Cover Image

Physics Informed Neural Network Framework for Unsteady Discretized Reduced Order System

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Halder, Rahul, Stabile, Giovanni, Rozza, Gianluigi
Format:	Preprint
Published:	2023
Subjects:	Numerical Analysis Computational Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Coupling Physics Informed Neural Networks with External Solvers
by: Halder, Rahul, et al.
Published: (2025)

Data-driven Closure Strategies for Parametrized Reduced Order Models via Deep Operator Networks
by: Ivagnes, Anna, et al.
Published: (2025)

Parametric Intrusive Reduced Order Models enhanced with Machine Learning Correction Terms
by: Ivagnes, Anna, et al.
Published: (2024)

Optimized Bayesian Framework for Inverse Heat Transfer Problems Using Reduced Order Methods
by: Bakhshaei, Kabir, et al.
Published: (2024)

A Deep-Learning Enhanced Gappy Proper Orthogonal Decomposition Method for Conjugate Heat Transfer Problem
by: Hajisharifi, Arash, et al.
Published: (2025)

Model Reduction for Transport-Dominated Problems via Cross-Correlation Based Snapshot Registration
by: Gowrachari, Harshith, et al.
Published: (2025)

Data-Driven POD-Galerkin Reduced Order Model for Turbulent Flows
by: Hijazi, Saddam, et al.
Published: (2019)

Deep Reinforcement Learning for the Heat Transfer Control of Pulsating Impinging Jets
by: Salavatidezfouli, Sajad, et al.
Published: (2023)

Model Order Reduction of Cerebrovascular Hemodynamics Using POD_Galerkin and Reservoir Computing_based Approach
by: Halder, Rahul, et al.
Published: (2026)

Generative Models for Parameter Space Reduction applied to Reduced Order Modelling
by: Padula, Guglielmo, et al.
Published: (2025)

Assessment of URANS and LES Methods in Predicting Wake Shed Behind a Vertical Axis Wind Turbine
by: Sheidani, Armin, et al.
Published: (2022)

Stochastic Parameter Prediction in Cardiovascular Problems
by: Bakhshaei, Kabir, et al.
Published: (2024)

Non-Intrusive Polynomial Chaos Method Applied to Full-Order and Reduced Problems in Computational Fluid Dynamics: a Comparison and Perspectives
by: Hijazi, Saddam, et al.
Published: (2019)

A reduced-order model for segregated fluid-structure interaction solvers based on an ALE approach
by: Ngan, Valentin Nkana, et al.
Published: (2023)

An efficient hyper reduced-order model for segregated solvers for geometrical parametrization problems
by: Ngan, Valentin Nkana, et al.
Published: (2026)

Non-intrusive model reduction of advection-dominated hyperbolic problems using neural network shift augmented manifold transformation
by: Gowrachari, Harshith, et al.
Published: (2024)

A segregated reduced order model of a pressure-based solver for turbulent compressible flows
by: Zancanaro, Matteo, et al.
Published: (2022)

Generative Adversarial Reduced Order Modelling
by: Coscia, Dario, et al.
Published: (2023)

ROM for Viscous, Incompressible Flow in Polygons -- exponential $n$-width bounds and convergence rate
by: Romor, Francesco, et al.
Published: (2025)

A Review of Equation-Based and Data-Driven Reduced Order Models featuring a Hybrid cardiovascular application
by: Siena, Pierfrancesco, et al.
Published: (2025)

A brief review of Reduced Order Models using intrusive and non-intrusive techniques
by: Padula, Guglielmo, et al.
Published: (2024)

A hybrid reduced-order model for segregated fluid-structure interaction solvers in an ALE approach at high Reynolds number
by: Ngan, Valentin Nkana, et al.
Published: (2024)

A Predictive Surrogate Model for Heat Transfer of an Impinging Jet on a Concave Surface
by: Salavatidezfouli, Sajad, et al.
Published: (2024)

Enhancing non-intrusive Reduced Order Models with space-dependent aggregation methods
by: Ivagnes, Anna, et al.
Published: (2024)

A Shape Optimization Pipeline for Marine Propellers by means of Reduced Order Modeling Techniques
by: Ivagnes, Anna, et al.
Published: (2023)

Combining Extended Convolutional Autoencoders and Reservoir Computing for Accurate Reduced-Order Predictions of Atmospheric Flows
by: Hajisharifi, Arash, et al.
Published: (2025)

Optimisation-Based Coupling of Finite Element Model and Reduced Order Model for Computational Fluid Dynamics
by: Prusak, Ivan, et al.
Published: (2024)

Introduction to the Combination of Reduced Order Models and Domain Decomposition: State of the Art and Perspectives
by: Ruan, Shenhui, et al.
Published: (2026)

Reservoir computing based predictive reduced order model for steel grade intermixing in an industrial continuous casting tundish
by: Gowrachari, Harshith, et al.
Published: (2025)

A hybrid Reduced Order Model to enforce outflow pressure boundary conditions in computational haemodynamics
by: Siena, Pierfrancesco, et al.
Published: (2025)

Stabilized POD Reduced Order Models for convection-dominated incompressible flows
by: Siena, Pierfrancesco, et al.
Published: (2024)

Projection-based Reduced Order Modelling for Unsteady Parametrized Optimal Control Problems in 3D Cardiovascular Flows
by: Rathore, Surabhi, et al.
Published: (2024)

A LSTM-enhanced surrogate model to simulate the dynamics of particle-laden fluid systems
by: Hajisharifi, Arash, et al.
Published: (2024)

A Multi-Fidelity Parametric Framework for Reduced-Order Modeling using Optimal Transport-based Interpolation: Applications to Diffused-Interface Two-Phase Flows
by: Khamlich, Moaad, et al.
Published: (2026)

Modal Analysis of the Wake Shed Behind a Horizontal Axis Wind Turbine with Flexible Blades
by: Salavatidezfouli, Sajad, et al.
Published: (2023)

Efficient and Accurate Surrogate Modeling of Turbulent Flows via Space-Dependent Aggregation and Reduced Order Models
by: Zappi, Piero, et al.
Published: (2026)

Physics-Infused Reduced-Order Modeling for Analysis of Multi-Layered Hypersonic Thermal Protection Systems
by: Venegas, Carlos A. Vargas, et al.
Published: (2025)

Deep learning-based reduced-order methods for fast transient dynamics
by: Cracco, Martina, et al.
Published: (2022)

A new data-driven energy-stable Evolve-Filter-Relax model for turbulent flow simulation
by: Ivagnes, Anna, et al.
Published: (2025)

Inverse Physics-Informed Neural Networks for transport models in porous materials
by: Berardi, Marco, et al.
Published: (2024)