Rose-STL-Lab / Turbulent-Flow-NetLinks
Turbulent flow network source code
☆70Updated 8 months ago
Alternatives and similar repositories for Turbulent-Flow-Net
Users that are interested in Turbulent-Flow-Net are comparing it to the libraries listed below
Sorting:
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆88Updated 4 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
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 2 months ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆28Updated 2 years ago
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- ☆39Updated 2 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- MIONet: Learning multiple-input operators via tensor product☆38Updated 3 years ago
- Code for the paper "Generative AI for fast and accurate statistical computation of fluids"☆44Updated 3 months ago
- Physics-encoded recurrent convolutional neural network☆46Updated 3 years ago
- The public repository about our joint FINN research project☆38Updated 3 years 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
- A library for dimensionality reduction on spatial-temporal PDE☆70Updated last year
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 8 months ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆39Updated 3 years ago
- Towards Physics-informed Deep Learning for Turbulent Flow Prediction☆27Updated 4 years ago
- ☆128Updated 2 years ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆99Updated 11 months ago
- ☆114Updated 9 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆63Updated 4 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆75Updated 6 months ago
- ☆60Updated 7 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- ☆13Updated 5 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆19Updated 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
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆52Updated 2 years ago
- ☆54Updated 3 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆55Updated last year
- ☆28Updated last year