (2011) (275)
On the stability of the reduced basis method for Stokes equations in parametrized domains (2007) (267)
Model Order Reduction in Fluid Dynamics: Challenges and Perspectives (2014) (203)
Supremizer stabilization of POD–Galerkin approximation of parametrized steady incompressible Navier–Stokes equations (2015) (201)
Numerical solution of parametrized Navier–Stokes equations by reduced basis methods (2007) (151)
Reduced basis approximation and a posteriori error estimation for the time-dependent viscous Burgers’ equation (2009) (141)
Parametric free-form shape design with PDE models and reduced basis method (2010) (131)
Reduced basis approximation and a posteriori error estimation for Stokes flows in parametrized geometries: roles of the inf-sup stability constants (2013) (129)
Finite volume POD-Galerkin stabilised reduced order methods for the parametrised incompressible Navier–Stokes equations (2017) (129)
Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next (2022) (127)
Shape optimization for viscous flows by reduced basis methods and free‐form deformation (2012) (123)
Model Order Reduction (2015) (123)
Reduced Basis Method for Parametrized Elliptic Optimal Control Problems (2013) (113)
OPTIMAL CONTROL AND SHAPE OPTIMIZATION OF AORTO-CORONARIC BYPASS ANASTOMOSES (2003) (112)
POD-Galerkin method for finite volume approximation of Navier–Stokes and RANS equations (2016) (109)
A reduced computational and geometrical framework for inverse problems in hemodynamics (2013) (108)
Model reduction techniques for fast blood flow simulation in parametrized geometries (2012) (97)
Data-Driven POD-Galerkin Reduced Order Model for Turbulent Flows (2019) (97)
Reduced Basis Approximation and a Posteriori Error Estimation for Parametrized Parabolic PDEs: Application to Real‐Time Bayesian Parameter Estimation (2010) (91)
Reduced basis method for multi-parameter-dependent steady Navier-Stokes equations: Applications to natural convection in a cavity (2009) (87)
POD-Galerkin reduced order methods for CFD using Finite Volume Discretisation: vortex shedding around a circular cylinder (2017) (86)
Fast simulations of patient-specific haemodynamics of coronary artery bypass grafts based on a POD-Galerkin method and a vascular shape parametrization (2016) (84)
Model Reduction of Parametrized Systems (2017) (80)
A Weighted Reduced Basis Method for Elliptic Partial Differential Equations with Random Input Data (2013) (77)
Simulation‐based uncertainty quantification of human arterial network hemodynamics (2013) (76)
Comparison Between Reduced Basis and Stochastic Collocation Methods for Elliptic Problems (2014) (75)
A reduced basis hybrid method for the coupling of parametrized domains represented by fluidic networks (2012) (75)
Shape design by optimal flow control and reduced basis techniques (2005) (67)
Reduced basis approximation of parametrized optimal flow control problems for the Stokes equations (2015) (65)
A Reduced Basis Method for Evolution Schemes with Parameter-Dependent Explicit Operators (2008) (65)
Reduced basis methods for Stokes equations in domains with non-affine parameter dependence (2009) (62)
On optimization, control and shape design of an arterial bypass (2005) (60)
A reduced order variational multiscale approach for turbulent flows (2018) (58)
PyDMD: Python Dynamic Mode Decomposition (2018) (53)
Multilevel and weighted reduced basis method for stochastic optimal control problems constrained by Stokes equations (2016) (53)
Shape Design in Aorto-Coronaric Bypass Anastomoses Using Perturbation Theory (2006) (51)
Free-form deformation, mesh morphing and reduced-order methods: enablers for efficient aerodynamic shape optimisation (2018) (51)
Numerical Simulation of Sailing Boats: Dynamics, FSI, and Shape Optimization (2012) (50)
Stabilized reduced basis method for parametrized advection-diffusion PDEs (2014) (49)
POD–Galerkin monolithic reduced order models for parametrized fluid‐structure interaction problems (2016) (49)
Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems (2017) (48)
Stochastic Optimal Robin Boundary Control Problems of Advection-Dominated Elliptic Equations (2013) (48)
Reduced basis approximation and a-posteriori error estimation for the coupled Stokes-Darcy system (2015) (47)
Modeling of physiological flows (2012) (47)
Computational Reduction for Parametrized PDEs: Strategies and Applications (2012) (46)
Reduced basis method for linear elasticity problems with many parameters (2008) (45)
