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:
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆61Updated 5 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 years ago
- Burgers equation solved by PINN in PyTorch☆24Updated 4 years ago
- Original implementation of fast PINN optimization with RBA weights☆69Updated 4 months ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆84Updated 4 years ago
- ☆93Updated last year
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆91Updated last year
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆57Updated 3 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆58Updated last year
- Implementing a physics-informed DeepONet from scratch☆56Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆153Updated 4 years ago
- POD-PINN code and manuscript☆57Updated last year
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆159Updated 5 years ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆59Updated last week
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆28Updated last year
- ☆45Updated 3 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆131Updated 3 months ago
- Implementation of PINNs in TensorFlow 2☆81Updated last month
- Physics-guided neural network framework for elastic plates☆50Updated 3 years ago
- Hidden Fluid Mechanics in PyTorch☆21Updated 2 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆39Updated 3 years ago
- 2D wave equation simulated by PINN and FDM☆13Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Updated 5 years ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆75Updated last year
- PINN program for computational mechanics☆131Updated last year
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆94Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆76Updated 2 years ago
- ☆21Updated last year
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆172Updated 4 months ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆92Updated 5 years ago