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ORCIDGianluigi Rozza
2020 – today
- 2025
[j83]Lander Besabe
, Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
Linear and nonlinear filtering for a two-layer quasi-geostrophic ocean model. Appl. Math. Comput. 488: 129121 (2025)- [j82]Matteo Zancanaro, Valentin Nkana Ngan, Giovanni Stabile, Gianluigi Rozza:
A segregated reduced-order model of a pressure-based solver for turbulent compressible flows. Adv. Model. Simul. Eng. Sci. 12(1): 3 (2025) - [j81]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. Comput. Math. Appl. 180: 299-321 (2025) - [j80]Fabio Zoccolan, Maria Strazzullo, Gianluigi Rozza:
A Streamline Upwind Petrov-Galerkin Reduced Order Method for Advection-Dominated Partial Differential Equations Under Optimal Control. Comput. Methods Appl. Math. 25(1): 237- (2025) - [j79]Alessandro Pecile, Nicola Demo, Marco Tezzele, Gianluigi Rozza, Dimitri Breda:
Data-driven discovery of delay differential equations with discrete delays. J. Comput. Appl. Math. 461: 116439 (2025) - [j78]Francesco Romor, Giovanni Stabile, Gianluigi Rozza:
Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations. J. Comput. Phys. 524: 113729 (2025) - [i142]Harshith Gowrachari, Giovanni Stabile, Gianluigi Rozza:
Model Reduction for Transport-Dominated Problems via Cross-Correlation Based Snapshot Registration. CoRR abs/2501.01299 (2025) - [i141]Anna Ivagnes, Maria Strazzullo, Michele Girfoglio, Traian Iliescu, Gianluigi Rozza:
Data-driven Optimization for the Evolve-Filter-Relax regularization of convection-dominated flows. CoRR abs/2501.03933 (2025) - [i140]Isabella Carla Gonnella, Federico Pichi, Gianluigi Rozza:
Nonlinear reduction strategies for data compression: a comprehensive comparison from diffusion to advection problems. CoRR abs/2501.12816 (2025) - [i139]Pierfrancesco Siena, Pasquale Claudio Africa, Michele Girfoglio, Gianluigi Rozza:
A hybrid Reduced Order Model to enforce outflow pressure boundary conditions in computational haemodynamics. CoRR abs/2501.13768 (2025) - [i138]Dario Coscia, Max Welling, Nicola Demo, Gianluigi Rozza:
BARNN: A Bayesian Autoregressive and Recurrent Neural Network. CoRR abs/2501.18665 (2025) - [i137]Lorenzo Tomada, Moaad Khamlich, Federico Pichi, Gianluigi Rozza:
Sparse Identification for bifurcating phenomena in Computational Fluid Dynamics. CoRR abs/2502.11194 (2025) - 2024
- [j77]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): 6 (2024) - [j76]Francesco Ballarin, Enrique Delgado Ávila, Andrea Mola, Gianluigi Rozza:
Mathematical modelling and computational reduction of molten glass fluid flow in a furnace melting basin. Comput. Appl. Math. 43(7): 407 (2024) - [j75]Francesco Piccialli, Gianluigi Rozza, Giovanni Stabile:
Preface. Comput. Math. Appl. 155: 14 (2024) - [j74]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: 253-268 (2024) - [j73]Jose Raul 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: 113058 (2024) - [j72]Francesco Romor, Marco Tezzele, Gianluigi Rozza:
A Local Approach to Parameter Space Reduction for Regression and Classification Tasks. J. Sci. Comput. 99(3): 83 (2024) - [d27]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2401. Zenodo, 2024 [all versions]
- [d26]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2402. Zenodo, 2024 [all versions] - [d25]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2403. Zenodo, 2024 [all versions] - [d24]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2404. Zenodo, 2024 [all versions] - [i136]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 abs/2402.07463 (2024) - [i135]Ivan Prusak, Davide Torlo, Monica Nonino, Gianluigi Rozza:
Optimisation-Based Coupling of Finite Element Model and Reduced Order Model for Computational Fluid Dynamics. CoRR abs/2402.10570 (2024) - [i134]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 abs/2402.10641 (2024) - [i133]Isabella Carla Gonnella, Moaad Khamlich, Federico Pichi, Gianluigi Rozza:
A stochastic perturbation approach to nonlinear bifurcating problems. CoRR abs/2402.16803 (2024) - [i132]Kabir Bakhshaei, Umberto Emil Morelli, Giovanni Stabile, Gianluigi Rozza:
Optimized Bayesian Framework for Inverse Heat Transfer Problems Using Reduced Order Methods. CoRR abs/2402.19381 (2024) - [i131]Anna Ivagnes, Niccolò Tonicello, Paola Cinnella, Gianluigi Rozza:
Enhancing non-intrusive Reduced Order Models with space-dependent aggregation methods. CoRR abs/2403.05710 (2024) - [i130]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 abs/2403.14283 (2024) - [i129]Lander Besabe, Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
Linear and nonlinear filtering for a two-layer quasi-geostrophic ocean model. CoRR abs/2404.11718 (2024) - [i128]Nicola Clinco, Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
Computational study of numerical flux schemes for mesoscale atmospheric flows in a Finite Volume framework. CoRR abs/2404.19559 (2024) - [i127]Pierfrancesco Siena, Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
Stabilized POD Reduced Order Models for convection-dominated incompressible flows. CoRR abs/2404.19600 (2024) - [i126]Guglielmo Padula, Michele Girfoglio, Gianluigi Rozza:
A brief review of Reduced Order Models using intrusive and non-intrusive techniques. CoRR abs/2406.00559 (2024) - [i125]Anna Ivagnes, Giovanni Stabile, Gianluigi Rozza:
Parametric Intrusive Reduced Order Models enhanced with Machine Learning Correction Terms. CoRR abs/2406.04169 (2024) - [i124]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 abs/2406.12701 (2024) - [i123]Ivan Prusak, Davide Torlo, Monica Nonino, Gianluigi Rozza:
