taichimoja / ML-ROM_turbulent_flowLinks
This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogate for minimal turbulent channel flow"
☆15Updated 4 years ago
Alternatives and similar repositories for ML-ROM_turbulent_flow
Users that are interested in ML-ROM_turbulent_flow are comparing it to the libraries listed below
Sorting:
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆26Updated 4 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆16Updated 4 years ago
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 4 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- ☆21Updated 4 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- ☆12Updated last year
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆18Updated 2 years ago
- POD-PINN code and manuscript☆53Updated 10 months ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆64Updated 3 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆33Updated 3 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆19Updated 2 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆32Updated 2 years ago
- Bayesian optimization based on Gaussian processes☆12Updated 2 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆15Updated 3 years ago
- DNS data of flows over periodic hills with parameterized geometries, for data-driven turbulence modeling☆47Updated 2 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…☆32Updated 4 years ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- Prediction of turbulent heat transfer using convolutional neural networks (CNNs)☆22Updated 2 years ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆20Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Updated 4 years ago
- Multi-fidelity reduced-order surrogate modeling☆25Updated 3 months ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 5 years ago
- ☆41Updated 3 years ago
- A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269☆43Updated 7 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- Reproduce the first two numerical experiments(Pytorch)☆26Updated 5 years ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆62Updated 4 years ago