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As Ganesh Sivaraman is not a member of our working group anymore, the information on this page might be outdated.
|Phone:||+49 711 685-67721|
|Fax:||+49 711 685-63658|
|Email:||ganesh _at_ icp.uni-stuttgart.de|
Institute for Computational Physics
My research involves computational modeling of solid state devices / materials for next generation label free DNA sequencing (and proteomics ) on High-performance computers. The device simulations are performed with the framework of Density functional theory (DFT) combined with Non-Equilibrium Greens Function (NEGF) Formalism. In addition, I am interest in the application of Machine learning to Nanotechnology and Materials modeling.
- Nucleobase interactions with lower diamondoids.
- The solid state device simulation involves gold electrodes embedded with diamond caged molecules (i.e. Diamondoids) for tunneling based electric DNA sequencing devices .
- Mutation and methylations detection
- Material modeling of Semiconducting (2H) / metallic (1T) phase in MoS2 monolayer for novel nanoscale bio-sensing application.
- Sorted Coulomb matrix generator for Machine learning : coulomb matrix has been developed as a feature to map and predict molecular properties. The python code takes in a collection of SMILE strings as inputs and returns a CSV file containing Labeled point vectors of molecules, optimized to be read by Apache Spark MLlib. The serial version of the code can be accessed here.
publications → here.
"Effect of The Protein Electric Field on The Spectral Tuning Of A Photosynthetic System" (267 KB), 2012, CBBC Group, Sapienza University of Rome, Italy.