Ghanesh Narasimhan ghanesh91

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1. Apply SOM method to identify T-NT interface on JHTDB's transitional turbulent boundary layer. The code was used in JHU's Statistical Learning for Engineers course during Fall 2019.

   Jupyter Notebook 2

2. The repository consists of MATLAB programmes for solving flow around cylinder using finite difference and volume penalization immersed boundary method. The code was developed as part of the final p…

   MATLAB 5

3. This repo consists of machine learning techniques for turbulent/non-turbulent flow classification.

   Jupyter Notebook

4. These codes compute the decay of kinetic and magnetic energies of a Gaussian eddy in the presence of magnetic field and background rotation.

   Python

5. Compute steady-state wake structure behind yawed or unyawed wind turbines by prescribing ABL inflow velocity profiles.

   MATLAB

6. Turbulent Curvilinear model for Wind-Wave interaction

   Jupyter Notebook 1 1