okada39 / pinn_cavity
Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
☆141Updated 4 years ago
Alternatives and similar repositories for pinn_cavity:
Users that are interested in pinn_cavity are comparing it to the libraries listed below
- PINN in solving Navier–Stokes equation☆97Updated 4 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆140Updated last year
- Implementation of PINNs in TensorFlow 2☆78Updated last year
- Physics-informed neural network for solving fluid dynamics problems☆225Updated 4 years ago
- physics-informed neural network for elastodynamics problem☆135Updated 3 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆172Updated 2 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆96Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆223Updated 3 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆89Updated 3 years ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆135Updated 3 months ago
- ☆107Updated 3 months ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆48Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆147Updated 11 months ago
- A place to share problems solved with SciANN☆275Updated last year
- Non-adaptive and residual-based adaptive sampling for PINNs☆74Updated 2 years ago
- PINN program for computational mechanics☆106Updated last year
- ☆135Updated 2 years ago
- Basic implementation of physics-informed neural network with pytorch.☆67Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆70Updated 2 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆191Updated 2 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆164Updated 4 years ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆71Updated 8 months ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆45Updated 11 months ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆66Updated 3 years ago
- Physics-informed neural networks for two-phase flow problems☆55Updated 2 years ago
- Physics-Informed Neural Network☆82Updated 11 months ago
- ☆204Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆55Updated 4 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆23Updated 2 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆259Updated last year