MagriLab / KolSolLinks
Pseudospectral Kolmogorov Flow Solver
☆40Updated last year
Alternatives and similar repositories for KolSol
Users that are interested in KolSol are comparing it to the libraries listed below
Sorting:
- ☆27Updated last year
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- ☆38Updated 2 years ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆80Updated 3 months ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆38Updated 2 years ago
- ☆42Updated 2 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆16Updated last year
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 2 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 7 months ago
- The public repository about our joint FINN research project☆38Updated 2 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated 4 months ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆35Updated 5 months ago
- Spectral Neural Operator☆78Updated last year
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆32Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- Python 2D Navier-Stokes solver☆21Updated 3 weeks ago
- ☆17Updated 8 months ago
- ☆45Updated 5 months ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆73Updated last month
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆20Updated 4 years ago
- Turbulent flow network source code☆70Updated 5 months ago
- Code for the paper "Generative AI for fast and accurate statistical computation of fluids"☆36Updated 3 weeks ago
- Code of ICML paper arxiv.org/abs/2302.08105☆14Updated 2 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 2 months ago
- Publication of Python code used to train ModalPINN☆11Updated 3 years ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆49Updated 2 months ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆20Updated last year
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago