Computational dft analysis of cobalt doped nanomaterials to enhance the performance of fuel cell and mosfet

Abstract

Cobalt is a ferromagnetic metal with a very good magnetic moment. Cobalt in newlinenanoscale will enhance the movement of electrons in any device due to its newlinemagnetic property. In proton-exchange membrane fuel cells (PEMFC) newlineapplication the catalytic property of nanomaterials is very important because it newlinewould enhance the efficiency to a greater extent. In this work, Monte Carlo newlineand DFT simulation were carried out for platinum/cobalt material which is newlinedoped at different proportions to reduce the platinum loading to decrease the newlinecost of a catalyst. Density of states and OH- absorption was carried out to newlineanalyse the samples. In MOSFET device as the size decreases to nanoscale newlinethe short channel effect will occur due to decrease in dielectric constant of a newlineSilicon Oxide material. Cobalt is doped to the Silicon oxide material to newlineimprove the Dielectric function due to its magnetic nature. The samples were newlineanalysed based on DFT and properties like band structure, density of states newlineand dielectric constant were simulated and analysed newline