A Mathematical Approach in the Design of Arterial Bypass Using Unsteady Stokes Equations (2006) (44)
Reduced Basis Methods for Uncertainty Quantification (2017) (44)
Reduced basis method and domain decomposition for elliptic problems in networks and complex parametrized geometries (2016) (43)
Reduced-basis methods for elliptic equations in sub-domains with a posteriori error bounds and adaptivity (2005) (42)
Computational reduction strategies for the detection of steady bifurcations in incompressible fluid-dynamics: Applications to Coanda effect in cardiology (2017) (41)
A Reduced Basis Model with Parametric Coupling for Fluid-Structure Interaction Problems (2012) (40)
Comparison of a Modal Method and a Proper Orthogonal Decomposition approach for multi-group time-dependent reactor spatial kinetics (2014) (40)
Boundary control and shape optimization for the robust design of bypass anastomoses under uncertainty (2013) (40)
A weighted empirical interpolation method: a priori convergence analysis and applications (2014) (40)
Efficient geometrical parametrisation techniques of interfaces for reduced-order modelling: application to fluid–structure interaction coupling problems (2014) (39)
Reduced basis methods for optimal control of advection-diffusion problems ∗ (2007) (38)
Reduced basis approximation and error bounds for potential flows in parametrized geometries (2011) (38)
A POD‐selective inverse distance weighting method for fast parametrized shape morphing (2017) (38)
Advances in reduced order methods for parametric industrial problems in computational fluid dynamics (2018) (38)
RBniCS - reduced order modelling in FEniCS (2015) (38)
Numerical modeling of hemodynamics scenarios of patient-specific coronary artery bypass grafts (2017) (38)
On a Certified Smagorinsky Reduced Basis Turbulence Model (2017) (37)
Shape Optimization by Free-Form Deformation: Existence Results and Numerical Solution for Stokes Flows (2014) (37)
Combined Parameter and Model Reduction of Cardiovascular Problems by Means of Active Subspaces and POD-Galerkin Methods (2017) (34)
Model Reduction for Parametrized Optimal Control Problems in Environmental Marine Sciences and Engineering (2017) (34)
On the Application of Reduced Basis Methods to Bifurcation Problems in Incompressible Fluid Dynamics (2017) (33)
A localized reduced-order modeling approach for PDEs with bifurcating solutions (2018) (33)
Parametric POD-Galerkin Model Order Reduction for Unsteady-State Heat Transfer Problems (2018) (31)
Generalized Reduced Basis Methods and n-Width Estimates for the Approximation of the Solution Manifold of Parametric PDEs (2013) (31)
Shape Optimization by means of Proper Orthogonal Decomposition and Dynamic Mode Decomposition (2018) (31)
Fundamentals of reduced basis method for problems governed by parametrized PDEs and applications (2014) (31)
Projection-based reduced order models for a cut finite element method in parametrized domains (2019) (31)
Generalized Reduced Basis Methods and n-Width Estimates for the Approximation of the Solution Manifold of Parametric PDEs (2013) (31)
EZyRB: Easy Reduced Basis method (2018) (30)
Reduced Basis Approximation for Shape Optimization in Thermal Flows with a Parametrized Polynomial Geometric Map (2010) (29)
Numerical Approximation of a Control Problem for Advection-Diffusion Processes (2005) (29)
A reduced basis approach for PDEs on parametrized geometries based on the shifted boundary finite element method and application to a Stokes flow (2018) (28)
Overcoming slowly decaying Kolmogorov n-width by transport maps: application to model order reduction of fluid dynamics and fluid-structure interaction problems (2019) (28)
Advances in geometrical parametrization and reduced order models and methods for computational fluid dynamics problems in applied sciences and engineering: overview and perspectives (2016) (27)
Efficient geometrical parametrization for finite‐volume‐based reduced order methods (2019) (26)
The Neural Network shifted-Proper Orthogonal Decomposition: a Machine Learning Approach for Non-linear Reduction of Hyperbolic Equations (2021) (25)
Enhancing CFD predictions in shape design problems by model and parameter space reduction (2020) (25)
A reduced order model for investigating the dynamics of the Gen-IV LFR coolant pool (2017) (25)
The Effort of Increasing Reynolds Number in Projection-Based Reduced Order Methods: From Laminar to Turbulent Flows (2018) (25)
Stabilized reduced basis methods for parametrized steady Stokes and Navier-Stokes equations (2020) (25)
