sayin
Fluid/Thermal systems, CFD, Machine Learning and Optimization.
Oklahoma State UniversityStillwater, OK
Pinned Repositories
1D-finite-diffence-Euler-sover
1d_Finite_Difference_Euler_Solver
1D_gaseous_cooling_matlab
CaNS
A code for fast, massively-parallel direct numerical simulations (DNS) of canonical flows
Data_Driven_Symbolic_Regression
Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used to identify physical process, numerical schemes, and LES subgrid scale (eddy viscosity) turbulence models.
Machine_Learning_CS_5783
Python based machine learning codes developed for CS_5783 course
OpenFOAM-Tutorials
Introduces basic C++ concepts to beginner users of the OpenFOAM open-source CFD libraries.
Optimization_Data_Assimilation_MAE_5010
Python codes for Data Assimilation course MAE-5010
Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
Physics_informed_GANs_turbulent_flows
Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution (DNS) fields without solving NS equations numerically.
Pyhton_LES_solver_2D_decaying_trubulence
This repository contains python based LES solver (FDM/spectral) of 2D decaying turbulence.
sayin's Repositories
sayin/Laplace_solver
sayin/gauss_elimination
Fortran code for gauss elimination method
sayin/numerical-mooc
A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.
sayin/FluidNet
Accelerating Eulerian Fluid Simulation With Convolutional Networks
sayin/Numerical-Recipes
Numerical Recipes
sayin/high_performance_python
Code for the book "High Performance Python" by Micha Gorelick and Ian Ozsvald with OReilly
sayin/Spark-Chapel-TF-UMich-2016
Slides and materials for workshop at University of Michigan MICDE