arturs-berzins / sniROM
Standardized Non-Intrusive Reduced Order Modeling
☆12Updated 2 years ago
Alternatives and similar repositories for sniROM:
Users that are interested in sniROM are comparing it to the libraries listed below
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆30Updated last year
- Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow …☆18Updated 4 years ago
- Python tools for non-intrusive reduced order modeling☆19Updated last month
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆35Updated 9 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆65Updated last year
- 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
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆30Updated 2 years ago
- POD-PINN code and manuscript☆51Updated 5 months ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆25Updated 3 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
- Easy Reduced Basis method☆84Updated 2 months ago
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated last year
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- Multifidelity DeepONet☆31Updated last year
- ☆21Updated 4 years ago
- Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.☆22Updated 3 months ago
- ☆19Updated 7 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆26Updated last year
- Immersed boundary - Fluid Structure Interaction solver with heat transfer☆11Updated 7 months ago
- Multi-fidelity reduced-order surrogate modeling☆22Updated this week
- Sparse Physics-based and Interpretable Neural Networks☆48Updated 3 years ago
- RBniCS - reduced order modelling in FEniCS (legacy)☆107Updated 2 months ago
- One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-or…☆28Updated last year
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆20Updated 4 years ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆58Updated 4 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆18Updated 2 years ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆30Updated 4 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…☆30Updated 4 years ago