A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269
☆45May 2, 2018Updated 8 years ago
Alternatives and similar repositories for LSTM_ROM_Arxiv
Users that are interested in LSTM_ROM_Arxiv are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆21Jan 6, 2021Updated 5 years ago
- Deep Learning for Reduced Order Modelling☆111Nov 11, 2021Updated 4 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆39Sep 7, 2023Updated 2 years ago
- Deep learning framework for model reduction of dynamical systems☆21Dec 31, 2020Updated 5 years ago
- ☆14Apr 24, 2026Updated last month
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆17Sep 7, 2023Updated 2 years ago
- This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogat…☆15Feb 27, 2021Updated 5 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆30Sep 6, 2021Updated 4 years ago
- Multi-fidelity reduced-order surrogate modeling☆34Jun 17, 2025Updated 11 months ago
- Python tools for non-intrusive reduced order modeling☆21Jan 31, 2026Updated 3 months ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆31Jan 21, 2021Updated 5 years ago
- ☆23May 10, 2019Updated 7 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆37May 15, 2026Updated last week
- ☆14Mar 8, 2022Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow …☆23Apr 29, 2021Updated 5 years ago
- Deep Learning of Turbulent Scalar Mixing☆19Oct 6, 2019Updated 6 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆30Jan 20, 2025Updated last year
- Public Version of C3PO Toolbox☆10Apr 10, 2018Updated 8 years ago
- Reduced Order Model Predictive Control☆28Dec 21, 2021Updated 4 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆33Jul 1, 2022Updated 3 years ago
- Exploit Auto-encoder for exploring and predict flow dynamic☆10Oct 4, 2019Updated 6 years ago
- Turbulent flow network source code☆72Mar 14, 2025Updated last year
- Nonlinear proper orthogonal decomposition for convection-dominated flows☆15Nov 8, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Standardized Non-Intrusive Reduced Order Modeling☆13Nov 30, 2022Updated 3 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆35Feb 10, 2021Updated 5 years ago
- SOFA Plugin to Reduce Model☆37Jan 7, 2026Updated 4 months ago
- FluidNet re-written with ATen tensor lib☆52Jun 17, 2019Updated 6 years ago
- Direct Numerical Simulation of Turbulence using the Implicitly Dealiased Pseudospectral Method☆12Jun 20, 2025Updated 11 months ago
- Code for data-assisted reduced-order modeling of extreme events in complex dynamical systems, available on arXiv: https://arxiv.org/abs/1…☆22Aug 22, 2018Updated 7 years ago
- ☆19Jan 27, 2018Updated 8 years ago
- Easy Reduced Basis method