A time-adaptive algorithm for pressure dominated flows: a heuristic estimator. CoRR abs/2407.00428 (2024) - [i122]Pierfrancesco Siena, Pasquale Claudio Africa, Michele Girfoglio, Gianluigi Rozza:
On the accuracy and efficiency of reduced order models: towards real-world applications. CoRR abs/2407.03325 (2024) - [i121]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 abs/2407.18419 (2024) - [i120]Alessandro Pecile, Nicola Demo, Marco Tezzele, Gianluigi Rozza, Dimitri Breda:
Data-driven Discovery of Delay Differential Equations with Discrete Delays. CoRR abs/2407.19640 (2024) - [i119]Lander Besabe, Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
Data-driven reduced order modeling of a two-layer quasi-geostrophic ocean model. CoRR abs/2408.16723 (2024) - [i118]Giuseppe Alessio D'Inverno, Saeid Moradizadeh, Sajad Salavatidezfouli, Pasquale Claudio Africa, Gianluigi Rozza:
Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction. CoRR abs/2410.03802 (2024) - [i117]Surabhi Rathore, Pasquale Claudio Africa, Francesco Ballarin, Federico Pichi, Michele Girfoglio, Gianluigi Rozza:
Projection-based Reduced Order Modelling for Unsteady Parametrized Optimal Control Problems in 3D Cardiovascular Flows. CoRR abs/2410.20828 (2024) - [i116]Pavan Pranjivan Mehta, Gianluigi Rozza:
Jacobi convolution polynomial for Petrov-Galerkin scheme and general fractional calculus of arbitrary order over finite interval. CoRR abs/2411.08080 (2024) - [i115]Moaad Khamlich, Federico Pichi, Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
Optimal Transport-Based Displacement Interpolation with Data Augmentation for Reduced Order Modeling of Nonlinear Dynamical Systems. CoRR abs/2411.08750 (2024) - [i114]Lorenzo Fabris, Marco Tezzele, Ciro Busiello, Mauro Sicchiero, Gianluigi Rozza:
Data-driven parameterization refinement for the structural optimization of cruise ship hulls. CoRR abs/2411.09525 (2024) - [i113]Kabir Bakhshaei, Sajad Salavatidezfouli, Giovanni Stabile, Gianluigi Rozza:
Stochastic Parameter Prediction in Cardiovascular Problems. CoRR abs/2411.18089 (2024) - 2023
- [j71]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): 22 (2023) - [j70]Anna Ivagnes, Giovanni Stabile, Andrea Mola, Traian Iliescu, Gianluigi Rozza:
Hybrid data-driven closure strategies for reduced order modeling. Appl. Math. Comput. 448: 127920 (2023) - [j69]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): 12 (2023) - [j68]Laura Meneghetti, Nicola Demo, Gianluigi Rozza:
A dimensionality reduction approach for convolutional neural networks. Appl. Intell. 53(19): 22818-22833 (2023) - [j67]Nicola Demo, Maria Strazzullo, Gianluigi Rozza:
An extended physics informed neural network for preliminary analysis of parametric optimal control problems. Comput. Math. Appl. 143: 383-396 (2023) - [j66]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: 115-127 (2023) - [j65]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: 172-189 (2023) - [j64]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: 114656 (2023) - [j63]Anna Ivagnes, Giovanni Stabile, Andrea Mola, Traian Iliescu, Gianluigi Rozza:
Pressure data-driven variational multiscale reduced order models. J. Comput. Phys. 476: 111904 (2023) - [j62]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: 112127 (2023) - [j61]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: 112355 (2023) - [j60]Dario Coscia, Anna Ivagnes, Nicola Demo, Gianluigi Rozza:
Physics-Informed Neural networks for Advanced modeling. J. Open Source Softw. 8(87): 5352 (2023) - [j59]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): 4 (2023) - [j58]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): 38 (2023) - [j57]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): 74 (2023) - [j56]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): 23 (2023) - [j55]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): 2432-2458 (2023) - [d23]Dario Coscia, Anna Ivagnes, Nicola Demo, Gianluigi Rozza:
PINA: Physics-Informed Neural networks for Advanced modeling. Zenodo, 2023 - [d22]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2303. Zenodo, 2023 [all versions] - [d21]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2304. Zenodo, 2023 [all versions] - [d20]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2305. Zenodo, 2023 [all versions] - [d19]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2306. Zenodo, 2023 [all versions] - [d18]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2307. Zenodo, 2023 [all versions] - [d17]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2308. Zenodo, 2023 [all versions] - [d16]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2309. Zenodo, 2023 [all versions] - [d15]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2310. Zenodo, 2023 [all versions] - [d14]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2311. Zenodo, 2023 [all versions] - [d13]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2312. Zenodo, 2023 [all versions] - [i112]Fabio Zoccolan, Maria Strazzullo, Gianluigi Rozza:
A Streamline upwind Petrov-Galerkin Reduced Order Method for Advection-Dominated Partial Differential Equations under Optimal Control. CoRR abs/2301.01973 (2023) - [i111]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 abs/2301.01975 (2023) - [i110]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 abs/2301.09926 (2023) - [i109]Efthymios N. Karatzas, Giovanni Stabile, Francesco Ballarin, Gianluigi Rozza:
