kazutotess / ML-ROM_Various_ShapesLinks
This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies of various shapes"
☆16Updated 4 years ago
Alternatives and similar repositories for ML-ROM_Various_Shapes
Users that are interested in ML-ROM_Various_Shapes are comparing it to the libraries listed below
Sorting:
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆23Updated 3 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
- This repository contains code for data-driven LES of two-dimensional turbulence.☆11Updated 4 years ago
- POD-PINN code and manuscript☆57Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Machine Learning enhanced CFD solvers: isothermal & thermal fluid flow☆16Updated last week
- Numerical tool for Construction of Reduced-order models for fluid flows.☆30Updated 4 years ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆24Updated 5 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆53Updated 3 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆29Updated 2 years ago
- Use of Turbulence Model (Spalart-Allmaras) with PINNs for mean flow reconstruction☆12Updated last year
- CNN model to predict the lift-drag ratio of airfoil☆18Updated 4 years ago
- Multi-head attention network for airfoil flow field prediction☆17Updated 3 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…☆34Updated 5 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆37Updated 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
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆28Updated 4 years ago
- ML-based Surrogate Models to enhance CFD solvers by solving the Pressure Poisson Equation☆10Updated this week
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆38Updated 10 years ago
- Frame-independent vector-cloud neural network for nonlocal constitutive modelling on arbitrary grids.☆11Updated 4 years ago
- ☆45Updated 3 years ago
- This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogat…☆15Updated 4 years ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆62Updated 5 years ago
- Leaning Proper Orthogonal Decomposition coefficients using Deep Neural Networks.☆10Updated 6 years ago
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆20Updated last year
- This repository hold some techniques associated with Artificial Intelligence to examine the aerodynamics of airfoils☆26Updated 11 months ago
- Laminar flow prediction using graph neural networks☆31Updated last year
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆26Updated 2 years ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Updated 3 years ago