Cover Image

Hybrid Reduced-Order Models for Turbulent Flows Using Recurrent Neural Architectures

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Imtiaz, Haroon, Akhtar, Imran, Hajj, Muhammad R.
Format:	Preprint
Published:	2025
Subjects:	Fluid Dynamics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VIVALDy: A Hybrid Generative Reduced-Order Model for Turbulent Flows, Applied to Vortex-Induced Vibrations
by: Tonioni, Niccolò, et al.
Published: (2025)

Superresolving Non-linear PDE Dynamics with Reduced-Order Autodifferentiable Ensemble Kalman Filtering For Turbulence Modeling and Flow Regulation
by: Dhingra, Mrigank, et al.
Published: (2025)

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

Enhancing Thrust in Flapping Airfoils Through Wake Interactions with Oscillating Cylinder
by: Khan, Amir, et al.
Published: (2024)

Evaluation of Turbulence Models and Boundary Conditions for Hybrid Ventilation in Reduced-scale Classroom Model
by: Singh, Deep Narayan, et al.
Published: (2025)

NeuralFVM: Neural-physics-based Finite Volume Method for Turbulent Flows Using the $k$-$ω$ Model
by: Xue, Tingkai, et al.
Published: (2026)

Nonlinear Reduced-Order Modeling of Compressible Flow Fields Using Deep Learning and Manifold Learning
by: Mufti, Bilal, et al.
Published: (2024)

$\texttt{CRLS}$: Convolutional Regularized Least Squares Framework for Reduced Order Modeling of Transonic Flows
by: Bilal, Muhammad, et al.
Published: (2025)

Bayesian-Enhanced Galerkin-Based Reduced Order Modelling for Unsteady Compressible Flows
by: Yang, Bijie, et al.
Published: (2026)

Manifold Learning with Implicit Physics Embedding for Reduced-Order Flow-Field Modeling
by: Wang, Weiji, et al.
Published: (2026)

Emergence of Purely Elasto-Plastic Turbulence in Shear Flows
by: Abdullah, Muhammad, et al.
Published: (2026)

Finite Volume Physical Informed Neural Network (FV-PINN) with Reduced Derivative Order for Incompressible Flows
by: Su, Zijie, et al.
Published: (2024)

Reduced-Order Hydrodynamic Modelling of a Sphere Near a Wall Using Sparse Regression and Neural Operators
by: Hoffman, Zev, et al.
Published: (2025)

Turbulent Snow Transport and Accumulation: New Reduced-Order Models and Diagnostics
by: Aksamit, Nikolas O., et al.
Published: (2025)

SIMR-NO: A Spectrally-Informed Multi-Resolution Neural Operator for Turbulent Flow Super-Resolution
by: Abid, Muhammad, et al.
Published: (2026)

Characterizing the Role of Hind Flippers in Hydrodynamics of A Harbor Seal
by: Fardi, Amirhossein, et al.
Published: (2025)

Characterizing Turbulence at a Forest Edge: Comparing Sub-filter Scale Turbulence Models in Simulations of Flow over a Canopy
by: Perez, Dorianis M., et al.
Published: (2024)

Reduced Subgrid Scale Terms in Three-Dimensional Turbulence
by: Hoekstra, Rik, et al.
Published: (2025)

Wave-Particle Turbulence Simulation of Spatially Developing Round Jets: Turbulent Flow Modeling and Method Validation
by: Yang, Xiaojian, et al.
Published: (2025)

Enhanced Wall Boundary Modeling for Turbulent Flows Using the Lattice Boltzmann Method with Adaptive Cartesian Grids
by: Ponsin, Jorge, et al.
Published: (2026)

An Architecture-Agnostic High-Order Discontinuous Galerkin Framework for Compressible Flows
by: Starr, Spencer, et al.
Published: (2026)

Adaptive Dissipation in the Smagorinsky Model for Turbulence in Boundary-Driven Flows
by: Santos, Rômulo Damasclin Chaves dos, et al.
Published: (2024)

Turbulent Pipe Flow of Thixotropic Fluids
by: Yousuf, Noman, et al.
Published: (2025)

Inferring the Turbulent Breakup of Colloidal Aggregates Using Graph Neural Networks
by: Buzzicotti, Michele, et al.
Published: (2026)

Using Physics Informed Neural Network (PINN) and Neural Network (NN) to Improve a $k-ω$ Turbulence Model
by: Davidson, Lars
Published: (2025)

Assessment of a Multiphase Formulation of One-Dimensional Turbulence using Direct Numerical Simulation of a Decaying Turbulent Interfacial Flow
by: Movaghar, A., et al.
Published: (2024)

A High-Order Analytical Extension of the Corrected Smagorinsky Model for Non-Equilibrium Turbulent Flow
by: Santos, Rômulo Damasclin Chaves dos
Published: (2024)

Reduced Basis Model for Compressible Flow
by: Staggl, Marian, et al.
Published: (2025)

A Divide-and-Conquer Machine Learning Approach for Modelling Turbulent Flows
by: Man, Anthony, et al.
Published: (2024)

On Deep-Learning-Based Closures for Algebraic Surrogate Models of Turbulent Flows
by: Eiximeno, Benet, et al.
Published: (2024)

A Hybrid Discretize-then-Project Reduced Order Model for Turbulent Flows on Collocated Grids with Data-Driven Closure
by: Rooholamin, Nadim, et al.
Published: (2026)

A Unified Spectrum for Turbulence in Microfluidic Flow
by: Kuan, Chit Yau, et al.
Published: (2025)

Acceleration is the Key to Drag Reduction in Turbulent Flow
by: Ding, Liuyang, et al.
Published: (2023)

Quantifying Model Uncertainty of Neural Network-based Turbulence Closures
by: Grogan, Cody, et al.
Published: (2024)

A Differentiable Programming Framework for Accurate and Stable Reduced-Order Modeling of Chaotic Flows
by: Kumar, Anant, et al.
Published: (2026)

Flow-Induced Vibration of Flexible Hydrofoil Within Cavitating Turbulent Flow
by: Cheng, Zhi, et al.
Published: (2024)

Study of Turbulence and Pressure Recovery in the Heat Pipe Vapor Flow Using the Spectral-Element Method
by: Dutra, Carolina Bourdot, et al.
Published: (2024)

Reduced-Order Modelling and Closed-Loop Control of the Cylinder Wake
by: Vojković, Tea, et al.
Published: (2024)

Data-driven Turbulence Modeling for Separated Flows Considering Non-Local Effect
by: Wu, Chenyu, et al.
Published: (2025)

Data-driven Augmentation of a Turbulence Model in Three-dimensional Separated Flows
by: Wu, Chenyu, et al.
Published: (2025)