Reduced Basis, Embedded Methods and Parametrized Levelset Geometry. CoRR abs/2301.12401 (2023) - [i108]Martina Teruzzi, Nicola Demo, Gianluigi Rozza:
A Graph-based Framework for Complex System Simulating and Diagnosis with Automatic Reconfiguration. CoRR abs/2302.06473 (2023) - [i107]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. CoRR abs/2302.12625 (2023) - [i106]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
A DeepONet Multi-Fidelity Approach for Residual Learning in Reduced Order Modeling. CoRR abs/2302.12682 (2023) - [i105]Julien Genovese, Francesco Ballarin, Gianluigi Rozza, Claudio Canuto:
Weighted reduced order methods for uncertainty quantification in computational fluid dynamics. CoRR abs/2303.14432 (2023) - [i104]Fabian Key, Max von Danwitz, Francesco Ballarin, Gianluigi Rozza:
Model Order Reduction for Deforming Domain Problems in a Time-Continuous Space-Time Setting. CoRR abs/2303.16662 (2023) - [i103]Sajad Salavatidezfouli, Arash Hajisharifi, Michele Girfoglio, Giovanni Stabile, Gianluigi Rozza:
Applicable Methodologies for the Mass Transfer Phenomenon in Tumble Dryers: A Review. CoRR abs/2304.03533 (2023) - [i102]Moaad Khamlich, Giovanni Stabile, Gianluigi Rozza, László Környei, Zoltán Horváth:
A physics-based reduced order model for urban air pollution prediction. CoRR abs/2305.04575 (2023) - [i101]Anna Ivagnes, Nicola Demo, Gianluigi Rozza:
A shape optimization pipeline for marine propellers by means of reduced order modeling techniques. CoRR abs/2305.07515 (2023) - [i100]Nicola Clinco, Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
Filter stabilization for the mildly compressible Euler equations with application to atmosphere dynamics simulations. CoRR abs/2305.12978 (2023) - [i99]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 abs/2305.13613 (2023) - [i98]Dario Coscia, Nicola Demo, Gianluigi Rozza:
Generative Adversarial Reduced Order Modelling. CoRR abs/2305.15881 (2023) - [i97]Federico Pichi, Gianluigi Rozza:
Reduced order models for the buckling of hyperelastic beams. CoRR abs/2305.19764 (2023) - [i96]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 abs/2308.01733 (2023) - [i95]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 abs/2308.03378 (2023) - [i94]Francesco Romor, Giovanni Stabile, Gianluigi Rozza:
Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations. CoRR abs/2308.03396 (2023) - [i93]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 abs/2308.03662 (2023) - [i92]Moaad Khamlich, Federico Pichi, Gianluigi Rozza:
Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel. CoRR abs/2308.13840 (2023) - [i91]Sajad Salavatidezfouli, Giovanni Stabile, Gianluigi Rozza:
Deep Reinforcement Learning for the Heat Transfer Control of Pulsating Impinging Jets. CoRR abs/2309.13955 (2023) - [i90]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 abs/2311.08130 (2023) - [i89]Rahul Halder, Giovanni Stabile, Gianluigi Rozza:
Physics Informed Neural Network Framework for Unsteady Discretized Reduced Order System. CoRR abs/2311.14045 (2023) - 2022
- [j54]Jan S. Hesthaven, Cecilia Pagliantini, Gianluigi Rozza:
Reduced basis methods for time-dependent problems. Acta Numer. 31: 265-345 (2022) - [j53]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: 140-160 (2022) - [j52]Andrea Lario, Romit Maulik, Oliver T. Schmidt, Gianluigi Rozza, Gianmarco Mengaldo:
Neural-network learning of SPOD latent dynamics. J. Comput. Phys. 468: 111475 (2022) - [j51]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): 63-84 (2022) - [j50]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): 88 (2022) - [j49]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): 54 (2022) - [c7]Laura Meneghetti, Nicola Demo, Gianluigi Rozza:
A Proper Orthogonal Decomposition Approach for Parameters Reduction of Single Shot Detector Networks. ICIP 2022: 2206-2210 - [i88]Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
A POD-Galerkin reduced order model for the Navier-Stokes equations in stream function-vorticity formulation. CoRR abs/2201.00756 (2022) - [i87]Pierfrancesco Siena, Michele Girfoglio, Gianluigi Rozza:
Fast and accurate numerical simulations for the study of coronary artery bypass grafts by artificial neural network. CoRR abs/2201.01804 (2022) - [i86]Martin W. Hess, Gianluigi Rozza:
Model Reduction Using Sparse Polynomial Interpolation for the Incompressible Navier-Stokes Equations. CoRR abs/2201.03228 (2022) - [i85]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 abs/2201.03236 (2022) - [i84]Martin W. Hess, Andrea Lario, Gianmarco Mengaldo, Gianluigi Rozza:
Reduced order modeling for spectral element methods: current developments in Nektar++ and further perspectives. CoRR abs/2201.05404 (2022) - [i83]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. CoRR abs/2201.05624 (2022) - [i82]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 abs/2201.09546 (2022) - [i81]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 abs/2201.10872 (2022) - [i80]Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
A novel Large Eddy Simulation model for the Quasi-Geostrophic Equations in a Finite Volume setting. CoRR abs/2202.00295 (2022) - [i79]Martin W. Hess, Annalisa Quaini, Gianluigi Rozza:
Data-Driven Enhanced Model Reduction for Bifurcating Models in Computational Fluid Dynamics. CoRR abs/2202.09250 (2022) - [i78]Giulio Ortali, Alessandro Corbetta, Gianluigi Rozza, Federico Toschi:
Towards a Numerical Proof of Turbulence Closure. CoRR abs/2202.09289 (2022) - [i77]Francesco Romor, Giovanni Stabile, Gianluigi Rozza:
