Image de couverture de livre

Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Barwey, Shivam, Pal, Pinaki, Patel, Saumil, Balin, Riccardo, Lusch, Bethany, Vishwanath, Venkatram, Maulik, Romit, Balakrishnan, Ramesh
Format:	Preprint
Publié:	2024
Sujets:	Fluid Dynamics Computational Engineering, Finance, and Science Machine Learning Computational Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling
par: Barwey, Shivam, et autres
Publié: (2024)

Interpretable A-posteriori Error Indication for Graph Neural Network Surrogate Models
par: Barwey, Shivam, et autres
Publié: (2023)

A note on the error analysis of data-driven closure models for large eddy simulations of turbulence
par: Chakraborty, Dibyajyoti, et autres
Publié: (2024)

Mesh-based Super-resolution of Detonation Flows with Multiscale Graph Transformers
par: Barwey, Shivam, et autres
Publié: (2025)

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models
par: Raut, Riddhiman, et autres
Publié: (2025)

Understanding Latent Timescales in Neural Ordinary Differential Equation Models for Advection-Dominated Dynamical Systems
par: Nair, Ashish S., et autres
Publié: (2024)

A Multimodal Vision Transformer-based Modeling Framework for Prediction of Fluid Flows in Energy Systems
par: Yalamanchi, Kiran, et autres
Publié: (2026)

Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective
par: Yang, Sunwoong, et autres
Publié: (2024)

Jacobian-Scaled K-means Clustering for Physics-Informed Segmentation of Reacting Flows
par: Barwey, Shivam, et autres
Publié: (2023)

Bayesian Model Selection for Complex Flows of Yield Stress Fluids
par: Rinkens, Aricia, et autres
Publié: (2026)

Higher order quantum reservoir computing for non-intrusive reduced-order models
par: Jain, Vinamr, et autres
Publié: (2024)

One Scale at a Time: Scale-Autoregressive Modeling for Fluid Flow Distributions
par: Lino, Mario, et autres
Publié: (2026)

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems
par: Shilpika, Shilpika, et autres
Publié: (2025)

JAX-Fluids 2.0: Towards HPC for Differentiable CFD of Compressible Two-phase Flows
par: Bezgin, Deniz A., et autres
Publié: (2024)

Scalable, Cloud-Based Simulations of Blood Flow and Targeted Drug Delivery in Retinal Capillaries
par: Amoudruz, Lucas, et autres
Publié: (2025)

Accelerated Computational Fluid Dynamics Simulations of Microfluidic Devices by Exploiting Higher Levels of Abstraction
par: Takken, Michel, et autres
Publié: (2023)

Fokker-Planck Central Moment Lattice Boltzmann Method for Effective Simulations of Fluid Dynamics
par: Schupbach, William, et autres
Publié: (2024)

Effects of Thermal Boundary Conditions on Natural Convection and Entropy Generation in Non-Newtonian Power-Law Fluids
par: Theisen, Lambert, et autres
Publié: (2026)

Deep Learning of Solver-Aware Turbulence Closures from Nudged LES Dynamics
par: Suriyanarayanan, Ashwin, et autres
Publié: (2026)

Gaussian Field Representations for Turbulent Flow: Compression, Scale Separation, and Physical Fidelity
par: Shenoy, Dhanush Vittal, et autres
Publié: (2026)

FluidFormer: Transformer with Continuous Convolution for Particle-based Fluid Simulation
par: Wang, Nianyi, et autres
Publié: (2025)

Development of a Cost-Effective Simulation Tool for Loss of Flow Accident Transients in High-Temperature Gas-cooled Reactors
par: Liu, Bo, et autres
Publié: (2025)

Higher-Order Discontinuous Galerkin Splitting Schemes for Fluids with Variable Viscosity
par: Schussnig, Richard, et autres
Publié: (2025)

WindsorML: High-Fidelity Computational Fluid Dynamics Dataset For Automotive Aerodynamics
par: Ashton, Neil, et autres
Publié: (2024)

Learning Fluid-Structure Interaction with Physics-Informed Machine Learning and Immersed Boundary Methods
par: Farea, Afrah, et autres
Publié: (2025)

DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics
par: Ashton, Neil, et autres
Publié: (2024)

AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for Incompressible, Low-Speed Bluff Body Aerodynamics
par: Ashton, Neil, et autres
Publié: (2024)

NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design
par: Yagoubi, Mouadh, et autres
Publié: (2024)

Interpretable Diagnostics and Adaptive Data Assimilation for Neural ODEs via Discrete Empirical Interpolation
par: Kim, Hojin, et autres
Publié: (2025)

A MgNO Method for Multiphase Flow in Porous Media
par: Liu, Xinliang, et autres
Publié: (2024)

A flux bounce-back scheme for the filtered Spectral Element Lattice Boltzmann Method
par: Zhao, Chunheng, et autres
Publié: (2025)

Reconstructing 3D Flow from 2D Data with Diffusion Transformer
par: Lei, Fan
Publié: (2024)

Robust experimental data assimilation for the Spalart-Allmaras turbulence model
par: Aulakh, Deepinder Jot Singh, et autres
Publié: (2023)

Operator Learning for Reconstructing Flow Fields from Sparse Measurements: an Energy Transformer Approach
par: Zhang, Qian, et autres
Publié: (2025)

Prediction of Steady-State Flow through Porous Media Using Machine Learning Models
par: Wang, Jinhong, et autres
Publié: (2026)

Scientific Machine Learning of Flow Resistance Using Universal Shallow Water Equations with Differentiable Programming
par: Liu, Xiaofeng, et autres
Publié: (2025)

Generative Super-Resolution of Turbulent Flows via Stochastic Interpolants
par: Schiødt, Martin, et autres
Publié: (2025)

Multiphase Flow Simulation of Blow-by and Fuel-in-Oil Dilution via the Piston Ring Pack Using the CFD Level-Set Method
par: Antony, Patrick, et autres
Publié: (2024)

Topological Separation of Vortices
par: Zafar, Adeel, et autres
Publié: (2024)

A weakly compressible SPH method for RANS simulation of wall-bounded turbulent flows
par: Wang, Feng, et autres
Publié: (2025)