YYgroup / AutoCFDLinks
☆29Updated this week
Alternatives and similar repositories for AutoCFD
Users that are interested in AutoCFD are comparing it to the libraries listed below
Sorting:
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆316Updated 8 months ago
- Foam-Agent: An end-to-end, composable multi-agent framework for automating CFD simulations in OpenFOAM. NeurIPS 2025 Machine Learning and…☆80Updated last week
- A large-scale benchmark for machine learning methods in fluid dynamics☆260Updated 3 months ago
- Modified Meshgraphnets with more features☆57Updated last year
- ☆36Updated 6 months ago
- Codes for paper "Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning", published on AIAA Aviation F…☆22Updated 2 years ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆260Updated 3 months ago
- ☆33Updated last year
- PINNs for 2D Incompressible Navier-Stokes Equation☆58Updated last year
- ☆60Updated 10 months ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆57Updated last year
- ☆60Updated last week
- ☆117Updated last year
- A GNN-based PDE solver without pre-computed data☆39Updated 7 months ago
- AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries☆21Updated 6 months ago
- Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence☆81Updated 11 months ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆39Updated 3 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆92Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated last year
- Turbulent flow network source code☆71Updated 10 months ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆54Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆92Updated 5 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆132Updated 3 months ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆32Updated 2 months ago
- MIONet: Learning multiple-input operators via tensor product☆44Updated 3 years ago
- A curated paper list for "Foundation Neural Operators: A Survey on Pretraining Methods, Data Ecosystems, and Efficient Adaptation".☆30Updated 2 weeks ago
- About code release of "Geometry-Aware Operator Transformer: A Generalizable Framework for PDE Solution Operators"☆19Updated last month
- Physics-encoded recurrent convolutional neural network☆48Updated 4 years ago
- Point-cloud deep learning for prediction of fluid flow fields on irregular geometries (supervised learning)☆43Updated 7 months ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆106Updated last year