FarFarmer's repositories
dns-channel
Direct Numerical Simulation of an incompressible turbulent channel flow (CPL)
Turbulence
This repository contains code to make a neural network that determines if an aircraft is flying through very turbulent, somewhat turbulent, or calm weather based on accelerometer readings. This also includes datasets and unlabeled data that requires processing to be used as datasets. The neural networks are written in Python, using Keras with TensorFlow backend.
OpenFOAM-3.0.x
OpenFOAM Foundation patch version of OpenFOAM-3.0
mPOD
Matlab script to calculate proper orthogonal decomposition using mPOD approach
Keras-Tutorials-1
Simple tutorials using Keras Framework
Fluid2d
A versatile Python-Fortran CFD code that solves a large class of 2D flows
fvm-1D
Python implementation of 1D finite volume method with simple upwind and weighted essentially non-oscillatory (WENO) scheme.
1D-RANS
1D RANS model simulation at fully developed turbulent channel flow.
Nek5000-1
The open-source, highly-scalable, always-portable spectral element CFD code
Keras-Tutorials
Keras-Tutorials
OpenHyperFLOW2D
Parallel (C++/MPI/OpenMP/CUDA) research-educational CFD code for simulation 2D (flat/axisymmetrical) transient viscous compressible multicomponent sub/trans/supersonic reacting gas flow with RANS/URANS turbulence models.
fvm2d
2-d vertex based unstructured code for Euler, Navier-Stokes and RANS
latticeboltzmann
Lattice Boltzmann for Fluid Dynamics
dns
direct numerical simulation
CFD-Python
exercises Anderson's CFD book python
cfd-euler-2d
CFD code for two dimensional Euler equation using finite volume techniques (unstructured mesh)
FVM
Finite volume method applied to the advection-diffusion equation
PyDNS
Python Direct Numerical Simulation
cffi-f77
Examples of linking FORTRAN 77 subroutines to common lisp