Difference between revisions of "Ganesh Sivaraman"

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{{Person
 
{{Person
 
|name=Sivaraman, Ganesh
 
|name=Sivaraman, Ganesh
|title=Mr.
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|title=
 
|status=PhD student
 
|status=PhD student
|room=1.077
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|room=1.080
|phone=
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|phone=67721
|category=fyta
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|email=ganesh
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|category=former
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|image=Ganesh_sivaraman.jpg
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|topical=nanopore
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|topical2=atomistics
 
}}
 
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== Research ==
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My research involves computational modeling of solid state devices / materials for  next generation [https://en.wikipedia.org/wiki/Nanopore 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.
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* Nucleobase interactions with lower diamondoids.
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* The solid state device simulation involves gold electrodes embedded with diamond caged molecules (i.e. Diamondoids) for tunneling based electric DNA sequencing devices .
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* Mutation and methylations detection
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[[File:tip_Rev4.png|500px|center|DIamondoid tipped gold electrodes]]
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* Material modeling  of Semiconducting (2H) / metallic (1T) phase in MoS<sub>2</sub>  monolayer for novel nanoscale bio-sensing application.
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[[File:HybridMOS2_V1.png|500px|center|Semiconductor-Metal-Semiconductor]]
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* '''Sorted Coulomb matrix generator for Machine learning''' : [https://papers.nips.cc/paper/4830-learning-invariant-representations-of-molecules-for-atomization-energy-prediction.pdf 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 [https://spark.apache.org/docs/latest/ml-guide.html Apache Spark MLlib]. The serial version of the code can be accessed [https://github.com/pythonpanda/coulomb_matrix/tree/coulomb-matrix-generator here].
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<span style="font-size:200%"> '''publications''' &rarr; [https://www.researchgate.net/profile/Ganesh_Sivaraman here]</span>.
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=== Master Thesis ===
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{{Download|MSc_thesis_abstract_sivaraman.pdf|"Effect of The Protein Electric Field on The Spectral Tuning Of A Photosynthetic System"}}, 2012, [http://bio.phys.uniroma1.it CBBC Group], Sapienza University of Rome, Italy.

Latest revision as of 07:49, 13 September 2017

As Ganesh Sivaraman is not a member of our working group anymore, the information on this page might be outdated.
Ganesh sivaraman.jpg
Ganesh Sivaraman
PhD student
Office:1.080
Phone:+49 711 685-67721
Fax:+49 711 685-63658
Email:ganesh _at_ icp.uni-stuttgart.de
Address:Ganesh Sivaraman
Institute for Computational Physics
Universität Stuttgart
Allmandring 3
70569 Stuttgart
Germany

Research

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
DIamondoid tipped gold electrodes
  • Material modeling of Semiconducting (2H) / metallic (1T) phase in MoS2 monolayer for novel nanoscale bio-sensing application.
Semiconductor-Metal-Semiconductor
  • 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.


publicationshere.

Master Thesis

application_pdf.png"Effect of The Protein Electric Field on The Spectral Tuning Of A Photosynthetic System" (267 KB)Info circle.png, 2012, CBBC Group, Sapienza University of Rome, Italy.