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Moaad Khamlich
2024-2025Related publication(s):
- Optimal Transport–Inspired Deep Learning Framework for Slow-Decaying Kolmogorov \(n\)-Width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel (2025)
- Optimal transport-based displacement interpolation with data augmentation for reduced order modeling of nonlinear dynamical systems (2025)
- A physics-based reduced order model for urban air pollution prediction (2023)
- Model order reduction for bifurcating phenomena in fluid-structure interaction problems (2022)
- Chapter 15: Reduced Order Models for Bifurcating Phenomena in Fluid-Structure Interaction Problems (2022)
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Giulio Ortali
2024-2025Related publication(s):
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Harshith Gowrachari
2024-2025Related publication(s):
- Towards Real-Time Digital Twins in Steelmaking: The Role of Reduced Order Methods in Continuous Casting Tundish Process (2025)
- Model Reduction for Transport-Dominated Problems via Cross-Correlation Based Snapshot Registration (2025)
- Non-intrusive model reduction of advection-dominated hyperbolic problems using neural network shift augmented manifold transformation (2024)
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Sajad Salavatid...
2024-2025Related publication(s):
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Pierfrancesco Siena
2024-2025Related publication(s):
- A hybrid reduced order model to enforce outflow pressure boundary conditions in computational hemodynamics (2025)
- A reduced order model formulation for left atrium flow: an atrial fibrillation case (2024)
- On the accuracy and efficiency of reduced order models: Towards real-world applications (2024)
- Data-Driven Reduced Order Modelling for Patient-Specific Hemodynamics of Coronary Artery Bypass Grafts with Physical and Geometrical Parameters (2023)
- Fast and accurate numerical simulations for the study of coronary artery bypass grafts by artificial neural networks (2023)
- A data-driven reduced order method for parametric optimal blood flow control (2022)
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Valentin Eric B...
2023-2024Related publication(s):
- A hybrid reduced-order model for segregated fluid-structure interaction solvers in an ALE approach at high Reynolds number (2024)
- A segregated reduced order model of a pressure-based solver for turbulent compressible flows (2024)
- A reduced-order model for segregated fluid-structure interaction solvers based on an ALE approach (2022)
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Valentin Eric B...
2023-2024Related publication(s):
- A hybrid reduced-order model for segregated fluid-structure interaction solvers in an ALE approach at high Reynolds number (2024)
- A segregated reduced order model of a pressure-based solver for turbulent compressible flows (2024)
- A reduced-order model for segregated fluid-structure interaction solvers based on an ALE approach (2022)
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Ivan Prusak
2022-2023 -
Ivan Prusak
2022-2023 -
Francesco Romor
2022-2023Related publication(s):
- Generative models for the deformation of industrial shapes with linear geometric constraints: Model order and parameter space reductions. (2024)
- Non-linear manifold reduced-order models with convolutional autoencoders and reduced over-collocation method (2023)
- Friedrichs' systems discretized with the Discontinuous Galerkin method: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions (2023)
- Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations (2023)
- Kernel-based active subspaces with application to computational fluid dynamics parametric problems using discontinuous Galerkin method (2022)
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis (2021)
- Multi-fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces (2021)
- A local approach to parameter space reduction for regression and classification tasks (2021)
- Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering (2021)
- Kernel-based Active Subspaces with application to CFD parametric problems using Discontinuous Galerkin method (2020)
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Nirav Shah
2021-2022Related publication(s):
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Laura Meneghetti
2021-2022 -
Marco Tezzele
2020-2021Related publication(s):
- A Data-Driven Partitioned Approach for the Resolution of Time-Dependent Optimal Control Problems with Dynamic Mode Decomposition (2023)
- Kernel-based active subspaces with application to computational fluid dynamics parametric problems using discontinuous Galerkin method (2022)
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis (2021)
- Multi-fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces (2021)
- A local approach to parameter space reduction for regression and classification tasks (2021)
- Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering (2021)
- A supervised learning approach involving active subspaces for an efficient genetic algorithm in high-dimensional optimization problems (2021)
- On the comparison of LES data-driven reduced order approaches for hydroacoustic analysis (2021)
- Hull Shape Design Optimization with Parameter Space and Model Reductions, and Self-Learning Mesh Morphing (2021)
- Basic ideas and tools for projection-based model reduction of parametric partial differential equations (2020)
- Kernel-based Active Subspaces with application to CFD parametric problems using Discontinuous Galerkin method (2020)
- Enhancing CFD predictions in shape design problems by model and parameter space reduction (2020)
- Reduced order isogeometric analysis approach for pdes in parametrized domains (2020)
- Advances in reduced order methods for parametric industrial problems in computational fluid dynamics (2020)
- A non-intrusive approach for the reconstruction of POD modal coefficients through active subspaces (2019)
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Monica Nonino
2019-2020Related publication(s):
- An optimisation–based domain–decomposition reduced order model for parameter–dependent non–stationary fluid dynamics problems (2024)
- An optimisation–based domain–decomposition reduced order model for the incompressible Navier-Stokes equations (2023)
- A Reduced Order Cut Finite Element method for geometrically parametrized steady and unsteady Navier–Stokes problems (2021)
- A Monolithic and a Partitioned, Reduced Basis Method for Fluid–Structure Interaction Problems (2021)
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Saddam Hijazi
2019-2020Related publication(s):
- Data-driven POD-Galerkin reduced order model for turbulent flows (2020)
- The Effort of Increasing Reynolds Number in Projection-Based Reduced Order Methods: from Laminar to Turbulent Flows (2020)
- Non-intrusive Polynomial Chaos Method Applied to Full-Order and Reduced Problems in Computational Fluid Dynamics: A Comparison and Perspectives (2020)
- POD-Galerkin reduced order methods for CFD using Finite Volume Discretisation: vortex shedding around a circular cylinder (2017)
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Federico Pichi
2019-2020Related publication(s):
- Model order reduction for bifurcating phenomena in fluid-structure interaction problems (2022)
- Driving bifurcating parametrized nonlinear PDEs by optimal control strategies: application to Navier–Stokes equations with model order reduction (2022)
- A Reduced Order technique to study bifurcating phenomena: application to the Gross-Pitaevskii equation (2020)
- Efficient computation of bifurcation diagrams with a deflated approach to reduced basis spectral element method (2020)
- Reduced basis approaches for parametrized bifurcation problems held by non-linear Von Kármán equations (2019)
- Reduced Basis Approximation and A Posteriori Error Estimation: Applications to Elasticity Problems in Several Parametric Settings (2018)
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Zakia Zainib
2018-2019Related publication(s):
- Reduced Order Methods for Parametrized Non-linear and Time Dependent Optimal Flow Control Problems, Towards Applications in Biomedical and Environmental Sciences (2021)
- Reduced order methods for parametric optimal flow control in coronary bypass grafts, toward patient-specific data assimilation (2020)
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Shafqat Ali
2017-2018Stabilized reduced basis methods for the approximation of parametrized viscous flowsRelated publication(s):
- A reduced basis stabilization for the unsteady Stokes and Navier-Stokes equations (2023)
- The Effort of Increasing Reynolds Number in Projection-Based Reduced Order Methods: from Laminar to Turbulent Flows (2020)
- Stabilized reduced basis methods for parametrized steady Stokes and Navier–Stokes equations (2020)
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Umberto Emil Morelli