JoshuaXu7 / PINN_porousLinks
Physics-informed neural networks for studying heat transfer in porous media
☆19Updated 6 months ago
Alternatives and similar repositories for PINN_porous
Users that are interested in PINN_porous are comparing it to the libraries listed below
Sorting:
- Physics-informed neural networks for two-phase flow problems☆72Updated 3 months ago
- ☆44Updated 3 years ago
- ☆90Updated last year
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆33Updated last year
- Physics Informed Neural Networks: a starting step for CFD specialists☆38Updated 3 years ago
- PINN program for computational mechanics☆128Updated last year
- ☆50Updated 3 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆89Updated last year
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆34Updated last year
- Physics-informed neural networks to solve forward and inverse problems of 1D laminar flames☆20Updated 10 months ago
- Lattice Boltzmann Method (LBM) codes in MATLAB for educational purposes, based on codes in the textbook by A. A. Mohamad.☆101Updated 8 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆83Updated 4 years ago
- These python codes can be used to simulate multiphase flows with Lattice Boltzmann Method (LBM).☆17Updated 5 years ago
- PINN in solving Navier–Stokes equation☆122Updated 5 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆185Updated last year
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆29Updated 2 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆19Updated 3 years ago
- openLBMPM is an open source lattice Boltzmann method (LBM) package for multicomponent and multiphase (MCMP) flow and transport in porous …☆104Updated 7 years ago
- DNS data of flows over periodic hills with parameterized geometries, for data-driven turbulence modeling☆49Updated 2 years ago
- Application of a Physics Informed Neural Network to a two phase flow in porous media problem☆27Updated 6 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆58Updated last year
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆71Updated 7 months ago
- A curated list of awesome Machine Learning projects in Fluid Dynamics☆108Updated 3 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆71Updated this week
- Implementation of PINNs for burger's and Navier-Stokes equation with PyTorch☆11Updated last year
- ☆35Updated 4 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆36Updated 3 years ago
- Couette flow and Poiseuille flow☆20Updated 2 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆155Updated 5 years ago
- CFD codes written based on examples in various books like Patnakar, Versteeg etc☆52Updated 5 years ago