Real-Time Reliable Simulation of Heat Transfer Phenomena (2009) (24)
ON THE APPROXIMATION OF STABILITY FACTORS FOR GENERAL PARAMETRIZED PARTIAL DIFFERENTIAL EQUATIONS WITH A TWO-LEVEL AFFINE DECOMPOSITION (2012) (24)
A Hybrid Reduced Order Method for Modelling Turbulent Heat Transfer Problems (2019) (24)
Reduction strategies for PDE-constrained oprimization problems in Haemodynamics (2013) (24)
An integrated data-driven computational pipeline with model order reduction for industrial and applied mathematics (2018) (24)
Free Form Deformation Techniques Applied to 3D Shape Optimization Problems (2013) (23)
A POD-Galerkin reduced order model for a LES filtering approach (2020) (23)
Stabilized Weighted Reduced Basis Methods for Parametrized Advection Dominated Problems with Random Inputs (2017) (23)
Isogeometric analysis-based reduced order modelling for incompressible linear viscous flows in parametrized shapes (2016) (23)
A multi-physics reduced order model for the analysis of Lead Fast Reactor single channel (2016) (23)
Reduced order methods for parametric optimal flow control in coronary bypass grafts, toward patient‐specific data assimilation (2019) (23)
A non-intrusive approach for the reconstruction of POD modal coefficients through active subspaces (2019) (22)
Model Order Reduction by means of Active Subspaces and Dynamic Mode Decomposition for Parametric Hull Shape Design Hydrodynamics (2018) (22)
Model Order Reduction by geometrical parametrization for shape optimization in computational fluid dynamics (2010) (21)
A Finite Volume approximation of the Navier-Stokes equations with nonlinear filtering stabilization (2019) (20)
POD–Galerkin Model Order Reduction for Parametrized Time Dependent Linear Quadratic Optimal Control Problems in Saddle Point Formulation (2019) (20)
Reduced Basis Approaches for Parametrized Bifurcation Problems held by Non-linear Von Kármán Equations (2018) (20)
A Weighted POD Method for Elliptic PDEs with Random Inputs (2018) (20)
POD-Galerkin reduced order methods for combined Navier-Stokes transport equations based on a hybrid FV-FE solver (2018) (19)
Reduced-order semi-implicit schemes for fluid-structure interaction problems (2017) (19)
A Reduced Basis Approach for Modeling the Movement of Nuclear Reactor Control Rods (2016) (19)
An efficient shape parametrisation by free-form deformation enhanced by active subspace for hull hydrodynamic ship design problems in open source environment (2018) (19)
A Reduced Order Approach for the Embedded Shifted Boundary FEM and a Heat Exchange System on Parametrized Geometries (2018) (19)
REDUCED BASIS METHODS AND A POSTERIORI ERROR ESTIMATORS FOR HEAT TRANSFER PROBLEMS (2009) (18)
Shape optimization through proper orthogonal decomposition with interpolation and dynamic mode decomposition enhanced by active subspaces (2019) (18)
Reduced Order Isogeometric Analysis Approach for PDEs in Parametrized Domains (2018) (17)
Reduced basis model order reduction for Navier–Stokes equations in domains with walls of varying curvature (2019) (17)
A supervised learning approach involving active subspaces for an efficient genetic algorithm in high-dimensional optimization problems (2020) (17)
Hull shape design optimization with parameter space and model reductions, and self-learning mesh morphing (2021) (17)
An improvement on geometrical parameterizations by transfinite maps (2014) (16)
Model Order Reduction: a survey (2016) (16)
An artificial neural network approach to bifurcating phenomena in computational fluid dynamics (2021) (16)
Basic Ideas and Tools for Projection-Based Model Reduction of Parametric Partial Differential Equations (2019) (15)
Parametrized Differential Equations (2016) (15)
Model reduction methods (2017) (15)
Reduced basis methods for time-dependent problems (2022) (15)
A Reduced-Order Shifted Boundary Method for Parametrized incompressible Navier-Stokes equations (2019) (15)
On computing upper and lower bounds on the outputs of linear elasticity problems approximated by the smoothed finite element method (2010) (15)
POD-Galerkin model order reduction for parametrized nonlinear time-dependent optimal flow control: an application to shallow water equations (2020) (15)
On the comparison of LES data-driven reduced order approaches for hydroacoustic analysis (2020) (14)
Non-linear manifold ROM with Convolutional Autoencoders and Reduced Over-Collocation method (2022) (14)
Real time reduced basis techniques for arterial bypass geometries (2005) (14)
A POD-Galerkin reduced order model of a turbulent convective buoyant flow of sodium over a backward-facing step (2020) (13)
