Theoretical Application of Statistical Thermodynamics to Establish Energy Level Profile in Conductin

Electronically conducting polymers have been the focus of much research due to their wide range of uses in energy generation, electrochromic devices, and other fields. Unfortunately, the exact mechanism of conduction in these polymers has yet to be determined. Various strategies for accounting for conductivity in these conducting organic materials have been presented, but none of them entirely suit the behaviour of these polymers.

The energy level profile in these organic conductors is attempted to be established and proposed using theoretical modelling based on Boltzmann and Fermi-Dirac statistical distribution models in this research. The profile of energy levels

The features of these organic conductors are accounted for using a partition function. The results reveal that the Fermi-Dirac distribution model produces a more accurate energy distribution.

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