smowlavi / CoherentStructures
Algorithms for identifying coherent structures in sparse and noisy trajectory datasets
☆13Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for CoherentStructures
- Computational engine for variational Lagrangian coherent structures☆43Updated 8 years ago
- LCS Tool is a computational engine for analyzing fluid flows by extracting their most influential material surfaces, Lagrangian Coherent …☆25Updated 9 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 3 years ago
- Tensor Basis Neural Network for Scalar Mixing☆10Updated last year
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆17Updated 2 years ago
- Update PDEKoopman code to Tensorflow 2☆22Updated 3 years ago
- A library of tools for computing variants of Dynamic Mode Decomposition☆43Updated 7 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆28Updated 2 years ago
- Pseudospectral Kolmogorov Flow Solver☆34Updated last year
- ☆24Updated 6 years ago
- Simple OOP Python Code to run some Pseudo-Spectral 2D Simulations of Turbulence☆61Updated last year
- Dimension reduced surrogate construction for parametric PDE maps☆36Updated 3 months ago
- We present a user-friendly open-source Matlab package for stochastic data analysis that enables to perform a standard analysis of given t…☆31Updated 2 years ago
- A Python library for training neural ODEs.☆19Updated last week
- Nonlinear proper orthogonal decomposition for convection-dominated flows☆13Updated 3 years ago
- Standardized Non-Intrusive Reduced Order Modeling☆12Updated last year
- A library for dimensionality reduction on spatial-temporal PDE☆59Updated 7 months ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆18Updated 10 months ago
- POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for F…☆26Updated 4 years ago
- Repository for data and scripts of "Automating Turbulence Modeling by Multi-Agent Reinforcement Learning"☆28Updated 4 years ago
- ☆19Updated 4 months ago
- Direct Numerical Simulation of Fluid Flow with IBM Using Python☆27Updated last year
- ☆39Updated 4 years ago
- Large Eddy Simulation with dedalus☆34Updated 5 years ago
- ☆34Updated last year
- A Python package for spectral proper orthogonal decomposition (SPOD).☆101Updated this week
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆27Updated last year
- Multi-fidelity Generative Deep Learning Turbulent Flows☆37Updated 3 years ago
- ☆13Updated 2 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago