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.
☆56Updated 8 months ago
Alternatives and similar repositories for AirfRANS
Users that are interested in AirfRANS are comparing it to the libraries listed below
Sorting:
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- MIONet: Learning multiple-input operators via tensor product☆37Updated 2 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆25Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated this week
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆87Updated 4 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆56Updated 3 years ago
- The MegaFlow2D dataset package☆23Updated last year
- ☆27Updated last year
- POD-PINN code and manuscript☆53Updated 10 months ago
- ☆54Updated 2 years ago
- ☆29Updated 8 months ago
- Multi-fidelity reduced-order surrogate modeling☆25Updated 2 months ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- ☆112Updated 7 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆73Updated 2 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆51Updated last year
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆32Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- PDE Preserved Neural Network☆55Updated 4 months ago
- Modified Meshgraphnets with more features☆54Updated 7 months ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆20Updated last year
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆89Updated 2 years ago
- Turbulent flow network source code☆70Updated 6 months ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- ☆61Updated 5 months ago
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆16Updated last year
- The AirfRANS dataset makes available numerical resolutions of the incompressible Reynolds-Averaged Navier–Stokes (RANS) equations over th…☆18Updated 8 months ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆33Updated last year
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆55Updated 2 months ago