cmudrc / FlowDataGenerationLinks
☆14Updated last year
Alternatives and similar repositories for FlowDataGeneration
Users that are interested in FlowDataGeneration are comparing it to the libraries listed below
Sorting:
- The MegaFlow2D dataset package☆23Updated 2 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 4 years ago
- Code for the paper "Generative AI for fast and accurate statistical computation of fluids"☆46Updated 4 months ago
- Discontinuity Computing Using Physics-Informed Neural Network☆26Updated last year
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Updated 3 years ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆56Updated 10 months ago
- ☆13Updated 2 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆16Updated 4 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆22Updated 3 years ago
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated 2 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- Physics-Informed Super-Resolution☆10Updated 2 years ago
- ☆31Updated 10 months ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- POD-PINN code and manuscript☆56Updated last year
- Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.☆24Updated 10 months ago
- ☆54Updated 3 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆11Updated 3 months ago
- MIONet: Learning multiple-input operators via tensor product☆39Updated 3 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 3 weeks ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 7 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Updated 2 years ago
- ☆25Updated last year
- ☆12Updated 3 weeks ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆28Updated 2 years ago
- Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.☆20Updated 2 years ago
- ☆28Updated last year