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About Me
Researcher
Selva Chandrasekaran Selvaraj is a researcher in the field of computational materials science. Selva enjoys preparing and practicing computational techniques based on quantum chemical concepts and machine learning methods to solve materials science problems.
Area of expertise
Semiconductor defects, Inorganic oxide materials for Li-ion batteries, Hydrogen storage, and fuel
cell materials, Density functional theory, Simulation of DFT, Nanostructure (tube, wire,
interfaces, and surfaces) modeling, Force field calculations, Advanced Python coding,
parallel/multicore computing, Machine learning techniques using SKLearn and TensorFlow,
Shell scripting, Ability in data analysis, and writing scientific reports in LaTEX.
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