Ali-Stanford / PointNetCFDLinks
Point-cloud deep learning for prediction of fluid flow fields on irregular geometries (supervised learning)
☆35Updated 2 months ago
Alternatives and similar repositories for PointNetCFD
Users that are interested in PointNetCFD are comparing it to the libraries listed below
Sorting:
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆27Updated 3 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆68Updated last year
- PINN for obtaining WSS from sparse data☆66Updated last year
- ☆41Updated 3 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆32Updated last year
- ☆34Updated 3 years ago
- ☆74Updated 9 months ago
- Physics-informed radial basis network☆31Updated last year
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆31Updated last year
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆89Updated 2 years ago
- Physics-guided neural network framework for elastic plates☆45Updated 3 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆66Updated 3 months ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆79Updated last year
- POD-PINN code and manuscript☆52Updated 9 months ago
- ☆40Updated 3 years ago
- ☆42Updated last year
- MIONet: Learning multiple-input operators via tensor product☆37Updated 2 years ago
- Modified Meshgraphnets with more features☆54Updated 6 months ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆56Updated 3 years ago
- Leaning Proper Orthogonal Decomposition coefficients using Deep Neural Networks.☆10Updated 5 years ago
- Physics-informed neural networks for two-phase flow problems☆66Updated 3 months ago
- ☆112Updated 6 months ago
- Laminar flow prediction using graph neural networks☆31Updated 7 months ago
- ☆22Updated 4 years ago
- This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"☆31Updated last year
- Second and fourth-order adaptive phase field modeling of fracture using PHT-splines in the framework of IGA.☆52Updated 4 years ago
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- ☆27Updated last year
- DNS data of flows over periodic hills with parameterized geometries, for data-driven turbulence modeling☆44Updated 2 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago