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.
☆14Updated 2 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:
- About Partial Differential Equations (PDEs) of 2D Heat Transfer is solved by Physic-Informed Neural Network (PINN), while time is discret…☆13Updated last year
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 3 years ago
- Implementation of PINNs for burger's and Navier-Stokes equation with PyTorch☆10Updated last year
- POD-PINN code and manuscript☆51Updated 6 months ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆18Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆31Updated 3 years ago
- Burgers equation solved by PINN in PyTorch☆21Updated 3 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆72Updated last year
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 2 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 4 months ago
- Yet another PINN implementation☆20Updated 11 months ago
- ☆17Updated 7 months ago
- Physics-guided neural network framework for elastic plates☆39Updated 3 years ago
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆17Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆26Updated 2 years ago
- ☆38Updated 3 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆24Updated 2 years ago
- ☆39Updated 2 years ago
- ☆19Updated last year
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- I am doing a surrogate optimization of a transonic airfoil. I am using an artificial neural network as my surrogate model to approximate …☆8Updated 4 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆31Updated 3 years ago
- multi-fidelity neural network☆18Updated last year
- PINN for heat transfer problems☆15Updated 3 years ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆38Updated this week
- Physics-informed neural networks for studying heat transfer in porous media☆14Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆18Updated last year
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆22Updated last year
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆66Updated 3 years ago