scaomath / torch-cfd
Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
☆20Updated last month
Related projects ⓘ
Alternatives and complementary repositories for torch-cfd
- ☆19Updated 4 months ago
- Code for Mesh Transformer describes in the EAGLE dataset☆31Updated 7 months ago
- ☆37Updated last year
- Here you find the Spectral Operator Learning Under construcTION☆19Updated 6 months ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆69Updated 3 weeks ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆13Updated 5 months ago
- ☆57Updated 2 months ago
- Spectral Neural Operator☆71Updated 10 months ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆40Updated last year
- Domain Agnostic Fourier Neural Operators (DAFNO)☆10Updated 2 months ago
- ☆17Updated last month
- Official implementation of Scalable Transformer for PDE surrogate modelling☆26Updated 7 months ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- Code of ICML paper arxiv.org/abs/2302.08105☆14Updated last year
- MIONet: Learning multiple-input operators via tensor product☆26Updated last year
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆14Updated last week
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆12Updated 5 months ago
- ☆38Updated 3 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆19Updated last year
- ☆10Updated 2 months ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆32Updated 9 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆51Updated 3 months ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆22Updated this week
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆33Updated 5 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆23Updated 11 months ago
- Differential equation neural operator☆17Updated last year
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆18Updated 10 months ago
- A library for dimensionality reduction on spatial-temporal PDE☆59Updated 7 months ago
- ☆58Updated last year
- This is the implementation of the RecFNO.☆16Updated last year