piaofengweiyu / DMD-and-POD-code
the proper orthogonal decomposition(POD) and dynamic mode decomposition(DMD) methods
☆14Updated 5 years ago
Alternatives and similar repositories for DMD-and-POD-code:
Users that are interested in DMD-and-POD-code are comparing it to the libraries listed below
- 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
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆32Updated 9 years ago
- This repository contains code for data-driven LES of two-dimensional turbulence.☆11Updated 3 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆16Updated 2 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆15Updated 3 years ago
- Frame-independent vector-cloud neural network for nonlocal constitutive modelling on arbitrary grids.☆11Updated 3 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆58Updated last year
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆9Updated last year
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆29Updated last year
- This repository contains codes related to our work on physics-guided machine learning.☆15Updated 3 years ago
- Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow …☆17Updated 3 years ago
- POD-PINN code and manuscript☆47Updated 2 months ago
- Tutorial on proper orthogonal decomposition (POD) based reduced order modeling (ROM) for the heat equation with FEniCS.☆10Updated 2 years ago
- Companion code for Data-Driven Resolvent Analysis☆18Updated 3 years ago
- An implementation of the smoothed particle hydrodynamics based on the Philip Mocz's paper☆18Updated 2 months ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆23Updated 3 years ago
- CFD codes written based on examples in various books like Patnakar, Versteeg etc☆46Updated 4 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 3 years ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆30Updated 3 years ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆56Updated 4 years ago
- Python tools for non-intrusive reduced order modeling☆17Updated 6 months ago
- Multi-head attention network for airfoil flow field prediction☆11Updated 2 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆29Updated 2 years ago
- Prediction of the velocity flow fields at a given distance from wall, starting from wall-measured quantities in wall-bounded turbulence☆18Updated 2 years ago
- Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.☆26Updated 2 years ago
- OpenFOAM simulations of transonic shock buffets at a NACA-0012 airfoil☆24Updated last year
- Multi-fidelity reduced-order surrogate modeling☆17Updated last month
- Physics-informed neural networks for highly compressible flows 🧠🌊☆22Updated last year
- SIMPLE Algorithm for Driven Cavity problem on collocated grid using Python.☆20Updated 4 years ago