luismoraortiz / BT_PINN_Approach_to_Solve_PDE
This is a repository containing the different MATLAB codes and the .mat archives with the data samples that are referenced to within my thesis.
☆11Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for BT_PINN_Approach_to_Solve_PDE
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆13Updated 2 years ago
- Yet another PINN implementation☆18Updated 5 months ago
- ☆7Updated 4 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆14Updated last year
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆24Updated last year
- ☆32Updated 2 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…☆26Updated 4 years ago
- POD-PINN code and manuscript☆46Updated 2 weeks ago
- Implementations and continuation of some standard computational fluid dynamics problems using the finite volume method☆9Updated 3 weeks ago
- Physics-guided neural network framework for elastic plates☆32Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆24Updated 2 years ago
- Soving heat transfer problems using PINN with tf2.0☆18Updated 3 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆9Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆16Updated 11 months ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆22Updated 3 years ago
- Implementing physics informed neural networks (PINN) in PyTorch to solve turbulent flows using the Navier-Stokes equations☆18Updated 6 months ago
- I am doing a surrogate optimization of a transonic airfoil. I am using an artificial neural network as my surrogate model to approximate …☆8Updated 3 years ago
- Hidden Fluid Mechanics in PyTorch☆10Updated last year
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆15Updated 2 years ago
- This repository contains the MATLAB implementation of popular numerical methods in Computation Fluid dynamics. Starting from simple meth…☆10Updated 2 years ago
- Tensoflow 2 implementation of physics informed deep learning.☆25Updated 4 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆55Updated last year
- Physics Informed Neural Networks: a starting step for CFD specialists☆27Updated 2 years ago
- XPINN code written in TensorFlow 2☆27Updated last year
- A collection of finite difference solutions in MATLAB building up to the Navier Stokes Equations.☆18Updated 5 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆21Updated 7 months ago
- Hybrid finite-volume solver based on the lattice-Boltzmann & discrete-velocity methods for the Couette problem☆10Updated 5 years ago
- Basic implementation of physics-informed neural network with pytorch.☆44Updated 2 years ago
- This repository consists of MATLAB codes for CFD computations and simulations.☆14Updated 3 years ago
- Companion code for Data-Driven Resolvent Analysis☆17Updated 3 years ago