Towards Physics-informed Deep Learning for Turbulent Flow Prediction
☆28Oct 18, 2021Updated 4 years ago
Alternatives and similar repositories for Turbulent-Flow-Nets
Users that are interested in Turbulent-Flow-Nets are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆13Oct 14, 2024Updated last year
- Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels -- param…☆25Aug 2, 2021Updated 4 years ago
- Wind Farm Simulator☆17Nov 18, 2020Updated 5 years ago
- Laminar flow prediction using graph neural networks☆32Jan 17, 2025Updated last year
- A convolutional neural network for drag prediction in laminar flows☆15Jan 14, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 3 years ago
- Turbulent flow network source code☆72Mar 14, 2025Updated last year
- This repository contains the source code for the research presented in the paper "Exploring hidden flow structures from sparse data throu…☆12Dec 4, 2023Updated 2 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆13Dec 15, 2021Updated 4 years ago
- Solve mass spring damper system with physics-informed neural networks in MATLAB☆16Apr 22, 2026Updated 3 months ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 5 years ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆14Nov 3, 2021Updated 4 years ago
- Deep Learning of Turbulent Scalar Mixing☆19Oct 6, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆34Oct 30, 2023Updated 2 years ago
- An effective algorithm for training a quadratic network☆13Jun 3, 2022Updated 4 years ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆31Jan 21, 2021Updated 5 years ago
- ☆14Jan 22, 2022Updated 4 years ago
- ☆13May 27, 2025Updated last year
- A Python urban building energy modelling platform for complex urban neighbourhoods☆13Apr 23, 2026Updated 3 months ago
- A curated list of awesome Machine Learning projects in Fluid Dynamics☆114Aug 4, 2022Updated 3 years ago
- ☆23Oct 23, 2020Updated 5 years ago
- Pseudospectral Kolmogorov Flow Solver☆43Oct 24, 2023Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆36Feb 10, 2021Updated 5 years ago
- Code for An Adaptive Empirical Bayesian Method for Sparse Deep Learning (NeurIPS'19)☆20May 1, 2021Updated 5 years ago
- Deep Learning of Vortex Induced Vibrations☆102Feb 21, 2020Updated 6 years ago
- EnergyPlus IDF editing tool: https://sdu-cfei.github.io/epquery☆12Mar 19, 2019Updated 7 years ago
- ☆13Mar 11, 2025Updated last year
- ☆15Dec 18, 2023Updated 2 years ago
- A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning☆348Nov 15, 2022Updated 3 years ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆40Jul 4, 2015Updated 11 years ago
- PDE solvers expressed as neural networks☆26Jun 28, 2024Updated 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.
- ☆19Feb 3, 2022Updated 4 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Feb 21, 2025Updated last year
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆35Dec 4, 2023Updated 2 years ago
- ☆35Aug 6, 2023Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 6 years ago
- A Python module for preprocessing and evaluating aerodynamic airfoil data---primarily for wind turbine applications.☆49Mar 9, 2024Updated 2 years ago
- The system is formed by self-propelled satellites influenced by the Sun whose objective is not to leave the domain maintaining the maximu…☆17Nov 14, 2017Updated 8 years ago