In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the NeurIPS 2022 Datasets and Benchmarks Track conference.
☆59Jan 9, 2025Updated last year
Alternatives and similar repositories for AirfRANS
Users that are interested in AirfRANS are comparing it to the libraries listed below
Sorting:
- Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.☆25Jan 9, 2025Updated last year
- The AirfRANS dataset makes available numerical resolutions of the incompressible Reynolds-Averaged Navier–Stokes (RANS) equations over th…☆18Jan 9, 2025Updated last year
- This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"☆33Mar 11, 2024Updated last year
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆83Nov 4, 2024Updated last year
- ☆11Jan 7, 2025Updated last year
- Multi-head attention network for airfoil flow field prediction☆17Sep 13, 2022Updated 3 years ago
- ☆11Mar 31, 2024Updated last year
- PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Mo…☆219May 28, 2023Updated 2 years ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆76Nov 21, 2025Updated 3 months ago
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Jul 19, 2024Updated last year
- Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)☆15Aug 1, 2021Updated 4 years ago
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆35Jan 18, 2024Updated 2 years ago
- Physics Informed Fourier Neural Operator☆29Nov 21, 2024Updated last year
- Easily convert OpenFOAM cases into dataframes for machine learning☆12Jan 12, 2025Updated last year
- A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning☆336Nov 15, 2022Updated 3 years ago
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆34Dec 7, 2025Updated 2 months ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆40Mar 10, 2025Updated 11 months ago
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆17Jun 1, 2023Updated 2 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆73Jan 13, 2024Updated 2 years ago
- Python 2D Navier-Stokes solver☆27Aug 4, 2025Updated 6 months ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Oct 23, 2018Updated 7 years ago
- ☆18Jul 29, 2024Updated last year
- Multiwavelets-based operator model☆69Feb 16, 2022Updated 4 years ago
- A Python toolkit to calculate and visualize turbulence anisotropy and turbulent viscosity from Reynolds stress tensor data.☆21Dec 22, 2023Updated 2 years ago
- Python scripts related to aerodynamic analysis and shape optimization☆19Jan 24, 2020Updated 6 years ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- [ICLR 2023] Factorized Fourier Neural Operators☆189Oct 13, 2023Updated 2 years ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆305Jun 2, 2025Updated 8 months ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆259Oct 25, 2025Updated 4 months ago
- Ahmed bluff body geometry (CAD + STL) and OpenFOAM (v7) validation cases☆22May 26, 2020Updated 5 years ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆26Nov 6, 2024Updated last year
- ☆23Dec 16, 2021Updated 4 years ago
- This repository consists of two-step training DeepONet code.☆14May 22, 2024Updated last year
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆12Apr 5, 2023Updated 2 years ago
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆14Dec 24, 2025Updated 2 months ago
- ☆11Jan 3, 2025Updated last year
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆42Sep 30, 2022Updated 3 years ago
- Empowering Scientific Research with AI Assistance! Open Source Code for Data-Driven Dimensional Analysis.☆14Aug 7, 2025Updated 6 months ago
- ☆40Jul 20, 2023Updated 2 years ago