maziarraissi / DeepTurbulenceLinks
Deep Learning of Turbulent Scalar Mixing
☆17Updated 6 years ago
Alternatives and similar repositories for DeepTurbulence
Users that are interested in DeepTurbulence are comparing it to the libraries listed below
Sorting:
- LES-ML closures for Kraichnan turbulence☆19Updated 5 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 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
- Convolutional Solvers for Partial Differential Equations☆27Updated 5 years ago
- This code implements the Tensor Basis Neural Network (TBNN) as described in Ling et al. (Journal of Fluid Mechanics, 2016).☆42Updated 7 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Updated 4 years ago
- Tutorial on a number of topics in Deep Learning☆36Updated 5 years ago
- Spectral methods in matlab☆12Updated 7 months ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆22Updated 2 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆33Updated 3 years ago
- 1D RANS model simulation at fully developed turbulent channel flow.☆17Updated 8 years ago
- Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.☆26Updated 2 years ago
- One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-or…☆29Updated last year
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Updated 4 years ago
- Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.☆24Updated 10 months ago
- Nonlinear proper orthogonal decomposition for convection-dominated flows☆14Updated 4 years ago
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆11Updated 2 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 Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- SIMPLE Algorithm for Driven Cavity problem on collocated grid using Python.☆24Updated 4 years ago
- Tensor Basis Neural Network for Scalar Mixing☆10Updated 2 years ago
- Machine learning of linear differential equations using Gaussian processes☆25Updated 7 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆26Updated 4 years ago
- Direct Numerical Simulation of Fluid Flow with IBM Using Python☆33Updated 2 years ago
- ML-based Surrogate Models to enhance CFD solvers by solving the Pressure Poisson Equation☆10Updated 9 months ago
- ☆19Updated 7 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆65Updated 3 years ago
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆15Updated 3 years ago
- ☆21Updated 5 years ago