Non-linear manifold ROM with Convolutional Autoencoders and Reduced Over-Collocation method. CoRR abs/2203.00360 (2022) - [i76]Pierfrancesco Siena, Michele Girfoglio, Gianluigi Rozza:
An introduction to POD-Greedy-Galerkin reduced basis method. CoRR abs/2203.08532 (2022) - [i75]Matteo Zancanaro, Giovanni Stabile, Gianluigi Rozza:
A segregated reduced order model of a pressure-based solver for turbulent compressible flows. CoRR abs/2205.09396 (2022) - [i74]Anna Ivagnes, Giovanni Stabile, Andrea Mola, Traian Iliescu, Gianluigi Rozza:
Pressure Data-Driven Variational Multiscale Reduced Order Models. CoRR abs/2205.15118 (2022) - [i73]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 abs/2206.01243 (2022) - [i72]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 abs/2206.15384 (2022) - [i71]Anna Ivagnes, Giovanni Stabile, Andrea Mola, Traian Iliescu, Gianluigi Rozza:
Hybrid Data-Driven Closure Strategies for Reduced Order Modeling. CoRR abs/2207.10531 (2022) - [i70]Laura Meneghetti, Nicola Demo, Gianluigi Rozza:
A Proper Orthogonal Decomposition approach for parameters reduction of Single Shot Detector networks. CoRR abs/2207.13551 (2022) - [i69]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 abs/2210.02128 (2022) - [i68]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 abs/2210.02845 (2022) - [i67]Dario Coscia, Laura Meneghetti, Nicola Demo, Giovanni Stabile, Gianluigi Rozza:
A Continuous Convolutional Trainable Filter for Modelling Unstructured Data. CoRR abs/2210.13416 (2022) - [i66]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 abs/2210.14764 (2022) - [i65]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 abs/2211.14528 (2022) - [i64]Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
A linear filter regularization for POD-based reduced order models of the quasi-geostrophic equations. CoRR abs/2211.16851 (2022) - [i63]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 abs/2212.07737 (2022) - [i62]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 abs/2212.10198 (2022) - [i61]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 abs/2212.13076 (2022) - 2021
- [j48]Moreno Pintore, Federico Pichi, Martin W. Hess, Gianluigi Rozza, Claudio Canuto:
Efficient computation of bifurcation diagrams with a deflated approach to reduced basis spectral element method. Adv. Comput. Math. 47(1): 1 (2021) - [j47]Giuseppe Carere, Maria Strazzullo, Francesco Ballarin, Gianluigi Rozza, Rob Stevenson:
A weighted POD-reduction approach for parametrized PDE-constrained optimal control problems with random inputs and applications to environmental sciences. Comput. Math. Appl. 102: 261-276 (2021) - [j46]Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
A POD-Galerkin reduced order model for a LES filtering approach. J. Comput. Phys. 436: 110260 (2021) - [j45]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): 9 (2021) - [j44]Matteo Zancanaro, Francesco Ballarin, Simona Perotto, Gianluigi Rozza:
Hierarchical Model Reduction Techniques for Flow Modeling in a Parametrized Setting. Multiscale Model. Simul. 19(1): 267-293 (2021) - [j43]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
A Supervised Learning Approach Involving Active Subspaces for an Efficient Genetic Algorithm in High-Dimensional Optimization Problems. SIAM J. Sci. Comput. 43(3): B831-B853 (2021) - [j42]Marco Tezzele, Nicola Demo, Andrea Mola, Gianluigi Rozza:
PyGeM: Python Geometrical Morphing. Softw. Impacts 7: 100047 (2021) - [j41]Francesco Romor, Marco Tezzele, Gianluigi Rozza:
ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis. Softw. Impacts 10: 100133 (2021) - [d12]Umberto Emil Morelli, Giovanni Stabile, Patricia Barral, Gianluigi Rozza, Peregrina Quintela:
Benchmarks inverse heat transfer problem: Boundary heat flux estimation in continuous casting mold. Zenodo, 2021 - [i60]Nicola Demo, Marco Tezzele, Andrea Mola, Gianluigi Rozza:
Hull shape design optimization with parameter space and model reductions, and self-learning mesh morphing. CoRR abs/2101.03781 (2021) - [i59]Umberto Emil Morelli, Patricia Barral, Peregrina Quintela, Gianluigi Rozza, Giovanni Stabile:
A numerical approach for heat flux estimation in thin slabs continuous casting molds using data assimilation. CoRR abs/2101.11985 (2021) - [i58]Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
Fluid-structure interaction simulations with a LES filtering approach in solids4Foam. CoRR abs/2102.08011 (2021) - [i57]Maria Strazzullo, Francesco Ballarin, Gianluigi Rozza:
A Certified Reduced Basis Method for Linear Parametrized Parabolic Optimal Control Problems in Space-Time Formulation. CoRR abs/2103.00460 (2021) - [i56]Giuseppe Carere, Maria Strazzullo, Francesco Ballarin, Gianluigi Rozza, Rob Stevenson:
A weighted POD-reduction approach for parametrized PDE-constrained Optimal Control Problems with random inputs and applications to environmental sciences. CoRR abs/2103.00632 (2021) - [i55]Shafqat Ali, Francesco Ballarin, Gianluigi Rozza:
A Reduced basis stabilization for the unsteady Stokes and Navier-Stokes equations. CoRR abs/2103.03553 (2021) - [i54]Monica Nonino, Francesco Ballarin, Gianluigi Rozza:
A monolithic and a partitioned Reduced Basis Method for Fluid-Structure Interaction problems. CoRR abs/2104.09882 (2021) - [i53]Elisa Fevola, Francesco Ballarin, Laura Jiménez-Juan, Stephen Fremes, Stefano Grivet-Talocia, Gianluigi Rozza, Piero Triverio:
An optimal control approach to determine resistance-type boundary conditions from in-vivo data for cardiovascular simulations. CoRR abs/2104.13284 (2021) - [i52]Francesco Romor, Marco Tezzele, Gianluigi Rozza:
