luismoraortiz / BT_PINN_Approach_to_Solve_PDELinks
This is a repository containing the different MATLAB codes and the .mat archives with the data samples that are referenced to within my thesis.
☆15Updated 3 years ago
Alternatives and similar repositories for BT_PINN_Approach_to_Solve_PDE
Users that are interested in BT_PINN_Approach_to_Solve_PDE are comparing it to the libraries listed below
Sorting:
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆11Updated 2 years ago
- About Partial Differential Equations (PDEs) of 2D Heat Transfer is solved by Physic-Informed Neural Network (PINN), while time is discret…☆13Updated last year
- Yet another PINN implementation☆20Updated last year
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆18Updated 2 years ago
- Implementing physics informed neural networks (PINN) in PyTorch to solve turbulent flows using the Navier-Stokes equations☆23Updated last year
- Implementation of PINNs for burger's and Navier-Stokes equation with PyTorch☆11Updated last year
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 6 months ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆18Updated 2 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- ☆21Updated 4 years ago
- POD-PINN code and manuscript☆52Updated 8 months ago
- Solves Navier-Stokes equations for the 2D cavity flow using vorticity-stream function formulation☆8Updated 5 years ago
- ☆73Updated 8 months ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆27Updated 3 years ago
- ☆40Updated 3 years ago
- POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for F…☆32Updated 4 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆37Updated 2 years ago
- I am doing a surrogate optimization of a transonic airfoil. I am using an artificial neural network as my surrogate model to approximate …☆9Updated 4 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆33Updated 3 years ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 4 years ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 4 years ago
- Physics-informed neural networks for two-phase flow problems☆64Updated 3 months ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆27Updated 2 years ago
- Hidden Fluid Mechanics in PyTorch☆18Updated last year
- A convolutional neural network for drag prediction in laminar flows☆15Updated 4 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆32Updated 3 years ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆41Updated this week
- ML-based Surrogate Models to enhance CFD solvers by solving the Pressure Poisson Equation☆8Updated 5 months ago
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year