Image de couverture de livre

A Review of Equation-Based and Data-Driven Reduced Order Models featuring a Hybrid cardiovascular application

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Siena, Pierfrancesco, Africa, Pasquale Claudio, Girfoglio, Michele, Rozza, Gianluigi
Format:	Preprint
Publié:	2025
Sujets:	Numerical Analysis Medical Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A hybrid Reduced Order Model to enforce outflow pressure boundary conditions in computational haemodynamics
par: Siena, Pierfrancesco, et autres
Publié: (2025)

On the accuracy and efficiency of reduced order models: towards real-world applications
par: Siena, Pierfrancesco, et autres
Publié: (2024)

Stabilized POD Reduced Order Models for convection-dominated incompressible flows
par: Siena, Pierfrancesco, et autres
Publié: (2024)

On an adjoint-based numerical approach for time-dependent optimal control problems of biomedical interest
par: Mirzaiyan, Zahra, et autres
Publié: (2025)

Projection-based Reduced Order Modelling for Unsteady Parametrized Optimal Control Problems in 3D Cardiovascular Flows
par: Rathore, Surabhi, et autres
Publié: (2024)

A brief review of Reduced Order Models using intrusive and non-intrusive techniques
par: Padula, Guglielmo, et autres
Publié: (2024)

On the accuracy and efficiency of reduced order models: towards real-world applications
par: Siena, Pierfrancesco, et autres
Publié: (2024)

Combining Extended Convolutional Autoencoders and Reservoir Computing for Accurate Reduced-Order Predictions of Atmospheric Flows
par: Hajisharifi, Arash, et autres
Publié: (2025)

Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction
par: D'Inverno, Giuseppe Alessio, et autres
Publié: (2024)

On the choice of proper outlet boundary conditions for numerical simulation of cardiovascular flows
par: Mirzaiyan, Zahra, et autres
Publié: (2025)

Computational study of numerical flux schemes for mesoscale atmospheric flows in a Finite Volume framework
par: Clinco, Nicola, et autres
Publié: (2024)

Data-driven reduced order modeling of a two-layer quasi-geostrophic ocean model
par: Besabe, Lander, et autres
Publié: (2024)

Generative Models for Parameter Space Reduction applied to Reduced Order Modelling
par: Padula, Guglielmo, et autres
Publié: (2025)

A Finite Volume approximation of the Navier-Stokes equations with nonlinear filtering stabilization
par: Girfoglio, Michele, et autres
Publié: (2019)

Physics Informed Neural Network Framework for Unsteady Discretized Reduced Order System
par: Halder, Rahul, et autres
Publié: (2023)

Randomized Proper Orthogonal Decomposition for data-driven reduced order modeling of a two-layer quasi-geostrophic ocean model
par: Besabe, Lander, et autres
Publié: (2025)

Linear and nonlinear filtering for a two-layer quasi-geostrophic ocean model
par: Besabe, Lander, et autres
Publié: (2024)

Data-driven Closure Strategies for Parametrized Reduced Order Models via Deep Operator Networks
par: Ivagnes, Anna, et autres
Publié: (2025)

Generative Adversarial Reduced Order Modelling
par: Coscia, Dario, et autres
Publié: (2023)

Optimisation-Based Coupling of Finite Element Model and Reduced Order Model for Computational Fluid Dynamics
par: Prusak, Ivan, et autres
Publié: (2024)

Data-driven Optimization for the Evolve-Filter-Relax regularization of convection-dominated flows
par: Ivagnes, Anna, et autres
Publié: (2025)

A Deep-Learning Enhanced Gappy Proper Orthogonal Decomposition Method for Conjugate Heat Transfer Problem
par: Hajisharifi, Arash, et autres
Publié: (2025)

A LSTM-enhanced surrogate model to simulate the dynamics of particle-laden fluid systems
par: Hajisharifi, Arash, et autres
Publié: (2024)

Enhancing non-intrusive Reduced Order Models with space-dependent aggregation methods
par: Ivagnes, Anna, et autres
Publié: (2024)

Parametric Intrusive Reduced Order Models enhanced with Machine Learning Correction Terms
par: Ivagnes, Anna, et autres
Publié: (2024)

Optimal Transport-Based Displacement Interpolation with Data Augmentation for Reduced Order Modeling of Nonlinear Dynamical Systems
par: Khamlich, Moaad, et autres
Publié: (2024)

A Shape Optimization Pipeline for Marine Propellers by means of Reduced Order Modeling Techniques
par: Ivagnes, Anna, et autres
Publié: (2023)

Optimal experimental design with k-space data: application to inverse hemodynamics
par: Löcke, Miriam, et autres
Publié: (2025)

Introduction to the Combination of Reduced Order Models and Domain Decomposition: State of the Art and Perspectives
par: Ruan, Shenhui, et autres
Publié: (2026)

Computational Orthodontic Force Simulation: A Review
par: Ahmad, Waheed, et autres
Publié: (2025)

Model-Based Perfusion Reconstruction with Time Separation Technique in Cone-Beam CT Dynamic Liver Perfusion Imaging
par: Haseljić, Hana, et autres
Publié: (2024)

Reducing acquisition time and radiation damage: data-driven subsampling for spectro-microscopy
par: Meier, Maike, et autres
Publié: (2026)

Review on vortex dynamics in the left ventricle as an early diagnosis marker for heart diseases and its treatment outcomes
par: Nagargoje, Mahesh S., et autres
Publié: (2024)

Efficient and Accurate Surrogate Modeling of Turbulent Flows via Space-Dependent Aggregation and Reduced Order Models
par: Zappi, Piero, et autres
Publié: (2026)

Optimized Bayesian Framework for Inverse Heat Transfer Problems Using Reduced Order Methods
par: Bakhshaei, Kabir, et autres
Publié: (2024)

Complex Wavelet-Based Sinogram Segmentation for Metal Artifact Reduction in Cone-Beam CT
par: Rautio, Siiri, et autres
Publié: (2026)

Modeling and simulation of electrodiffusion in dense reconstructions of cerebral tissue
par: Herlyng, Halvor, et autres
Publié: (2025)

Data-Driven POD-Galerkin Reduced Order Model for Turbulent Flows
par: Hijazi, Saddam, et autres
Publié: (2019)

Computational Modeling of Selective Capture Mechanisms in Conduction System Pacing
par: Kariman, Mohammadreza, et autres
Publié: (2025)

Quantifying the Influence of Combined Lung and Kidney Support Using a Cardiovascular Model and Sensitivity Analysis-Informed Parameter Identification
par: Thiel, Jan-Niklas, et autres
Publié: (2024)