maziarraissi / DeepTurbulenceLinks
Deep Learning of Turbulent Scalar Mixing
☆17Updated 5 years ago
Alternatives and similar repositories for DeepTurbulence
Users that are interested in DeepTurbulence are comparing it to the libraries listed below
Sorting:
- Machine learning of linear differential equations using Gaussian processes☆24Updated 7 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- LES-ML closures for Kraichnan turbulence☆18Updated 5 years ago
- Tutorial on a number of topics in Deep Learning☆35Updated 5 years ago
- ☆24Updated 7 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
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 4 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆18Updated 2 years ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 4 years ago
- This repo is a work in progress aimed at gathering useful open-source resources for CFD engineers in one place. It includes notes, script…☆10Updated last month
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆32Updated 2 years ago
- Direct Numerical Simulation of Fluid Flow with IBM Using Python☆32Updated last year
- ☆19Updated 7 years ago
- Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.☆23Updated 5 months ago
- This code implements the Tensor Basis Neural Network (TBNN) as described in Ling et al. (Journal of Fluid Mechanics, 2016).☆40Updated 7 years ago
- 1D RANS model simulation at fully developed turbulent channel flow.☆17Updated 8 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆20Updated 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
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆11Updated 4 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
- Immersed boundary - Fluid Structure Interaction solver with heat transfer☆11Updated 9 months ago
- Tensor Basis Neural Network for Scalar Mixing☆10Updated 2 years ago
- Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).☆19Updated last year
- One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-or…☆28Updated last year
- Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.☆26Updated 2 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…☆31Updated 4 years ago
- This repository contains python based LES solver (FDM/spectral) of 2D decaying turbulence.☆14Updated 5 years ago