Efficient computation of bifurcation diagrams with a deflated approach to reduced basis spectral element method (2019) (13)
A Reduced-Order Strategy for Solving Inverse Bayesian Shape Identification Problems in Physiological Flows (2012) (13)
Reduced order methods for parametrized non-linear and time dependent optimal flow control problems, towards applications in biomedical and environmental sciences (2019) (13)
A weighted POD-reduction approach for parametrized PDE-constrained Optimal Control Problems with random inputs and applications to environmental sciences (2021) (13)
A Spectral Element Reduced Basis Method for Navier–Stokes Equations with Geometric Variations (2018) (12)
PyGeM: Python Geometrical Morphing (2021) (12)
Driving bifurcating parametrized nonlinear PDEs by optimal control strategies: application to Navier-Stokes equations with model order reduction (2020) (12)
A monolithic and a partitioned Reduced Basis Method for Fluid-Structure Interaction problems (2021) (12)
Reduced order methods for uncertainty quantification problems (2015) (12)
A Spectral Element Reduced Basis Method in Parametric CFD (2017) (12)
Non-intrusive data-driven ROM framework for hemodynamics problems (2020) (12)
Gaussian process approach within a data-driven POD framework for fluid dynamics engineering problems (2020) (11)
Comparison and combination of reduced-order modelling techniques in 3D parametrized heat transfer problems (2011) (11)
A complete data-driven framework for the efficient solution of parametric shape design and optimisation in naval engineering problems. (2019) (11)
An efficient computational framework for naval shape design and optimization problems by means of data-driven reduced order modeling techniques (2020) (11)
A Reduced Order Model for Multi-Group Time-Dependent Parametrized Reactor Spatial Kinetics (2014) (11)
An extended physics informed neural network for preliminary analysis of parametric optimal control problems (2021) (10)
Certified Reduced Basis Approximation for the Coupling of Viscous and Inviscid Parametrized Flow Models (2018) (10)
Fluid-structure interaction simulations with a LES filtering approach in solids4Foam (2021) (10)
Consistency of the full and reduced order models for evolve‐filter‐relax regularization of convection‐dominated, marginally‐resolved flows (2021) (10)
Non-intrusive PODI-ROM for patient-specific aortic blood flow in presence of a LVAD device (2020) (10)
Kernel‐based active subspaces with application to computational fluid dynamics parametric problems using the discontinuous Galerkin method (2020) (10)
ATHENA: Advanced Techniques for High Dimensional Parameter Spaces to Enhance Numerical Analysis (2021) (10)
Efficient Reduction in Shape Parameter Space Dimension for Ship Propeller Blade Design (2019) (10)
Pressure stabilization strategies for a LES filtering Reduced Order Model (2021) (10)
An optimal control approach to determine resistance‐type boundary conditions from in‐vivo data for cardiovascular simulations (2021) (9)
A Reduced Order Model for a Stable Embedded Boundary Parametrized Cahn–Hilliard Phase-Field System Based on Cut Finite Elements (2020) (9)
A Reduced Order Modeling Technique to Study Bifurcating Phenomena: Application to the Gross-Pitaevskii Equation (2020) (9)
POD-Galerkin reduced order model of the Boussinesq approximation for buoyancy-driven enclosed flows (2019) (9)
Non-intrusive Polynomial Chaos Method Applied to Full-Order and Reduced Problems in Computational Fluid Dynamics: A Comparison and Perspectives (2019) (8)
Advances in Reduced order modelling for CFD: vortex shedding around a circular cylinder using a POD-Galerkin method (2017) (8)
Snapshot-Based Methods and Algorithms (2020) (8)
Supremizer stabilization of POD-Galerkin approximation of parametrized Navier-Stokes equations (2015) (8)
A non-intrusive approach for proper orthogonal decomposition modal coefficients reconstruction through active subspaces (2019) (7)
Weighted Reduced Order Methods for Parametrized Partial Differential Equations with Random Inputs (2018) (7)
A Gaussian Process Regression approach within a data-driven POD framework for engineering problems in fluid dynamics (2021) (7)
Reduced Basis Methods (2016) (7)
A Dimensionality Reduction Approach for Convolutional Neural Networks (2021) (7)
Certified Reduced Basis VMS-Smagorinsky model for natural convection flow in a cavity with variable height (2019) (7)
