Shady-Ahmed / NLPOD
Nonlinear proper orthogonal decomposition for convection-dominated flows
☆13Updated 3 years ago
Alternatives and similar repositories for NLPOD:
Users that are interested in NLPOD are comparing it to the libraries listed below
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated last year
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆29Updated 2 years ago
- LES-ML closures for Kraichnan turbulence☆18Updated 4 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆11Updated 3 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆23Updated 3 years ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆30Updated 4 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆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…☆29Updated last year
- One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-or…☆27Updated last year
- Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.☆19Updated 3 weeks ago
- ☆16Updated 7 years ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆14Updated 2 years ago
- 1D RANS model simulation at fully developed turbulent channel flow.☆17Updated 8 years ago
- Tensor Basis Neural Network for Scalar Mixing☆10Updated last year
- ITHACA-SEM - In real Time Highly Advanced Computational Applications for Spectral Element Methods☆18Updated 2 years ago
- Direct Numerical Simulation of Fluid Flow with IBM Using Python☆29Updated last year
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆19Updated 4 years ago
- This repository contains the codes for DNS of channel flow.☆9Updated 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
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆21Updated 4 years ago
- OpenFOAM simulations of transonic shock buffets at a NACA-0012 airfoil☆24Updated last year
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆17Updated 2 years ago
- ☆20Updated 3 years ago
- Immersed boundary - Fluid Structure Interaction solver with heat transfer☆9Updated 4 months ago
- In computational fluid dynamics (CFD), the SIMPLE algorithm is a widely used numerical procedure to solve the Navier–Stokes equations. SI…☆14Updated 4 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆9Updated last year
- Tutorial on proper orthogonal decomposition (POD) based reduced order modeling (ROM) for the heat equation with FEniCS.☆10Updated 2 years ago
- CU-BEN serial version: geometric and material nonlinear static and transient dynamic structural analysis/ linear acoustic fluid structure…☆11Updated 4 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆16Updated last year
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆21Updated last year