ATHENA: Advanced Techniques for High Dimensional Parameter Spaces to Enhance Numerical Analysis. CoRR abs/2105.06713 (2021) - [i51]Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
Pressure stabilization strategies for a LES filtering Reduced Order Model. CoRR abs/2106.15887 (2021) - [i50]Matteo Zancanaro, Markus Mrosek, Giovanni Stabile, Carsten Othmer, Gianluigi Rozza:
Hybrid neural network reduced order modelling for turbulent flows with geometric parameters. CoRR abs/2107.09591 (2021) - [i49]Francesco Romor, Marco Tezzele, Gianluigi Rozza:
A local approach to parameter space reduction for regression and classification tasks. CoRR abs/2107.10867 (2021) - [i48]Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
A Hybrid Reduced Order Model for nonlinear LES filtering. CoRR abs/2107.12933 (2021) - [i47]Birgul Koc, Changhong Mou, Honghu Liu, Zhu Wang, Gianluigi Rozza, Traian Iliescu:
Verifiability of the Data-Driven Variational Multiscale Reduced Order Model. CoRR abs/2108.04982 (2021) - [i46]Davide Papapicco, Nicola Demo, Michele Girfoglio, Giovanni Stabile, Gianluigi Rozza:
The Neural Network shifted-Proper Orthogonal Decomposition: a Machine Learning Approach for Non-linear Reduction of Hyperbolic Equations. CoRR abs/2108.06558 (2021) - [i45]Nirav Vasant Shah, Michele Girfoglio, Gianluigi Rozza:
Thermomechanical modelling for industrial applications. CoRR abs/2108.13366 (2021) - [i44]Federico Pichi, Francesco Ballarin, Gianluigi Rozza, Jan S. Hesthaven:
An artificial neural network approach to bifurcating phenomena in computational fluid dynamics. CoRR abs/2109.10765 (2021) - [i43]Maria Strazzullo, Michele Girfoglio, Francesco Ballarin, Traian Iliescu, Gianluigi Rozza:
Consistency of the Full and Reduced Order Models for Evolve-Filter-Relax Regularization of Convection-Dominated, Marginally-Resolved Flows. CoRR abs/2110.05093 (2021) - [i42]Moaad Khamlich, Federico Pichi, Gianluigi Rozza:
Model order reduction for bifurcating phenomena in Fluid-Structure Interaction problems. CoRR abs/2110.06297 (2021) - [i41]Francesco Andreuzzi, Nicola Demo, Gianluigi Rozza:
A dynamic mode decomposition extension for the forecasting of parametric dynamical systems. CoRR abs/2110.09155 (2021) - [i40]Laura Meneghetti, Nicola Demo, Gianluigi Rozza:
A Dimensionality Reduction Approach for Convolutional Neural Networks. CoRR abs/2110.09163 (2021) - [i39]Andrea Lario, Romit Maulik, Gianluigi Rozza, Gianmarco Mengaldo:
Neural-network learning of SPOD latent dynamics. CoRR abs/2110.09218 (2021) - [i38]Michele Girfoglio, Giovanni Stabile, Andrea Mola, Gianluigi Rozza:
An efficient FV-based Virtual Boundary Method for the simulation of fluid-solid interaction. CoRR abs/2110.11756 (2021) - [i37]Nicola Demo, Maria Strazzullo, Gianluigi Rozza:
An extended physics informed neural network for preliminary analysis of parametric optimal control problems. CoRR abs/2110.13530 (2021) - [i36]Francesco Romor, Marco Tezzele, Markus Mrosek, Carsten Othmer, Gianluigi Rozza:
Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering. CoRR abs/2110.14396 (2021) - [i35]Nirav Vasant Shah, Michele Girfoglio, Peregrina Quintela, Gianluigi Rozza, Alejandro Lengomin, Francesco Ballarin, Patricia Barral:
Finite element based model order reduction for parametrized one-way coupled steady state linear thermomechanical problems. CoRR abs/2111.08534 (2021) - [i34]Eleonora Donadini, Maria Strazzullo, Marco Tezzele, Gianluigi Rozza:
A data-driven partitioned approach for the resolution of time-dependent optimal control problems with dynamic mode decomposition. CoRR abs/2111.13906 (2021) - 2020
- [j40]Marco Tezzele, Nicola Demo, Giovanni Stabile, Andrea Mola, Gianluigi Rozza:
Enhancing CFD predictions in shape design problems by model and parameter space reduction. Adv. Model. Simul. Eng. Sci. 7(1): 40 (2020) - [j39]Saray Busto, Giovanni Stabile, Gianluigi Rozza, M. Elena Vázquez-Cendón:
POD-Galerkin reduced order methods for combined Navier-Stokes transport equations based on a hybrid FV-FE solver. Comput. Math. Appl. 79(2): 256-273 (2020) - [j38]Efthymios N. Karatzas, Francesco Ballarin, Gianluigi Rozza:
Projection-based reduced order models for a cut finite element method in parametrized domains. Comput. Math. Appl. 79(3): 833-851 (2020) - [j37]Francesco Ballarin, Tomás Chacón Rebollo, Enrique Delgado Ávila, Macarena Gómez Mármol, Gianluigi Rozza:
Certified Reduced Basis VMS-Smagorinsky model for natural convection flow in a cavity with variable height. Comput. Math. Appl. 80(5): 973-989 (2020) - [j36]Shafqat Ali, Francesco Ballarin, Gianluigi Rozza:
Stabilized reduced basis methods for parametrized steady Stokes and Navier-Stokes equations. Comput. Math. Appl. 80(11): 2399-2416 (2020) - [j35]Saddam Hijazi, Giovanni Stabile, Andrea Mola, Gianluigi Rozza:
Data-driven POD-Galerkin reduced order model for turbulent flows. J. Comput. Phys. 416: 109513 (2020) - [j34]Maria Strazzullo, Francesco Ballarin, Gianluigi Rozza:
POD-Galerkin Model Order Reduction for Parametrized Time Dependent Linear Quadratic Optimal Control Problems in Saddle Point Formulation. J. Sci. Comput. 83(3): 55 (2020) - [j33]Federico Pichi, Annalisa Quaini, Gianluigi Rozza:
A Reduced Order Modeling Technique to Study Bifurcating Phenomena: Application to the Gross-Pitaevskii Equation. SIAM J. Sci. Comput. 42(5): B1115-B1135 (2020) - [i33]Shafqat Ali, Francesco Ballarin, Gianluigi Rozza:
