WillDreamer / Awesome-AI4CFDLinks
Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey
☆251Updated 6 months ago
Alternatives and similar repositories for Awesome-AI4CFD
Users that are interested in Awesome-AI4CFD are comparing it to the libraries listed below
Sorting:
- A large-scale benchmark for machine learning methods in fluid dynamics☆251Updated 2 months ago
- Modified Meshgraphnets with more features☆57Updated 11 months ago
- PINN in solving Navier–Stokes equation☆120Updated 5 years ago
- Physics-informed neural network for solving fluid dynamics problems☆258Updated 4 years ago
- ☆117Updated 10 months ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆124Updated 2 months ago
- ☆33Updated 11 months ago
- Physics-informed neural networks for two-phase flow problems☆72Updated 3 months ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆33Updated last year
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆89Updated last year
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆155Updated 5 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆184Updated last year
- ☆44Updated 3 years ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆250Updated 2 months ago
- An open-source Python platform of coupling deep reinforcement learning and OpenFOAM☆174Updated 9 months ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆38Updated 3 years ago
- ☆50Updated 3 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆228Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆83Updated 4 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆59Updated 3 years ago
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆33Updated last year
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆57Updated 3 years ago
- A GNN-based PDE solver without pre-computed data☆38Updated 6 months ago
- MIONet: Learning multiple-input operators via tensor product☆42Updated 3 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆201Updated 2 years ago
- Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)☆48Updated last year
- PINNs for 2D Incompressible Navier-Stokes Equation☆57Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆75Updated 2 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆37Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆165Updated last year