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:
- About Partial Differential Equations (PDEs) of 2D Heat Transfer is solved by Physic-Informed Neural Network (PINN), while time is discret…☆13Updated last year
- Research/development of physics-informed neural networks for dynamic systems☆25Updated 7 months ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆11Updated 2 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆34Updated 2 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- Solves Navier-Stokes equations for the 2D cavity flow using vorticity-stream function formulation☆8Updated 5 years ago
- Implementation of PINNs for burger's and Navier-Stokes equation with PyTorch☆10Updated last year
- Implementing physics informed neural networks (PINN) in PyTorch to solve turbulent flows using the Navier-Stokes equations☆23Updated last year
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆18Updated 2 years ago
- Physics-informed deep learning for structural dynamics under moving load☆16Updated 9 months ago
- ☆19Updated 8 months ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 4 years ago
- This repository contains the Python code for the paper "Transfer learning-based PINN model of 3D temperature field prediction for blue la…☆16Updated 11 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 …☆9Updated 4 years ago
- multi-fidelity neural network☆19Updated last year
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆14Updated 2 years ago
- Physics-informed neural networks for studying heat transfer in porous media☆15Updated 3 weeks ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆39Updated 2 weeks ago
- Burgers equation solved by PINN in PyTorch☆23Updated 3 years ago
- Multi-head attention network for airfoil flow field prediction☆13Updated 2 years ago
- ☆39Updated 3 years ago
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆18Updated last year
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆13Updated 7 months ago
- Yet another PINN implementation☆20Updated last year
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆31Updated 3 years ago
- ☆45Updated 2 years ago
- POD-PINN code and manuscript☆52Updated 7 months ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 5 months ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated 4 months ago