Tag: CFD

CFD

Diff-NekRS is an open-source framework that enables automatic differentiation through the spectral element CFD solver NekRS, enabling gradient backpropagation across multi-timestep rollouts to train neural correction networks for error mitigation.

CFD

Proposes a subcell-refined entropy-residual-driven limiter for high-order DG methods on Legendre-Gauss-Lobatto nodes, enabling robust simulation of under-resolved nonlinear hyperbolic systems while preserving accuracy via nearest-neighbor pairwise dissipation.

CFD

NVIDIA Earth-2 leverages AI atmospheric models integrated with observation data to provide high-resolution weather forecasts and decision support for weather-sensitive industries.

CFD

A comparative study benchmarking autoencoders against parsimonious diffusion maps (PDMs) grounded in classical numerical analysis for reduced-order modeling of Navier-Stokes turbulent flows.

CFD

A dataset of 2000 steady-state CFD simulations for a liquid-cooled dual-chip pin-fin cold plate, accompanied by a POD-NN surrogate model and code to reproduce all figures in the associated paper.

CFD

Presents physics-informed hemodynamic modeling for coronary intervention, enabling data-free prediction and sparse-data assimilation to overcome limitations of traditional numerical analysis and purely data-driven approaches.

Physics-informed Neural Network / CFD

A HuggingFace repository hosting a physics-informed neural network model for computational fluid dynamics, implementing physics constraints embedded within neural network architectures.

CFD Surrogate

A HuggingFace-hosted dataset repository for computational fluid dynamics surrogate modeling, containing data resources for CFD simulation and surrogate model development.

CFD Benchmark / Multi-Scenario

Multiphysics benchmark for computational fluid dynamics covering internal/external flows and thermal convection - includes transient and steady-state data.

Computational Fluid Dynamics

A large-scale CFD-generated wind field simulation dataset containing over 12,000 cases, designed for training and evaluating terrain-informed machine learning models to reconstruct fine-scale 3D wind fields

PDE Benchmark / Multi-Equation

Large-scale PDE benchmark covering heat, advection-diffusion and fluid dynamics - supports fair comparison of data-driven and physics-informed methods.

Aerodynamic Design / Surrogate Model

Airfoil aerodynamic simulation and surrogate study: large parametric CFD datasets of NACA airfoils plus FNO/DeepONet surrogate comparison.

CFD/Computational Fluid Dynamics

A comprehensive benchmark dataset for training and evaluating neural PDE solvers, containing six standard tasks on regular grids, structured grids, and irregular geometries, used for unified evaluation in the ICML 2024 paper Transolver.

CFD/Computational Fluid Dynamics

A large-scale benchmark dataset for machine learning in computational fluid dynamics, covering four classic CFD problems—lid-driven cavity, laminar pipe flow, dam-break, and flow around a cylinder—to evaluate neural operator generalization under unseen conditions.

CFD

Large-scale CFD-generated wind field dataset with over 12,000 cases, designed for training and evaluating the terrain-informed machine learning model FuXi-CFD for fine-scale 3D wind field reconstruction.

General-Purpose CFD Solver

The de facto open-source CFD solver covering incompressible/compressible flow, heat transfer, multiphase and combustion - the workhorse for generating physics-AI training data.

Aerodynamics / Design Optimization Solver

Open-source CFD and adjoint solver with built-in aerodynamic shape optimization, widely used for airfoil/aircraft analysis and gradient-driven design.

Automotive Aerodynamics / Large-Scale CFD

MIT's large-scale automotive aerodynamics dataset: 8,000 parametric car geometries with CFD flow fields, meshes and aerodynamic coefficients.

Differentiable Fluid Solver

Google Research's differentiable JAX-based fluid solver enabling end-to-end gradients for embedding neural networks into CFD time stepping.

Fluid / CFD - Airfoil RANS

Parametric airfoil RANS flow-field dataset - compact and ML-pipeline friendly, the go-to starting point for learning fluid surrogates.