arturs-berzins / sniROMView external linksLinks
Standardized Non-Intrusive Reduced Order Modeling
☆13Nov 30, 2022Updated 3 years ago
Alternatives and similar repositories for sniROM
Users that are interested in sniROM are comparing it to the libraries listed below
Sorting:
- Python tools for non-intrusive reduced order modeling☆21Jan 31, 2026Updated 2 weeks ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆39Jul 4, 2015Updated 10 years ago
- Source code for "Probabilistic neural networks for fluid flow model-order reduction and data recovery"☆11Sep 19, 2020Updated 5 years ago
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆21Jan 6, 2021Updated 5 years ago
- CU-BEN serial version: geometric and material nonlinear static and transient dynamic structural analysis/ linear acoustic fluid structure…☆11Apr 19, 2020Updated 5 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆37Sep 7, 2023Updated 2 years ago
- Deep learning framework for model reduction of dynamical systems☆21Dec 31, 2020Updated 5 years ago
- 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
- Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow …☆23Apr 29, 2021Updated 4 years ago
- Publication of Python code used to train ModalPINN☆11May 5, 2022Updated 3 years ago
- The Gerris based Solid-Fluid system solver☆13Apr 20, 2021Updated 4 years ago
- Workshops on CFD at the University of Houston☆15Mar 18, 2019Updated 6 years ago
- This repository is a collection of user elements for FEAP and generated using AceGen☆12Aug 26, 2021Updated 4 years ago
- Uncertainty Quantification in the POD-NN framework☆24Sep 10, 2020Updated 5 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆29Sep 6, 2021Updated 4 years ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆27Sep 7, 2023Updated 2 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 4 years ago
- POD-PINN code and manuscript☆57Nov 10, 2024Updated last year
- Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357☆10Oct 23, 2020Updated 5 years ago
- Java Classes for use in creating macros for automating Star-CCM+☆15Sep 8, 2014Updated 11 years ago
- The example codes discussed in the course are available here.☆17May 4, 2021Updated 4 years ago
- Duke Machine Learning Winter School 2019☆27Jan 9, 2019Updated 7 years ago
- 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
- Compiling Custom solvers☆15Jul 6, 2019Updated 6 years ago
- LES-ML closures for Kraichnan turbulence☆19Feb 3, 2020Updated 6 years ago
- Model-Order Reduction Framework for Nek5000☆16Feb 4, 2026Updated last week
- nelson website☆12Dec 27, 2025Updated last month
- postProcessing tool for OpenFOAM, transform OpenFOAM fields to one single file by columns☆17May 11, 2021Updated 4 years ago
- ☆19Jan 27, 2018Updated 8 years ago
- RBniCS - reduced order modelling in FEniCS (legacy)☆116Mar 1, 2025Updated 11 months ago
- OpenFOAM examples for data-driven ML and ROM☆19Jul 25, 2023Updated 2 years ago
- Mathematical interdisciplinary toolbox for helping engineers, researchers and scientist☆20Mar 6, 2025Updated 11 months ago
- ☆19Oct 23, 2020Updated 5 years 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
- 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
- Easy Reduced Basis method☆94Jan 22, 2026Updated 3 weeks ago
- Deep Learning for Reduced Order Modelling☆107Nov 11, 2021Updated 4 years ago
- Physics-encoded recurrent convolutional neural network☆48Jan 3, 2022Updated 4 years ago
- This repo contains a PyTorch-based AE-ConvLSTM model for fluid flow prediction. It can forecast 5–10 time steps per forward pass and over…☆27Jun 2, 2025Updated 8 months ago