aaronbuhendwa / twophasePINNLinks
Physics-informed neural networks for two-phase flow problems
☆73Updated 3 months ago
Alternatives and similar repositories for twophasePINN
Users that are interested in twophasePINN are comparing it to the libraries listed below
Sorting:
- Physics Informed Neural Networks: a starting step for CFD specialists☆39Updated 3 years ago
- ☆92Updated last year
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆90Updated last year
- Physics-informed neural networks for studying heat transfer in porous media☆19Updated 7 months ago
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆34Updated 2 years ago
- ☆44Updated 3 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆38Updated 3 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆33Updated last year
- PINN program for computational mechanics☆130Updated last year
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆29Updated 2 years ago
- PINN in solving Navier–Stokes equation☆124Updated 5 years ago
- ☆51Updated 3 years ago
- ☆45Updated 3 years ago
- POD-PINN code and manuscript☆57Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆76Updated 2 years ago
- Physics-guided neural network framework for elastic plates☆49Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆60Updated 5 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆29Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆83Updated 4 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
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆19Updated 3 years ago
- Application of a Physics Informed Neural Network to a two phase flow in porous media problem☆27Updated 6 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆185Updated last year
- Physics-informed neural networks to solve forward and inverse problems of 1D laminar flames☆21Updated 10 months ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆202Updated 2 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆59Updated last year
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆157Updated 5 years ago
- Use of Turbulence Model (Spalart-Allmaras) with PINNs for mean flow reconstruction☆12Updated last year
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆71Updated 2 weeks ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆92Updated 4 years ago