Physics Informed Neural Network (PINN) for Burgers' equation.
☆77Aug 21, 2024Updated last year
Alternatives and similar repositories for pinn_burgers
Users that are interested in pinn_burgers are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Solving Burgers equation using Python☆13May 26, 2020Updated 5 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆162Jul 16, 2020Updated 5 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆212Jul 16, 2020Updated 5 years ago
- A Physics-Informed Neural Network for solving Burgers' equation.☆33Apr 14, 2024Updated 2 years ago
- A Jupyter Notebook implementation of Physics-informed neural network to solve solid mechanics problem.☆26May 11, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated last year
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆21Jun 19, 2024Updated last year
- Two solutions, written in MATLAB, for solving the viscous Burger's equation. They are both spectral methods: the first is a Fourier Galer…☆15Jul 14, 2017Updated 8 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Sep 12, 2021Updated 4 years ago
- Discovering Differential Equations with Physics-Informed Neural Networks and Symbolic Regression☆11Jul 28, 2023Updated 2 years ago
- ☆19Dec 22, 2025Updated 4 months ago
- 高精度有限差分-化学反应CFD☆11Dec 20, 2024Updated last year
- Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.☆27Dec 22, 2022Updated 3 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆293Oct 12, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- This repository provides a PyTorch implementation of the physics informed neural networks by M.Raissi et al.☆11Aug 9, 2021Updated 4 years ago
- ☆13Jan 23, 2024Updated 2 years ago
- Physics-informed neural network for solving fluid dynamics problems☆277Jan 28, 2021Updated 5 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆30Nov 26, 2023Updated 2 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆267Nov 30, 2023Updated 2 years ago
- Flow field reconstruction and prediction of the 2D cylinder flow using data-driven physics-informed neural network combined with long sho…☆43Nov 11, 2024Updated last year
- PINNs for 2D Incompressible Navier-Stokes Equation☆59May 16, 2024Updated last year
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆20Updated this week
- Physics-informed radial basis network☆38May 20, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆182Feb 25, 2021Updated 5 years ago
- ☆18Jan 16, 2026Updated 3 months ago
- A Multistate Low-dissipation Advection Upstream Splitting Method for Ideal Magnetohydrodynamics / A low-dissipation HLLD approximate Riem…☆13May 17, 2023Updated 2 years ago
- Comparison of various numerical methods for computational fluid dynamics☆76May 8, 2025Updated last year
- Publication of Python code used to train ModalPINN☆11May 5, 2022Updated 4 years ago
- Bayesian optimized physics-informed neural network for parameter estimation☆33Nov 20, 2024Updated last year
- source code of learning to discretize solving 1d scalar conservation laws via deep reinforcement learning☆15Feb 2, 2021Updated 5 years ago
- Physics-Informed Neural Networks designed to solve the Two-Dimensional Wave Equation in both TensorFlow and PyTorch. Code is designed to …☆18Nov 3, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆25Jul 3, 2023Updated 2 years ago
- Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning☆10Oct 19, 2025Updated 6 months ago
- ☆20May 25, 2024Updated last year
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆224Feb 21, 2023Updated 3 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 3 years ago
- Burgers equation solved by PINN in PyTorch☆25Oct 1, 2021Updated 4 years ago
- ☆15Dec 20, 2020Updated 5 years ago