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.
☆16Updated 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…☆15Updated last year
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- Yet another PINN implementation☆20Updated last year
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆20Updated 3 years ago
- Implementing physics informed neural networks (PINN) in PyTorch to solve turbulent flows using the Navier-Stokes equations☆25Updated last year
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Updated 3 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆38Updated 3 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆33Updated 3 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆33Updated last year
- Implementation of PINNs for burger's and Navier-Stokes equation with PyTorch☆11Updated last year
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆85Updated last year
- POD-PINN code and manuscript☆54Updated last year
- ☆21Updated 5 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28Updated 2 years ago
- ☆42Updated 3 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆34Updated 3 years ago
- Burgers equation solved by PINN in PyTorch☆24Updated 4 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 3 years ago
- This repository contains the Python code for the paper "Transfer learning-based PINN model of 3D temperature field prediction for blue la…☆21Updated last year
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆22Updated 2 years ago
- Use of Turbulence Model (Spalart-Allmaras) with PINNs for mean flow reconstruction☆11Updated last year
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆22Updated 2 years ago
- Soving heat transfer problems using PINN with tf2.0☆20Updated 4 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆26Updated 9 months ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 5 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆55Updated last year
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆79Updated 4 years ago
- Physics-informed neural networks for two-phase flow problems☆69Updated last month
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆29Updated 2 years ago