Theodoret / PINN_2D_HeatTransfer_EulerLinks
About Partial Differential Equations (PDEs) of 2D Heat Transfer is solved by Physic-Informed Neural Network (PINN), while time is discretized by Euler's Method
☆13Updated last year
Alternatives and similar repositories for PINN_2D_HeatTransfer_Euler
Users that are interested in PINN_2D_HeatTransfer_Euler are comparing it to the libraries listed below
Sorting:
- This is a repository containing the different MATLAB codes and the .mat archives with the data samples that are referenced to within my t…☆14Updated 3 years ago
- Implementation of PINNs for burger's and Navier-Stokes equation with PyTorch☆10Updated 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 4 years ago
- Yet another PINN implementation☆20Updated last year
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆18Updated 2 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 3 years ago
- POD-PINN code and manuscript☆51Updated 7 months ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆31Updated 3 years ago
- Physics-informed neural networks for studying heat transfer in porous media☆15Updated 2 weeks ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆18Updated last year
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆55Updated 4 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆14Updated 2 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆31Updated 3 years ago
- PINN for heat transfer problems☆17Updated 4 years ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆39Updated last week
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆25Updated 3 years ago
- Implementing physics informed neural networks (PINN) in PyTorch to solve turbulent flows using the Navier-Stokes equations☆22Updated last year
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆73Updated last year
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆20Updated 2 years ago
- Research/development of physics-informed neural networks for dynamic systems☆23Updated 7 months ago
- Basic implementation of physics-informed neural network with pytorch.☆70Updated 2 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- Physics-Informed Neural Network☆85Updated 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 5 months ago
- ☆14Updated 2 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆34Updated 2 years ago
- PINN (Physics-Informed Neural Networks) for the 2D heat equation☆11Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆26Updated 2 years ago
- ☆21Updated 4 years ago