pmaczuga / pinn-notebooksLinks
☆10Updated 2 years ago
Alternatives and similar repositories for pinn-notebooks
Users that are interested in pinn-notebooks are comparing it to the libraries listed below
Sorting:
- Original implementation of fast PINN optimization with RBA weights☆68Updated 3 months ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆59Updated 5 years ago
- Implementation of PINNs in TensorFlow 2☆81Updated 2 weeks ago
- physics-informed neural network for elastodynamics problem☆152Updated 3 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆57Updated 3 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆82Updated 4 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆75Updated 2 years ago
- This is the code of my master thesis.☆169Updated 8 months ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆153Updated 5 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆199Updated 2 years ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆72Updated last year
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆168Updated 3 months ago
- 2D wave equation simulated by PINN and FDM☆12Updated 3 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆89Updated last year
- PINN in solving Navier–Stokes equation☆119Updated 5 years ago
- Implementing a physics-informed DeepONet from scratch☆53Updated 2 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆184Updated last year
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆263Updated 4 years ago
- Basic implementation of physics-informed neural networks for solving differential equations☆96Updated last year
- Physics Informed Neural Network (PINN) for the wave equation.☆200Updated 5 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆124Updated 2 months ago
- Physics-guided neural network framework for elastic plates☆48Updated 3 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆56Updated last year
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆56Updated 2 weeks ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆94Updated 3 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28Updated 2 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆106Updated 3 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆27Updated 11 months ago
- PINN program for computational mechanics☆128Updated last year