JoshuaXu7 / PINN_porousLinks
Physics-informed neural networks for studying heat transfer in porous media
☆18Updated 4 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☆69Updated last month
- ☆41Updated 3 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆38Updated 3 years ago
- ☆81Updated 11 months ago
- PINN program for computational mechanics☆125Updated last year
- PINN in solving Navier–Stokes equation☆113Updated 5 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆19Updated 3 years ago
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆31Updated last year
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆86Updated last year
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆33Updated last year
- ☆47Updated 3 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆74Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆58Updated 4 years ago
- Application of a Physics Informed Neural Network to a two phase flow in porous media problem☆27Updated 6 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆79Updated 4 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆175Updated last year
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆57Updated last year
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆151Updated 5 years ago
- Physics-guided neural network framework for elastic plates☆47Updated 3 years ago
- physics-informed neural network for elastodynamics problem☆151Updated 3 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆196Updated 2 years ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆46Updated last week
- Deep Learning of Vortex Induced Vibrations☆99Updated 5 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆88Updated 4 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆33Updated 3 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆34Updated 3 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆69Updated 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…☆69Updated 5 months ago