Finite element based model order reduction for parametrized one-way coupled steady state linear thermomechanical problems (2021) (6)
Neural-network learning of SPOD latent dynamics (2021) (6)
Reduced Basis Approximation of Parametrized Advection-Diffusion PDEs with High Péclet Number (2013) (6)
Reduced Order Methods: Applications to Nuclear Reactor Core Spatial Dynamics (2015) (6)
Model Reduction of Steady Fluid-Structure Interaction Problems with Free-Foem Deformations and Reduced Basis Methods (2009) (6)
Hybrid neural network reduced order modelling for turbulent flows with geometric parameters (2021) (6)
Extension and comparison of techniques to enforce boundary conditions in Finite Volume POD-Galerkin reduced order models for fluid dynamic problems (2019) (6)
A Certified Reduced Basis Method for Linear Parametrized Parabolic Optimal Control Problems in Space-Time Formulation (2021) (6)
Reduced basis method for the Stokes equations in decomposable domains using greedy optimization (2014) (6)
An introduction to reduced basis method for parametrized PDEs (2009) (6)
Verifiability of the Data-Driven Variational Multiscale Reduced Order Model (2021) (6)
Artificial neural network for bifurcating phenomena modelled by nonlinear parametrized PDEs (2021) (6)
A dynamic mode decomposition extension for the forecasting of parametric dynamical systems (2021) (5)
Reduced Basis Approaches in Time-Dependent Non-Coercive Settings for Modelling the Movement of Nuclear Reactor Control Rods (2016) (5)
Model order reduction for bifurcating phenomena in fluid‐structure interaction problems (2021) (5)
Reduction Strategies for Shape Dependent Inverse Problems in Haemodynamics (2011) (5)
Space-time POD-Galerkin approach for parametric flow control (2020) (5)
Model reduction of semiaffinely parameterized partial differential equations by two-level affine approximation (2011) (5)
A data-driven surrogate modeling approach for time-dependent incompressible Navier-Stokes equations with dynamic mode decomposition and manifold interpolation (2022) (5)
Real-time reduced basis techniques for Navier-Stokes equations: Optimization of parametrized bypass configurations (2006) (5)
A Reduced Order Cut Finite Element method for geometrically parameterized steady and unsteady Navier-Stokes problems (2020) (4)
Hierarchical Model Reduction Techniques for Flow Modeling in a Parametrized Setting (2019) (4)
Patient-specific haemodynamics of coronary artery bypass grafts: clinical imaging and reduced order models (2013) (4)
Multi‐fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces (2020) (4)
Fast and accurate numerical simulations for the study of coronary artery bypass grafts by artificial neural network (2022) (4)
A multifidelity approach coupling parameter space reduction and nonintrusive POD with application to structural optimization of passenger ship hulls (2022) (4)
A POD-Galerkin reduced order model for the Navier-Stokes equations in stream function-vorticity formulation (2022) (4)
A local approach to parameter space reduction for regression and classification tasks (2021) (4)
A numerical approach for heat flux estimation in thin slabs continuous casting molds using data assimilation (2021) (4)
Reduced order models for the incompressible Navier‐Stokes equations on collocated grids using a ‘discretize‐then‐project’ approach (2020) (4)
Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering (2021) (4)
Stabilized reduced basis method for parametrized scalar advection-diffusion problems at higher Peclet number: roles of the boundary layers and inner fronts (2014) (4)
Data-Driven Reduced Order Modelling for Patient-Specific Hemodynamics of Coronary Artery Bypass Grafts with Physical and Geometrical Parameters (2022) (4)
Embedded domain Reduced Basis Models for the shallow water hyperbolic equations with the Shifted Boundary Method (2022) (3)
Reduced Basis Approximation and A Posteriori Error Estimation: Applications to Elasticity Problems in Several Parametric Settings (2018) (3)
Finite element based Model Order Reduction for parametrized one-way coupled steady state linear thermo-mechanical problems (2022) (3)
A Reduced Order technique to study bifurcating phenomena: application to the Gross-Pitaevskii equation (2019) (3)
A combination between the reduced basis method and the ANOVA expansion: On the computation of sensitivity indices (2013) (3)
A novel iterative penalty method to enforce boundary conditions in Finite Volume POD-Galerkin reduced order models for fluid dynamics problems (2019) (3)
A novel Large Eddy Simulation model for the Quasi-Geostrophic Equations in a Finite Volume setting (2022) (3)
A comparison of reduced-order modeling approaches using artificial neural networks for PDEs with bifurcating solutions (2020) (3)
Reduced basis approximation and a posteriori error estimation for Stokes flows in parametrized geometries: roles of the inf-sup stability constants (2013) (3)
Reduced basis method for the Stokes equations in decomposable parametrized domains using greedy optimization (2014) (3)
Reduced formulation of a steady-fluid structure interaction problem with parametric coupling (2010) (3)
A Streamline upwind Petrov-Galerkin Reduced Order Method for Advection-Dominated Partial Differential Equations under Optimal Control (2023) (3)
Numerical modeling of hemodynamics scenarios of patient-specific coronary artery bypass grafts (2017) (3)
Non-linear Manifold Reduced-Order Models with Convolutional Autoencoders and Reduced Over-Collocation Method (2023) (3)
Certified Reduced Basis Method for Affinely Parametric Isogeometric Analysis NURBS Approximation (2017) (3)
A Hybrid Reduced Order Model for nonlinear LES filtering (2021) (3)
A Continuous Convolutional Trainable Filter for Modelling Unstructured Data (2022) (3)
Reports about 8 selected benchmark cases of model hierarchies (2018) (2)
Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems (2018) (2)
Towards a Machine Learning Pipeline in Reduced Order Modelling for Inverse Problems: Neural Networks for Boundary Parametrization, Dimensionality Reduction and Solution Manifold Approximation (2022) (2)
BladeX: Python Blade Morphing (2019) (2)
A Reduced basis stabilization for the unsteady Stokes and Navier-Stokes equations (2021) (2)
A linear filter regularization for POD-based reduced order models of the quasi-geostrophic equations (2022) (2)
Projection based semi-implicit partitioned Reduced Basis Method for non parametrized and parametrized Fluid-Structure Interaction problems (2022) (2)
Reduced order modeling for spectral element methods: current developments in Nektar++ and further perspectives (2022) (2)
Reduced Flow Model for Plastics Melt Inside an Extrusion Die (2021) (2)
An efficient computational framework for naval shape design and optimization problems by means of data-driven reduced order modeling techniques (2020) (2)
Model order reduction for nonlinear elasticity: applications of the reduced basis method to geometrical nonlinearity and finite deformation (2017) (2)
Computational reduction strategies for bifurcations and stability analysis in fluid-dynamics : applications to Coanda effect (2016) (2)
Stabilized Weighted Reduced Order Methods for Parametrized Advection-Dominated Optimal Control Problems governed by Partial Differential Equations with Random Inputs (2023) (2)
Model order reduction of parameterized systems (MoRePaS) (2015) (2)
Reduced basis method for parametrized optimal control problems (2012) (2)
Software-based representation of selected benchmark hierarchies equipped with publically available data (2020) (1)
Reduced basis (element) methods for the study of parametrized cardiovascular geometries and networks (2010) (1)
Pressure Data-Driven Variational Multiscale Reduced Order Models (2022) (1)
High-Order Isogeometric Methods for Compressible Flows II: Compressible Euler Equations (2018) (1)
A data-driven partitioned approach for the resolution of time-dependent optimal control problems with dynamic mode decomposition (2021) (1)
Deep learning-based reduced-order methods for fast transient dynamics (2022) (1)
Reduced order methods for parametric flow control problems and applications (2020) (1)
A Proper Orthogonal Decomposition Approach for Parameters Reduction of Single Shot Detector Networks (2022) (1)
Comparison Between Reduced Basis and Stochastic Collocation Methods for Elliptic Problems (2013) (1)
Certified Error Control (2016) (1)
Hybrid Data-Driven Closure Strategies for Reduced Order Modeling (2022) (1)
Recent advances on nonlinear Reduced Order Modelling for stability and bifurcations problems in incompressible fluid dynamics (2015) (1)
Comparison of reduced basis method and stochastic collocation method for parametric and stochastic elliptic problems (2012) (1)
Dimension reduction in heterogeneous parametric spaces (2017) (1)
Uncertainty quantification of human arterial network (2012) (1)
A data-driven Reduced Order Method for parametric optimal blood flow control: application to coronary bypass graft (2022) (1)
A comparison of reduced-order modeling approaches for PDEs with bifurcating solutions (2020) (1)