Stabilized reduced basis methods for parametrized steady Stokes and Navier-Stokes equations. CoRR abs/2001.00820 (2020) - [i32]Marco Tezzele, Nicola Demo, Giovanni Stabile, Andrea Mola, Gianluigi Rozza:
Enhancing CFD predictions in shape design problems by model and parameter space reduction. CoRR abs/2001.05237 (2020) - [i31]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. CoRR abs/2003.09695 (2020) - [i30]Nicola Demo, Giulio Ortali, Gianluca Gustin, Gianluigi Rozza, Gianpiero Lavini:
An efficient computational framework for naval shape design and optimization problems by means of data-driven reduced order modeling techniques. CoRR abs/2004.11201 (2020) - [i29]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
A supervised learning approach involving active subspaces for an efficient genetic algorithm in high-dimensional optimization problems. CoRR abs/2006.07282 (2020) - [i28]Nicola Giuliani, Martin W. Hess, Antonio DeSimone, Gianluigi Rozza:
MicroROM: An Efficient and Accurate Reduced Order Method to Solve Many-Query Problems in Micro-Motility. CoRR abs/2006.13836 (2020) - [i27]Mahmoud Gadalla, Marta Cianferra, Marco Tezzele, Giovanni Stabile, Andrea Mola, Gianluigi Rozza:
On the comparison of LES data-driven reduced order approaches for hydroacoustic analysis. CoRR abs/2006.14428 (2020) - [i26]Michele Girfoglio, Francesco Ballarin, Giuseppe Infantino, Francesca Nicolò, Andrea Montalto, Gianluigi Rozza, Roberto Scrofani, Marina Comisso, Francesco Musumeci:
Non-intrusive PODI-ROM for patient-specific aortic blood flow in presence of a LVAD device. CoRR abs/2007.03527 (2020) - [i25]Francesco Romor, Marco Tezzele, Andrea Lario, Gianluigi Rozza:
Kernel-based Active Subspaces with application to CFD parametric problems using Discontinuous Galerkin method. CoRR abs/2008.12083 (2020) - [i24]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. CoRR abs/2009.01596 (2020) - [i23]Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
A POD-Galerkin reduced order model for a LES filtering approach. CoRR abs/2009.13593 (2020) - [i22]Efthymios N. Karatzas, Monica Nonino, Francesco Ballarin, Gianluigi Rozza:
A Reduced Order Cut Finite Element method for geometrically parameterized steady and unsteady Navier-Stokes problems. CoRR abs/2010.04953 (2020) - [i21]Martin W. Hess, Annalisa Quaini, Gianluigi Rozza:
A comparison of reduced-order modeling approaches for PDEs with bifurcating solutions. CoRR abs/2010.07370 (2020) - [i20]Michele Girfoglio, L. Scandurra, Francesco Ballarin, Giuseppe Infantino, Francesca Nicolò, Andrea Montalto, Gianluigi Rozza, Roberto Scrofani, Marina Comisso, Francesco Musumeci:
A non-intrusive data-driven ROM framework for hemodynamics problems. CoRR abs/2010.08139 (2020) - [i19]Francesco Romor, Marco Tezzele, Gianluigi Rozza:
Multi-fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces. CoRR abs/2010.08349 (2020) - [i18]Federico Pichi, Maria Strazzullo, Francesco Ballarin, Gianluigi Rozza:
Driving bifurcating parametrized nonlinear PDEs by optimal control strategies: application to Navier-Stokes equations with model order reduction. CoRR abs/2010.13506 (2020) - [i17]Francesco Ballarin, Gianluigi Rozza, Maria Strazzullo:
Reduced order methods for parametric flow control problems and applications. CoRR abs/2011.12101 (2020) - [i16]Giulio Ortali, Nicola Demo, Gianluigi Rozza:
Gaussian process approach within a data-driven POD framework for fluid dynamics engineering problems. CoRR abs/2012.01989 (2020)
2010 – 2019
- 2019
- [j32]Giovanni Stabile, Francesco Ballarin, Giacomo Zuccarino, Gianluigi Rozza:
A reduced order variational multiscale approach for turbulent flows. Adv. Comput. Math. 45(5): 2349-2368 (2019) - [j31]Mahmoud Gadalla, Marco Tezzele, Andrea Mola, Gianluigi Rozza:
BladeX: Python Blade Morphing. J. Open Source Softw. 4(34): 1203 (2019) - [j30]Tony Lelièvre, Simona Perotto, Gianluigi Rozza, Daniele A. Di Pietro, Alexandre Ern, Luca Formaggia:
Preface: Special Issue on Model Reduction. J. Sci. Comput. 81(1): 1-2 (2019) - [j29]Federico Pichi, Gianluigi Rozza:
Reduced Basis Approaches for Parametrized Bifurcation Problems held by Non-linear Von Kármán Equations. J. Sci. Comput. 81(1): 112-135 (2019) - [j28]Luca Venturi, Francesco Ballarin, Gianluigi Rozza:
A Weighted POD Method for Elliptic PDEs with Random Inputs. J. Sci. Comput. 81(1): 136-153 (2019) - [c6]Nirav Vasant Shah, Martin Wilfried Hess, Gianluigi Rozza:
Discontinuous Galerkin Model Order Reduction of Geometrically Parametrized Stokes Equation. ENUMATH 2019: 551-561 - [c5]Maria Strazzullo, Zakia Zainib, Francesco Ballarin, Gianluigi Rozza:
Reduced Order Methods for Parametrized Non-linear and Time Dependent Optimal Flow Control Problems, Towards Applications in Biomedical and Environmental Sciences. ENUMATH 2019: 841-850 - [d11]Mahmoud Gadalla, Marco Tezzele, Andrea Mola, Gianluigi Rozza:
BladeX: Python Blade Morphing. Zenodo, 2019 - [i15]Andrea Mola, Marco Tezzele, Mahmoud Gadalla, Federica Valdenazzi, Davide Grassi, Roberta Padovan, Gianluigi Rozza:
Efficient Reduction in Shape Parameter Space Dimension for Ship Propeller Blade Design. CoRR abs/1905.09815 (2019) - [i14]Sokratia Georgaka, Giovanni Stabile, Kelbij Star, Gianluigi Rozza, Michael J. Bluck:
A Hybrid Reduced Order Method for Modelling Turbulent Heat Transfer Problems. CoRR abs/1906.08725 (2019) - [i13]Federico Pichi, Annalisa Quaini, Gianluigi Rozza:
A Reduced Order technique to study bifurcating phenomena: application to the Gross-Pitaevskii equation. CoRR abs/1907.07082 (2019) - [i12]Saddam Hijazi, Giovanni Stabile, Andrea Mola, Gianluigi Rozza:
Data-Driven POD-Galerkin Reduced Order Model for Turbulent Flows. CoRR abs/1907.09909 (2019) - [i11]Efthymios N. Karatzas, Giovanni Stabile, Léo Nouveau, Guglielmo Scovazzi, Gianluigi Rozza:
A Reduced-Order Shifted Boundary Method for Parametrized incompressible Navier-Stokes equations. CoRR abs/1907.10549 (2019) - [i10]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
A non-intrusive approach for proper orthogonal decomposition modal coefficients reconstruction through active subspaces. CoRR abs/1907.12777 (2019) - [i9]Matteo Zancanaro, Francesco Ballarin, Simona Perotto, Gianluigi Rozza:
Hierarchical Model Reduction Techniques for Flow Modeling in a Parametrized Setting. CoRR abs/1909.01668 (2019) - [i8]Maria Strazzullo, Francesco Ballarin, Gianluigi Rozza:
POD-Galerkin Model Order Reduction for Parametrized Time Dependent Linear Quadratic Optimal Control Problems in Saddle Point Formulation. CoRR abs/1909.09631 (2019) - [i7]Zakia Zainib, Francesco Ballarin, Stephen Fremes, Piero Triverio, Laura Jiménez-Juan, Gianluigi Rozza:
Reduced order methods for parametric optimal flow control in coronary bypass grafts, towards patient-specific data assimilation. CoRR abs/1911.01409 (2019) - [i6]Monica Nonino, Francesco Ballarin, Gianluigi Rozza, Yvon Maday:
Overcoming slowly decaying Kolmogorov n-width by transport maps: application to model order reduction of fluid dynamics and fluid-structure interaction problems. CoRR abs/1911.06598 (2019) - [i5]Gianluigi Rozza, Martin W. Hess, Giovanni Stabile, Marco Tezzele, Francesco Ballarin:
Basic Ideas and Tools for Projection-Based Model Reduction of Parametric Partial Differential Equations. CoRR abs/1911.08954 (2019) - [i4]S. Kelbij Star, Giovanni Stabile, Francesco Belloni, Gianluigi Rozza, Joris Degroote:
Extension and comparison of techniques to enforce boundary conditions in Finite Volume POD-Galerkin reduced order models for fluid dynamic problems. CoRR abs/1912.00825 (2019) - [i3]Moreno Pintore, Federico Pichi, Martin W. Hess, Gianluigi Rozza, Claudio Canuto:
Efficient computation of bifurcation diagrams with a deflated approach to reduced basis spectral element method. CoRR abs/1912.06089 (2019) - [i2]Maria Strazzullo, Zakia Zainib, Francesco Ballarin, Gianluigi Rozza:
Reduced order methods for parametrized non-linear and time dependent optimal flow control problems, towards applications in biomedical and environmental sciences. CoRR abs/1912.07886 (2019) - [i1]Nirav Vasant Shah, Martin W. Hess, Gianluigi Rozza:
Discontinuous Galerkin Model Order Reduction of Geometrically Parametrized Stokes Equation. CoRR abs/1912.09787 (2019) - 2018
- [j27]Marco Tezzele, Filippo Salmoiraghi, Andrea Mola, Gianluigi Rozza:
Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems. Adv. Model. Simul. Eng. Sci. 5(1): 25:1-25:19 (2018) - [j26]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
PyDMD: Python Dynamic Mode Decomposition. J. Open Source Softw. 3(22): 530 (2018) - [j25]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. J. Open Source Softw. 3(24): 661 (2018) - [j24]Immanuel Martini, Bernard Haasdonk, Gianluigi Rozza:
Certified Reduced Basis Approximation for the Coupling of Viscous and Inviscid Parametrized Flow Models. J. Sci. Comput. 74(1): 197-219 (2018) - [j23]Davide Torlo, Francesco Ballarin, Gianluigi Rozza:
Stabilized Weighted Reduced Basis Methods for Parametrized Advection Dominated Problems with Random Inputs. SIAM/ASA J. Uncertain. Quantification 6(4): 1475-1502 (2018) - [j22]Maria Strazzullo, Francesco Ballarin, Renzo Mosetti, Gianluigi Rozza:
Model Reduction for Parametrized Optimal Control Problems in Environmental Marine Sciences and Engineering. SIAM J. Sci. Comput. 40(4): B1055-B1079 (2018) - [d10]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version 1.1.1. Zenodo, 2018 [all versions] - [d9]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version 1.1.1. Zenodo, 2018 [all versions] - [d8]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version 1.1.1. Zenodo, 2018 [all versions] - [d7]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version 1.1.1. Zenodo, 2018 [all versions] - [d6]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version 1.1.1. Zenodo, 2018 [all versions] - [d5]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version 1.1.1. Zenodo, 2018 [all versions] - [d4]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version 1.1.1. Zenodo, 2018 [all versions] - [d3]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version 1.1.1. Zenodo, 2018 [all versions] - [d2]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Version 1.1.1. Zenodo, 2018 [all versions] - [d1]Marco Tezzele, Nicola Demo, Gianluigi Rozza:
PyDMD: Python Dynamic Mode Decomposition. Zenodo, 2018 - 2017
- [j21]Giuseppe Pitton, Annalisa Quaini, Gianluigi Rozza:
Computational reduction strategies for the detection of steady bifurcations in incompressible fluid-dynamics: Applications to Coanda effect in cardiology. J. Comput. Phys. 344: 534-557 (2017) - [j20]Giuseppe Pitton, Gianluigi Rozza:
On the Application of Reduced Basis Methods to Bifurcation Problems in Incompressible Fluid Dynamics. J. Sci. Comput. 73(1): 157-177 (2017) - [j19]Peng Chen, Alfio Quarteroni, Gianluigi Rozza:
Reduced Basis Methods for Uncertainty Quantification. SIAM/ASA J. Uncertain. Quantification 5(1): 813-869 (2017) - [j18]Tomás Chacón Rebollo, Enrique Delgado Ávila, Macarena Gómez Mármol, Francesco Ballarin, Gianluigi Rozza:
