pranshupant / DL-ROM
Deep Learning for Reduced Order Modelling
☆91Updated 3 years ago
Alternatives and similar repositories for DL-ROM:
Users that are interested in DL-ROM are comparing it to the libraries listed below
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆59Updated last year
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆33Updated 9 years ago
- Easy Reduced Basis method☆84Updated last week
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆22Updated last month
- POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for F…☆29Updated 4 years ago
- A Python package for spectral proper orthogonal decomposition (SPOD).☆106Updated 3 months ago
- Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow …☆17Updated 3 years ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆56Updated 4 years ago
- DAFI: Ensemble based data assimilation and field inversion, repository for internal development☆51Updated last year
- RBniCS - reduced order modelling in FEniCS (legacy)☆101Updated last week
- DNS data of flows over periodic hills with parameterized geometries, for data-driven turbulence modeling☆34Updated last year
- Immersed Boundary Projection Method☆107Updated 4 years ago
- Python tools for non-intrusive reduced order modeling☆18Updated 7 months ago
- flowTorch - a Python library for analysis and reduced-order modeling of fluid flows☆144Updated last week
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆62Updated 3 years ago
- MODULO (MODal mULtiscale pOd) is a software developed at the von Karman Institute to perform Multiscale Modal Analysis of numerical and e…☆86Updated 4 months ago
- POD-PINN code and manuscript☆47Updated 3 months ago
- ☆34Updated 2 years ago
- Deep Learning of Vortex Induced Vibrations☆89Updated 5 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆29Updated last year
- PINNs for 2D Incompressible Navier-Stokes Equation☆39Updated 9 months ago
- Multi-fidelity reduced-order surrogate modeling☆19Updated 2 months ago
- Parallelizing DRL for Active Flow control☆65Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆82Updated 4 years ago
- Sparse Physics-based and Interpretable Neural Networks☆47Updated 3 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆16Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆63Updated 2 years ago
- Physics-informed neural networks for two-phase flow problems☆51Updated 2 years ago
- An open-source Python platform of coupling deep reinforcement learning and OpenFOAM☆141Updated last month
- Reduced order modelling techniques for OpenFOAM☆179Updated this week