Image de couverture de livre

Combining Machine Learning with Computational Fluid Dynamics using OpenFOAM and SmartSim

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Maric, Tomislav, Fadeli, Mohammed Elwardi, Rigazzi, Alessandro, Shao, Andrew, Weiner, Andre
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Fluid Dynamics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

twoPhaseInterTrackFoam: an OpenFOAM module for Arbitrary Lagrangian/Eulerian Interface Tracking with Surfactants and Subgrid-Scale Modeling
par: Schwarzmeier, Moritz, et autres
Publié: (2024)

OpenFOAMGPT: a RAG-Augmented LLM Agent for OpenFOAM-Based Computational Fluid Dynamics
par: Pandey, Sandeep, et autres
Publié: (2025)

DRLinFluids -- An open-source python platform of coupling Deep Reinforcement Learning and OpenFOAM
par: Wang, Qiulei, et autres
Publié: (2022)

Implementation and verification of the resolved Reynolds stress transport equations in OpenFOAM
par: Rincón, Mario J., et autres
Publié: (2025)

CoronaryHemodynamics: An Automated Simulation Framework for Coronary Artery Hemodynamics Using OpenFOAM
par: Mao, Yijin, et autres
Publié: (2025)

Assessment of modern shock capturing schemes for all-speed flows in the OpenFOAM framework
par: Ray, Anurag Adityanarayan, et autres
Publié: (2025)

upstreamFoam: an OpenFOAM-based solver for heterogeneous porous media at different scales
par: Lange, Roberto, et autres
Publié: (2023)

Wall-modeled large-eddy simulation of turbulent smooth body separation using the OpenFOAM flow solver
par: Hansen, Christoffer, et autres
Publié: (2024)

On the development of OpenFOAM solvers for simulating MHD micropolar fluid flows with or without the effect of micromagnetorotation
par: Aslani, Kyriaki-Evangelia, et autres
Publié: (2025)

A Workflow for Utilizing OpenFOAM Data Structure in Physics-Informed Deep Learning Training
par: Mao, Yijin, et autres
Publié: (2024)

Application of a Pressured-Based OpenFOAM Solver for Rotating Detonation Engines
par: Kwak, Keunjae, et autres
Publié: (2025)

uniGasFoam: a particle-based OpenFOAM solver for multiscale rarefied gas flows
par: Vasileiadis, Nikos, et autres
Publié: (2024)

cfdmfFTFoam: A front-tracking solver for multiphase flows on general unstructured grids in OpenFOAM
par: Amani, Ehsan
Publié: (2026)

Development of low-dissipative projection method framework integrating various high-order time integration schemes using OpenFOAM
par: Guo, Hao, et autres
Publié: (2023)

Characterisation and extension of a rigid body dynamics solver coupled with OpenFOAM for flight performance analysis of flapping-wing drones
par: Poletti, Romain, et autres
Publié: (2025)

Scalable CFD Simulations in Multi-Billion Voxel Micro-CT Images of Porous Materials Using OpenFOAM on ARCHER2
par: Maes, J., et autres
Publié: (2025)

Unstructured un-split geometrical Volume-of-Fluid methods -- A review
par: Maric, Tomislav, et autres
Publié: (2020)

Numerical wetting benchmarks -- advancing the plicRDF-isoAdvector unstructured Volume-of-Fluid (VOF) method
par: Asghar, Muhammad Hassan, et autres
Publié: (2023)

Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework
par: Gonzalez-Sieiro, Jesus, et autres
Publié: (2024)

Fluid wetting and penetration characteristics in T-shaped microchannels
par: Zhang, Huijie, et autres
Publié: (2024)

Stabilizing the unstructured Volume-of-Fluid method for capillary flows in microstructures using artificial viscosity
par: Nagel, Luise, et autres
Publié: (2023)

XRePIT: A deep learning-computational fluid dynamics hybrid framework implemented in OpenFOAM for fast, robust, and scalable unsteady simulations
par: Baral, Shilaj, et autres
Publié: (2025)

Dynamic mode decomposition of noisy flow data
par: Weiner, Andre, et autres
Publié: (2024)

Inconsistencies in Unstructured Geometric Volume-of-Fluid Methods for Two-Phase Flows with High Density Ratios
par: Liu, Jun, et autres
Publié: (2023)

A two-sided subgrid-scale model for mass transfer across fluid interfaces
par: Schwarzmeier, Moritz, et autres
Publié: (2025)

An unstructured finite-volume level set / front tracking method for two-phase flows with large density-ratios
par: Liu, Jun, et autres
Publié: (2021)

Experimental and Numerical Study of Microcavity Filling Regimes for Lab-on-a-Chip Applications
par: Nagel, Luise, et autres
Publié: (2024)

An OpenFOAM face-centred solver for incompressible flows robust to mesh distortion
par: Cortellessa, Davide, et autres
Publié: (2024)

Uncertainty Quantification in Computational Fluid Dynamics: Physics and Machine Learning Based Approaches
par: Chu, Minghan
Publié: (2023)

The initial acceleration of a buoyant spherical bubble revisited
par: Bothe, Dieter, et autres
Publié: (2024)

Experimental study of dynamic wetting behavior through curved microchannels with automated image analysis
par: Zhang, Huijie, et autres
Publié: (2024)

MetaOpenFOAM: an LLM-based multi-agent framework for CFD
par: Chen, Yuxuan, et autres
Publié: (2024)

Modal Analysis of Buffet Effects Induced by Ultrahigh Bypass Ratio Nacelle Installation
par: Spinner, Sebastian, et autres
Publié: (2026)

Casting Computational Fluid Mechanics into a Convex Quadratic Optimization Framework
par: Sababha, Hussam, et autres
Publié: (2025)

Fluid Intelligence: A Forward Look on AI Foundation Models in Computational Fluid Dynamics
par: Ashton, Neil, et autres
Publié: (2025)

Advanced Theoretical Analysis of Stability and Convergence in Computational Fluid Dynamics for Computer Graphics
par: Santos, Rômulo Damasclin Chaves dos
Publié: (2024)

Analytical and numerical validation of a plate-plate tribometer for measuring wall slip
par: Asghar, Muhammad Hassan, et autres
Publié: (2023)

Designing an Optimal Scoop for Holloman High-Speed Test Track Water Braking Mechanism using Computational Fluid Dynamics
par: Terrazas, Jose A., et autres
Publié: (2024)

Clustering the Flow: A Data-Driven Framework for Pattern Discovery in Fluid Dynamics
par: Martin, Juan Angel, et autres
Publié: (2026)

Variational Quantum Algorithms for Computational Fluid Dynamics
par: Jaksch, Dieter, et autres
Publié: (2022)