BaratiLab / Airfoil-GCNNLinks
Graph Convolutional Networks for Unstructured Flow Fields
☆13Updated 3 years ago
Alternatives and similar repositories for Airfoil-GCNN
Users that are interested in Airfoil-GCNN are comparing it to the libraries listed below
Sorting:
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆38Updated 3 years ago
- This repository includes the implementation of the Physics Informed Neural Network and The Deep Energy Method on 1D, 2D boundary value an…☆15Updated 3 years ago
- ☆45Updated 3 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- ☆14Updated last year
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆33Updated 2 years ago
- Physics-informed radial basis network☆35Updated last year
- Soving heat transfer problems using PINN with tf2.0☆20Updated 4 years ago
- ☆21Updated last year
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆24Updated last year
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆59Updated 3 years ago
- Modified Meshgraphnets with more features☆56Updated 11 months ago
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆18Updated 2 years ago
- ☆92Updated last year
- POD-PINN code and manuscript☆57Updated last year
- Physics-informed neural networks for two-phase flow problems☆73Updated 3 months ago
- ☆18Updated last year
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆23Updated 2 years ago
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆34Updated 2 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆29Updated 2 years ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- Use of Turbulence Model (Spalart-Allmaras) with PINNs for mean flow reconstruction☆12Updated last year
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆33Updated last year
- Physics-guided neural network framework for elastic plates☆49Updated 3 years 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
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆38Updated 2 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆44Updated last year
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated 2 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆72Updated 8 months ago
- ☆33Updated last year