erdc / podrbf_niromLinks
Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow water equations
☆18Updated 4 years ago
Alternatives and similar repositories for podrbf_nirom
Users that are interested in podrbf_nirom are comparing it to the libraries listed below
Sorting:
- Python tools for non-intrusive reduced order modeling☆19Updated 2 months ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆65Updated last year
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆30Updated last year
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆35Updated 9 years ago
- POD-PINN code and manuscript☆51Updated 6 months 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…☆31Updated 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…☆24Updated last year
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 4 months ago
- Standardized Non-Intrusive Reduced Order Modeling☆12Updated 2 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆15Updated 4 years ago
- ☆38Updated 3 years ago
- Physics-guided neural network framework for elastic plates☆39Updated 3 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆24Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆26Updated 2 years ago
- Deep Learning for Reduced Order Modelling☆100Updated 3 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- Numerical tool for Construction of Reduced-order models for fluid flows.☆30Updated 4 years ago
- Multi-fidelity reduced-order surrogate modeling☆23Updated last month
- ☆70Updated 6 months ago
- ☆17Updated 7 months ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆88Updated last year
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆72Updated last year
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆18Updated 2 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆47Updated last year
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆24Updated 3 years ago
- Multifidelity DeepONet☆33Updated last year
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆32Updated last year
- Pythonic spectral proper orthogonal decomposition☆40Updated 2 years ago
- DNS data of flows over periodic hills with parameterized geometries, for data-driven turbulence modeling☆39Updated 2 years ago
- DAFI: Ensemble based data assimilation and field inversion, repository for internal development☆58Updated last year