cmudrc / FlowDataGenerationLinks
☆14Updated 9 months ago
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 last year
- Discontinuity Computing Using Physics-Informed Neural Network☆25Updated last year
- 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
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Updated 2 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 7 months ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 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
- Multi-fidelity reduced-order surrogate modeling☆24Updated 2 months ago
- ☆29Updated 7 months 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
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- Code for the paper "Generative AI for fast and accurate statistical computation of fluids"☆37Updated last month
- ☆27Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 2 months ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- ☆54Updated 2 years ago
- POD-PINN code and manuscript☆53Updated 9 months ago
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆18Updated 2 years ago
- Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.☆20Updated 2 years ago
- POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for F…☆32Updated 4 years ago
- ☆12Updated last year
- About code release of "Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains"☆36Updated 2 weeks ago
- Physics-Informed Super-Resolution☆10Updated 2 years ago
- Yet another PINN implementation☆20Updated last year
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆13Updated last year
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago