arturs-berzins / sniROMLinks
Standardized Non-Intrusive Reduced Order Modeling
☆12Updated 2 years ago
Alternatives and similar repositories for sniROM
Users that are interested in sniROM are comparing it to the libraries listed below
Sorting:
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆31Updated last year
- Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow …☆19Updated 4 years ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆37Updated 9 years ago
- Python tools for non-intrusive reduced order modeling☆19Updated 2 months ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆25Updated last year
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆67Updated last year
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- Leaning Proper Orthogonal Decomposition coefficients using Deep Neural Networks.☆10Updated 5 years 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…☆31Updated 4 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆24Updated 3 years ago
- One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-or…☆28Updated last year
- POD-PINN code and manuscript☆51Updated 7 months ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆32Updated 2 years ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆60Updated 4 years ago
- Easy Reduced Basis method☆85Updated 3 months ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆30Updated 4 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆19Updated 2 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.☆26Updated 2 years ago
- ☆19Updated 7 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆15Updated 4 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- Immersed boundary - Fluid Structure Interaction solver with heat transfer☆11Updated 9 months ago
- This repository contains the codes for DNS of channel flow.☆9Updated 3 years ago
- Monolithic Fluid-Structure Interaction (FSI) solver☆69Updated 3 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆35Updated this week
- OpenFOAM implementation of turbulence models driven by machine learning predictions.☆36Updated last year
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆20Updated 5 years ago
- Multi-fidelity reduced-order surrogate modeling☆23Updated last week