luo-yining / CFDBench
A large-scale benchmark for machine learning methods in fluid dynamics
☆185Updated 4 months ago
Alternatives and similar repositories for CFDBench:
Users that are interested in CFDBench are comparing it to the libraries listed below
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆171Updated 2 weeks ago
- PINN in solving Navier–Stokes equation☆97Updated 4 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆136Updated last year
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆95Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆69Updated 2 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆70Updated 2 years ago
- ☆107Updated 2 months ago
- ☆48Updated 4 months ago
- DeepONet & FNO (with practical extensions)☆284Updated last year
- ☆38Updated 2 years ago
- ☆24Updated 3 months ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆140Updated 4 years ago
- ☆38Updated 2 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆70Updated last year
- PINNs for 2D Incompressible Navier-Stokes Equation☆44Updated 11 months ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆171Updated 2 years ago
- Physics-informed neural network for solving fluid dynamics problems☆222Updated 4 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆30Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆84Updated 4 years ago
- Modified Meshgraphnets with more features☆40Updated 2 months ago
- Physics-informed neural networks for two-phase flow problems☆54Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆147Updated 11 months ago
- PINN program for computational mechanics☆106Updated last year
- physics-informed neural network for elastodynamics problem☆134Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆77Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆65Updated 3 years ago
- ☆12Updated 2 years ago
- ODIL (Optimizing a Discrete Loss) is a Python framework for solving inverse and data assimilation problems for partial differential equat…☆103Updated 3 months ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆220Updated 3 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆23Updated 2 years ago