Shady-Ahmed / NLPODLinks
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
Sorting:
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 4 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆32Updated 3 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆11Updated 4 years ago
- One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-or…☆28Updated last year
- 1D RANS model simulation at fully developed turbulent channel flow.☆17Updated 8 years ago
- Publication of Python code used to train ModalPINN☆11Updated 3 years ago
- Direct Numerical Simulation of Fluid Flow with IBM Using Python☆32Updated 2 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- LES-ML closures for Kraichnan turbulence☆18Updated 5 years ago
- In computational fluid dynamics (CFD), the SIMPLE algorithm is a widely used numerical procedure to solve the Navier–Stokes equations. SI…☆16Updated 4 years ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆30Updated 4 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆32Updated last year
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆18Updated 2 years ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆21Updated 5 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated last year
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆19Updated 2 years ago
- Tutorial on proper orthogonal decomposition (POD) based reduced order modeling (ROM) for the heat equation with FEniCS.☆10Updated 3 years ago
- ☆13Updated 3 years ago
- ☆25Updated 7 years ago
- Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.☆24Updated 6 months ago
- ☆22Updated 3 years ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Updated 2 years ago
- CU-BEN serial version: geometric and material nonlinear static and transient dynamic structural analysis/ linear acoustic fluid structure…☆11Updated 5 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- ITHACA-SEM - In real Time Highly Advanced Computational Applications for Spectral Element Methods☆20Updated 3 years ago
- A DNS and LES box code☆26Updated this week
- Flow Physics and Aeroacoustics Toolbox with Python☆29Updated 4 years ago