On a Certified Smagorinsky Reduced Basis Turbulence Model. SIAM J. Numer. Anal. 55(6): 3047-3067 (2017) - 2016
- [j17]Filippo Salmoiraghi, Francesco Ballarin, Luca Heltai, Gianluigi Rozza:
Isogeometric analysis-based reduced order modelling for incompressible linear viscous flows in parametrized shapes. Adv. Model. Simul. Eng. Sci. 3(1): 21:1-21:22 (2016) - [j16]Laura Iapichino, Alfio Quarteroni, Gianluigi Rozza:
Reduced basis method and domain decomposition for elliptic problems in networks and complex parametrized geometries. Comput. Math. Appl. 71(1): 408-430 (2016) - [j15]Francesco Ballarin, Elena Faggiano, Sonia Ippolito, Andrea Manzoni, Alfio Quarteroni, Gianluigi Rozza, Roberto Scrofani:
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. 315: 609-628 (2016) - [j14]Peng Chen, Alfio Quarteroni, Gianluigi Rozza:
Multilevel and weighted reduced basis method for stochastic optimal control problems constrained by Stokes equations. Numerische Mathematik 133(1): 67-102 (2016) - 2015
- [j13]Peter Benner, Mario Ohlberger, Anthony T. Patera, Gianluigi Rozza, Danny C. Sorensen, Karsten Urban:
Model order reduction of parameterized systems (MoRePaS) - Preface to the special issue of advances in computational mathematics. Adv. Comput. Math. 41(5): 955-960 (2015) - [j12]Immanuel Martini, Gianluigi Rozza, Bernard Haasdonk:
Reduced basis approximation and a-posteriori error estimation for the coupled Stokes-Darcy system. Adv. Comput. Math. 41(5): 1131-1157 (2015) - [j11]Federico Negri, Andrea Manzoni, Gianluigi Rozza:
Reduced basis approximation of parametrized optimal flow control problems for the Stokes equations. Comput. Math. Appl. 69(4): 319-336 (2015) - 2014
- [j10]Peng Chen, Alfio Quarteroni, Gianluigi Rozza:
Comparison Between Reduced Basis and Stochastic Collocation Methods for Elliptic Problems. J. Sci. Comput. 59(1): 187-216 (2014) - [j9]Francesco Ballarin, Andrea Manzoni, Gianluigi Rozza, Sandro Salsa:
Shape Optimization by Free-Form Deformation: Existence Results and Numerical Solution for Stokes Flows. J. Sci. Comput. 60(3): 537-563 (2014) - 2013
- [j8]Gianluigi Rozza, Dinh Bao Phuong Huynh, Andrea Manzoni:
Reduced basis approximation and a posteriori error estimation for Stokes flows in parametrized geometries: roles of the inf-sup stability constants. Numerische Mathematik 125(1): 115-152 (2013) - [j7]Peng Chen, Alfio Quarteroni, Gianluigi Rozza:
Stochastic Optimal Robin Boundary Control Problems of Advection-Dominated Elliptic Equations. SIAM J. Numer. Anal. 51(5): 2700-2722 (2013) - [j6]Peng Chen, Alfio Quarteroni, Gianluigi Rozza:
A Weighted Reduced Basis Method for Elliptic Partial Differential Equations with Random Input Data. SIAM J. Numer. Anal. 51(6): 3163-3185 (2013) - [j5]Federico Negri, Gianluigi Rozza, Andrea Manzoni, Alfio Quarteroni:
Reduced Basis Method for Parametrized Elliptic Optimal Control Problems. SIAM J. Sci. Comput. 35(5) (2013) - [c4]Paolo Pacciarini, Gianluigi Rozza:
Reduced Basis Approximation of Parametrized Advection-Diffusion PDEs with High Péclet Number. ENUMATH 2013: 419-426 - 2012
- [j4]Toni Lassila, Alfio Quarteroni, Gianluigi Rozza:
A Reduced Basis Model with Parametric Coupling for Fluid-Structure Interaction Problems. SIAM J. Sci. Comput. 34(2) (2012) - [c3]Andrea Manzoni, Toni Lassila, Alfio Quarteroni, Gianluigi Rozza:
A Reduced-Order Strategy for Solving Inverse Bayesian Shape Identification Problems in Physiological Flows. HPSC 2012: 145-155 - 2011
- [c2]Toni Lassila, Andrea Manzoni, Gianluigi Rozza:
Reduction Strategies for Shape Dependent Inverse Problems in Haemodynamics. System Modelling and Optimization 2011: 397-406
2000 – 2009
- 2009
- [j3]Simone Deparis, Gianluigi Rozza:
Reduced basis method for multi-parameter-dependent steady Navier-Stokes equations: Applications to natural convection in a cavity. J. Comput. Phys. 228(12): 4359-4378 (2009) - 2006
- [j2]Valery I. Agoshkov, Alfio Quarteroni, Gianluigi Rozza:
A Mathematical Approach in the Design of Arterial Bypass Using Unsteady Stokes Equations. J. Sci. Comput. 28(2-3): 139-165 (2006) - [j1]Valery I. Agoshkov, Alfio Quarteroni, Gianluigi Rozza:
Shape Design in Aorto-Coronaric Bypass Anastomoses Using Perturbation Theory. SIAM J. Numer. Anal. 44(1): 367-384 (2006) - 2005
- [c1]Alfio Quarteroni, Gianluigi Rozza, Luca Dedè, Annalisa Quaini:
Numerical Approximation of a Control Problem for Advection-Diffusion Processes. System Modelling and Optimization 2005: 261-273
Coauthor Index
[j79] [i138] [j77] [d27] [d26] [d25] [d24] [i136] [i121] [i120] [j69] [j68] [j67] [j60] [j56] [j55] [d23] [d22] [d21] [d20] [d19] [d18] [d17] [d16] [d15] [d14] [d13] [i108] [i106] [i101] [i98] [c7] [i70] [i67] [i66] [j43] [j42] [i60] [i46] [i41] [i40] [i37] [j40] [i32] [i30] [i29] [i16] [i10] [j26] [j25] [d10] [d9] [d8] [d7] [d6] [d5] [d4] [d3] [d2] [d1]
Martin W. Hess
aka: Martin Wilfried Hess
aka: Martin Wilfried Hess
[j82] [j81] [j78] [i142] [j77] [j75] [j73] [i134] [i132] [i125] [i124] [i121] [i113] [j70] [j66] [j63] [j57] [i110] [i109] [i103] [i102] [i99] [i94] [i93] [i91] [i90] [i89] [i82] [i77] [i75] [i74] [i71] [i69] [i67] [i63] [i61] [d12] [i59] [i50] [i46] [i38] [j40] [j39] [j35] [i32] [i27] [j32] [i14] [i12] [i11] [i5] [i4]
[j79] [j72] [d27] [d26] [d25] [d24] [i136] [i120] [i114] [j69] [d22] [d21] [d20] [d19] [d18] [d17] [d16] [d15] [d14] [d13] [i106] [i73] [j43] [j42] [j41] [i60] [i52] [i49] [i36] [i34] [j40] [i32] [i29] [i27] [i25] [i19] [j31] [d11] [i15] [i10] [i5] [j27] [j26] [j25] [d10] [d9] [d8] [d7] [d6] [d5] [d4] [d3] [d2] [d1]
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