nguyenkhoa0209 / pinns_tutorial
Tutorials for Physics-Informed Neural Networks
☆47Updated 9 months ago
Alternatives and similar repositories for pinns_tutorial:
Users that are interested in pinns_tutorial are comparing it to the libraries listed below
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆67Updated 2 years ago
- Basic implementation of physics-informed neural networks for solving differential equations☆83Updated 2 months ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆47Updated 2 years ago
- Original implementation of fast PINN optimization with RBA weights☆49Updated 5 months ago
- Implementing a physics-informed DeepONet from scratch☆36Updated last year
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆87Updated last month
- Physics Informed Neural Network (PINN) for Burgers' equation.☆69Updated 7 months ago
- PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.☆106Updated 10 months ago
- ☆122Updated 2 years ago
- ☆63Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆17Updated last year
- ☆157Updated last year
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆68Updated last year
- Implementation of PINNs in TensorFlow 2☆76Updated last year
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆212Updated 3 years ago
- ☆118Updated 5 months ago
- ☆91Updated 3 years ago
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆46Updated 2 years ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆36Updated this week
- ☆191Updated 7 months ago
- An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification☆32Updated 3 weeks ago
- Multifidelity DeepONet☆30Updated last year
- ☆28Updated last year
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆51Updated 4 years ago
- Basic implementation of physics-informed neural network with pytorch.☆63Updated 2 years ago
- ☆169Updated last year
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆133Updated 2 months ago
- ☆53Updated 2 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆135Updated 4 years ago
- PDE Preserved Neural Network☆46Updated 8 months ago