WillDreamer / Awesome-AI4CFDLinks
Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey
☆245Updated 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☆247Updated last month
- Modified Meshgraphnets with more features☆57Updated 10 months ago
- PINN in solving Navier–Stokes equation☆117Updated 5 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆124Updated last month
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆87Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆73Updated 2 years ago
- Physics-informed neural networks for two-phase flow problems☆70Updated 2 months ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆180Updated last year
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆33Updated last year
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆198Updated 2 years ago
- Physics-informed neural network for solving fluid dynamics problems☆254Updated 4 years ago
- ☆43Updated 3 years ago
- ☆116Updated 10 months ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆152Updated 5 years ago
- MIONet: Learning multiple-input operators via tensor product☆39Updated 3 years ago
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆33Updated last year
- ☆32Updated 11 months ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆93Updated 3 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆57Updated 3 years ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆290Updated 6 months ago
- PINN program for computational mechanics☆128Updated last year
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆80Updated 4 years ago
- ☆52Updated last year
- Physics Informed Neural Networks: a starting step for CFD specialists☆37Updated 3 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆223Updated 2 years ago
- This is the code of my master thesis.☆168Updated 8 months ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆241Updated last month
- ☆48Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆163Updated last year
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆56Updated 3 years ago