Extrality / AirfRANSLinks
In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the NeurIPS 2022 Datasets and Benchmarks Track conference.
☆57Updated 11 months ago
Alternatives and similar repositories for AirfRANS
Users that are interested in AirfRANS are comparing it to the libraries listed below
Sorting:
- MIONet: Learning multiple-input operators via tensor product☆40Updated 3 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated last month
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆37Updated 2 years ago
- The MegaFlow2D dataset package☆23Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Updated 4 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆57Updated 3 years ago
- PDE Preserved Neural Network☆59Updated 7 months ago
- POD-PINN code and manuscript☆57Updated last year
- ☆61Updated 9 months ago
- ☆54Updated 3 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆28Updated 2 years ago
- Turbulent flow network source code☆71Updated 9 months ago
- ☆117Updated 10 months ago
- ☆33Updated 11 months ago
- Modified Meshgraphnets with more features☆57Updated 10 months ago
- Multi-fidelity reduced-order surrogate modeling☆28Updated 6 months ago
- ☆29Updated last year
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆69Updated last month
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆35Updated last year
- Discontinuity Computing Using Physics-Informed Neural Network☆26Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 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
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆75Updated 2 years ago
- KTH-FlowAI / beta-Variational-autoencoders-and-transformers-for-reduced-order-modelling-of-fluid-flows☆40Updated 8 months ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆23Updated last year
- PINNs for 2D Incompressible Navier-Stokes Equation☆56Updated last year
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆43Updated 2 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆66Updated 3 years ago