Cao-WenBo / NNfoil
A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation
☆14Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for NNfoil
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆26Updated 7 months ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆18Updated 2 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆15Updated 3 years ago
- ☆28Updated 2 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆31Updated 5 months ago
- Physics-informed neural networks for two-phase flow problems☆48Updated last year
- POD-PINN code and manuscript☆45Updated 4 years ago
- ☆53Updated 10 months ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆26Updated 2 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆55Updated 7 months ago
- Discontinuity Computing Using Physics-Informed Neural Network☆21Updated 6 months ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆17Updated 5 months ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆23Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆19Updated last year
- This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"☆27Updated 7 months ago
- ☆28Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆56Updated last year
- PDE Preserved Neural Network☆32Updated 4 months ago
- DNS data of flows over periodic hills with parameterized geometries, for data-driven turbulence modeling☆31Updated last year
- PINN in solving Navier–Stokes equation☆75Updated 4 years ago
- Use deep learning to learn a turbulence model from high fedelity data. The model can reasonably predict other turbulent flows.☆17Updated 5 years ago
- Companion code for Data-Driven Resolvent Analysis☆17Updated 3 years ago
- Soving heat transfer problems using PINN with tf2.0☆18Updated 3 years ago
- Physics-guided neural network framework for elastic plates☆32Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆53Updated 3 years ago
- ☆31Updated 3 years ago
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆45Updated 2 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆14Updated last year
- POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for F…☆26Updated 4 years ago
- XPINN code written in TensorFlow 2☆26Updated last year