Rose-STL-Lab / Turbulent-Flow-Net
Turbulent flow network source code
☆61Updated last year
Alternatives and similar repositories for Turbulent-Flow-Net:
Users that are interested in Turbulent-Flow-Net are comparing it to the libraries listed below
- A library for dimensionality reduction on spatial-temporal PDE☆61Updated 9 months ago
- ☆35Updated last year
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆44Updated last week
- The public repository about our joint FINN research project☆36Updated 2 years ago
- Shallow Learning for Flow Reconstruction with Limited Sensors and Limited Data☆35Updated 6 years ago
- MIONet: Learning multiple-input operators via tensor product☆29Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆83Updated 3 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆91Updated 2 years ago
- Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆23Updated last month
- Pseudospectral Kolmogorov Flow Solver☆37Updated last year
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆80Updated last month
- Physics-encoded recurrent convolutional neural network☆44Updated 3 years ago
- ☆12Updated 5 years ago
- Here you find the Spectral Operator Learning Under construcTION☆19Updated 8 months ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆38Updated last year
- ☆37Updated 4 months ago
- DeepONet extrapolation☆25Updated last year
- Code for Mesh Transformer describes in the EAGLE dataset☆35Updated 9 months ago
- Applications of PINOs☆112Updated 2 years ago
- ☆21Updated 6 months ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆49Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆46Updated 3 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆38Updated last year
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- Towards Physics-informed Deep Learning for Turbulent Flow Prediction☆24Updated 3 years ago
- ☆19Updated 3 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆55Updated 5 months ago
- ☆34Updated 3 years ago
- ☆62Updated 5 years ago