Model Reduction Using Sparse Polynomial Interpolation for the Incompressible Navier–Stokes Equations (2022) (1)
Isogeometric analysis based reduced order modelling for incompressible viscous flows in parametrized shapes: applications to underwater shape design (2015) (1)
Preface: Special Issue on Model Reduction (2019) (1)
Shape optimization in cardiovascular geometries using reduced basis method and free-form deformations (2009) (1)
Validation of an OpenFOAM-based solver for the Euler equations with benchmarks for mesoscale atmospheric modeling (2023) (1)
Computational Methods in Cardiovascular Mechanics (2018) (1)
Thermomechanical modelling for industrial applications (2021) (1)
Model order reduction: basic concepts and notation (1)
Towards a Numerical Proof of Turbulence Closure (2022) (1)
Preface to the third volume of Model Order Reduction (2020) (0)
Computational reduction strategies for bifurcation and stability analysis in fluid-dynamics (2015) (0)
rbMIT software library: Heat Transfer Examples (2013) (0)
Novel methodologies for solving the inverse unsteady heat transfer problem of estimating the boundary heat flux in continuous casting molds (2022) (0)
A Hybrid projection/data-driven Reduced Order Model for the Navier-Stokes equations with nonlinear filtering stabilization (2023) (0)
A continuous trainable ﬁlter for convolution with unstructured data (2022) (0)
Adaptive POD basis computation using optimal snapshot location (2012) (0)
ADVANCED REDUCED-ORDER MODELING STRATEGIES FOR PARAMETRIZED PDES AND APPLICATIONS (2014) (0)
High-Order Isogeometric Methods for Compressible Flows I: Scalar Conservation Laws (2020) (0)
Advances in Model Order Reduction for Fluid-Structure Interaction Problems (2021) (0)
Reduced Basis Library for Real-Time Applications in Computational Mechanics with COMSOL Multiphysics(R) interface (2008) (0)
Geometrical reduction for shape optimization problems (2012) (0)
Model order reduction of parameterized systems (MoRePaS) (2015) (0)
A reduced basis method by means of transport maps for a fluid–structure interaction problem with slowly decaying Kolmogorov $ n $-width (2023) (0)
Data-Driven Enhanced Model Reduction for Bifurcating Models in Computational Fluid Dynamics (2022) (0)
Assessment of URANS and LES Methods in Predicting Wake Shed Behind a Vertical Axis Wind Turbine (2022) (0)
Weighted reduced order methods for uncertainty quantification in computational fluid dynamics (2023) (0)
Reduced basis approximation and a-posteriori error estimation for the coupled Stokes-Darcy system (2014) (0)
Matematica in volo con Solar Impulse (2006) (0)
Document title (2022) (0)
An efficient FV-based Virtual Boundary Method for the simulation of fluid-solid interaction (2021) (0)
ROBUST DESIGN OF BYPASS ANASTOMOSES UNDER UNCERTAINTY (2012) (0)
A fast virtual surgery platform for many scenarios haemodynamics of patient-specific coronary artery bypass grafts (2016) (0)
Advances in cardiovascular modeling and simulation (2022) (0)
POD–Galerkin Model Order Reduction for Parametrized Time Dependent Linear Quadratic Optimal Control Problems in Saddle Point Formulation (2020) (0)
MicroROM: An Efficient and Accurate Reduced Order Method to Solve Many-Query Problems in Micro-Motility (2020) (0)
Applicable Methodologies for the Mass Transfer Phenomenon in Tumble Dryers: A Review (2023) (0)
Application of Reduced Basis Methods to the Stabilized Space-Time FEM Solver XNS Using the RBniCS Library (2019) (0)
A DeepONet Multi-Fidelity Approach for Residual Learning in Reduced Order Modeling (2023) (0)
Reduced Basis Method for Evolution Schemes with Nonlinear Explicit Operators (2007) (0)
On the Application of Reduced Basis Methods to Bifurcation Problems in Incompressible Fluid Dynamics (2017) (0)
Discontinuous Galerkin Model Order Reduction of Geometrically Parametrized Stokes Equation (2019) (0)
ANU volume 31 Cover and Front matter (2022) (0)
Special Issue on Reduced Order Models in CFD (2020) (0)
Fluid-structure interaction simulations with a LES ﬁltering approach in solids4Foam (2021) (0)
Model order reduction by reduced basis methods and free-form deformations for shape optimization (2011) (0)
Projection Based Semi-Implicit Partitioned Reduced Basis Method for Fluid-Structure Interaction Problems (2022) (0)
A segregated reduced order model of a pressure-based solver for turbulent compressible flows (2022) (0)
Reduced Order Methods for the Improvement of Control-Oriented Modelling of Nuclear Power Plants (2017) (0)
A unified steady and unsteady formulation for hydrodynamic potential flow simulations with fully nonlinear free surface boundary conditions (2022) (0)
An introduction to POD-Greedy-Galerkin reduced basis method (2022) (0)
Model Order Reduction for Deforming Domain Problems in a Time-Continuous Space-Time Setting (2023) (0)
Parameter space and model reduction with shape parametrization, by means of active subspace and POD-Galerkin methods for industrial and biomedical applications (2018) (0)
An optimisation-based domain-decomposition reduced order model for the incompressible Navier-Stokes equations (2022) (0)
Reduced Order Models for Optimal Flow Control (2021) (0)
Uncertainty Quantication in Human Arterial System (2013) (0)
Computational Reduction for Parametrized PDEs: Strategies and Applications (2012) (0)
Preface to the first volume of Model Order Reduction (2021) (0)
Model Order Reduction for Shape Optimization of Cardiovascular Geometries (2010) (0)
Reduced-order modeling of large-scale network systems (2020) (0)
Isogeometric analysis-based reduced order modelling for incompressible linear viscous flows in parametrized shapes (2016) (0)
Non-intrusive reduced order models for the accurate prediction of bifurcating phenomena in compressible fluid dynamics (2022) (0)
University of Southern Denmark Adaptive Sampling for Nonlinear Dimensionality Reduction Based on Manifold Learning (2017) (0)
A Non-Intrusive Data-Driven Reduced Order Model for Parametrized CFD-DEM Numerical Simulations (2023) (0)
Shape Optimization by Free-Form Deformation: Existence Results and Numerical Solution for Stokes Flows (2013) (0)
Reduced order methods for parametric flow control with random inputs and marine environmental applications (2021) (0)
POD-Galerkin reduced order methods for inverse and multi-physics problems in fluid dynamics (2018) (0)
GEA: a new finite volume-based open source code for the numerical simulation of atmospheric and ocean flows (2023) (0)
A reduced basis hybrid method for viscous flows in parametrized complex networks (2010) (0)
Multilevel and weighted reduced basis method for stochastic optimal control problems constrained by Stokes equations (2015) (0)
WEIGHTED REDUCED BASIS METHOD FOR STOCHASTIC OPTIMAL CONTROL PROBLEMS WITH PDE CONSTRAINTS (2013) (0)
A reduced computational framework for optimal control problems (2012) (0)
A two stages Deep Learning Architecture for Model Reduction of Parametric Time-Dependent Problems (2023) (0)
Reduced Basis, Embedded Methods and Parametrized Levelset Geometry (2023) (0)
Enhancing CFD predictions in shape design problems by model and parameter space reduction (2020) (0)
Fluid–Structure Interaction problems within the Reduced Basis Method: monolithic or partitioned algorithms, and a ﬁrst CutFEM approach (2021) (0)
Numerical proof of shell model turbulence closure (2022) (0)
A Weighted POD Method for Elliptic PDEs with Random Inputs (2018) (0)
Reduced basis method for the reliable model reduction of Navier-Stokes equations in cardiovascular modelling (2010) (0)
Mathematics in the Air with Solar Impulse (2009) (0)
Feature Paper Collection of Mathematical and Computational Applications—2022 (2023) (0)
State of the art and perspectives for reduced order methods in industrial computational fluid dynamics (2022) (0)
Numerical solution of ψ-Hilfer fractional Black–Scholes equations via space–time spectral collocation method (2023) (0)
A Graph-based Framework for Complex System Simulating and Diagnosis with Automatic Reconfiguration (2023) (0)
REDUCED BASIS APPROXIMATION FOR THE STRUCTURAL-ACOUSTIC DESIGN BASED ON ENERGY FINITE ELEMENT ANALYSIS (RB-EFEA) (2013) (0)
School of Basic Sciences - Section of Mathematics (2013) (0)
A Reduced Basis Method for heterogeneous domain decomposition problems (2014) (0)
This is a repository copy of Model Order Reduction in Fluid Dynamics : Challenges and Perspectives (2013) (0)
1 Model order reduction: basic concepts and notation (2021) (0)
The Empirical Interpolation Method (2016) (0)
Syddansk Universitet Adaptive Sampling for Nonlinear Dimensionality Reduction Based on Manifold Learning (2017) (0)
19th International Conference on Finite Elements in Flow Problems (2019) (0)
SISSA mathLab main references and open source software on mathematical modelling for hemodynamics/cardiovascular systems mathLab Open Source Software and (2022) (0)
Certified Reduced Basis Approximation for the Coupling of Viscous and Inviscid Parametrized Flow Models (2017) (0)

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