KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flowsView external linksLinks
☆11Apr 5, 2023Updated 2 years ago
Alternatives and similar repositories for Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows
Users that are interested in Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows are comparing it to the libraries listed below
Sorting:
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆24Jun 7, 2020Updated 5 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆20Mar 23, 2023Updated 2 years ago
- Dataset of Airfoil Aerodynamic and Geometric Coefficients☆14Feb 5, 2026Updated last week
- ☆15Nov 20, 2023Updated 2 years ago
- Convolution Neural Network based solution for 2D steady state Navier Stokes equation for submerged badies☆12May 3, 2021Updated 4 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 4 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 2 years ago
- CFD-solver-agnostic deep reinforcement learning framework for computational fluid dynamics on HPC platforms☆19Aug 1, 2025Updated 6 months ago
- Post-processing package for CFD simulations I run for my PhD☆13Oct 19, 2021Updated 4 years ago
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆13Apr 9, 2024Updated last year
- Modeling time series using TensorFlow, scikit-learn, SINDy, SARIMA☆16May 25, 2022Updated 3 years ago
- ☆16Aug 6, 2024Updated last year
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆16Sep 7, 2023Updated 2 years ago
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 2 years ago
- A ML framework for the SOD2D CFD solver using SmartSim☆18Nov 18, 2025Updated 3 months ago
- ☆12Aug 22, 2025Updated 5 months ago
- Python 2D Navier-Stokes solver☆26Aug 4, 2025Updated 6 months ago
- Machine Learning enhanced CFD solvers: isothermal & thermal fluid flow☆18Updated this week
- The AirfRANS dataset makes available numerical resolutions of the incompressible Reynolds-Averaged Navier–Stokes (RANS) equations over th…☆18Jan 9, 2025Updated last year
- ☆40Jul 20, 2023Updated 2 years ago
- High performance parallel Low Order Modelling library by BSC - UPM☆26Updated this week
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Mar 25, 2023Updated 2 years ago
- ☆15Oct 25, 2021Updated 4 years ago
- Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.☆21Jul 5, 2023Updated 2 years ago
- my personal guidelines writing papers and managing the publication cycle - things that come up again and again☆21Oct 15, 2025Updated 4 months ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆23May 9, 2021Updated 4 years ago
- WaterLily tutorial files