Abstract
In this study, a one-dimensional stochastic model based on the random walk approach is used to simulate cyclic voltammetry. The model takes into account mass transport, kinetics of the redox reactions, adsorption effects and changes in the morphology of the electrode. The model is shown to display the expected behavior. Furthermore, the model shows consistent qualitative agreement with a finite difference solution. This approach allows for an understanding of phenomena on a microscopic level and may be useful for analyzing qualitative features observed in experimentally recorded signals.
Highlights
Cyclic voltammetry is an important and widely used technique to characterize electrochemical behavior of an analyte
A one-dimensional stochastic model based on the random walk approach is used to simulate cyclic voltammetry
The model takes into account mass transport, kinetics of the redox reactions, adsorption effects and changes in the morphology of the electrode
Summary
Cyclic voltammetry is an important and widely used technique to characterize electrochemical behavior of an analyte. Despite its significance, the model was still unable to reproduce certain features observed during the experiment This may be attributed to the fact that the BET isotherm which accounts for multilayer adsorption does not account for the interaction between the adsorbed atoms and because the continuum approach does not allow for a detailed description of atomic-level processes. Another approach which has been commonly recently applied in the study of cyclic voltammetry is the stochastic approach. A deterministic finite difference model will be used for qualitative comparison with the stochastic model
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