The kinetic rates of electrochemical reactions depend
on electrodes
and molecules in question. In a flow battery, where the electrolyte
molecules are charged and discharged on the electrodes, the efficiency
of the electron transfer is of crucial importance for the performance
of the device. The purpose of this work is to present a systematic
atomic-level computational protocol for studying electron transfer
between electrolyte and electrode. The computations are done by using
constrained density functional theory (CDFT) to ensure that the electron
is either on the electrode or in the electrolyte. The ab initio molecular
dynamics (AIMD) is used to simulate the movement of the atoms. We
use the Marcus theory to predict electron transfer rates and the combined
CDFT-AIMD approach to compute the parameters for the Marcus theory
where it is needed. We model the electrode with a single layer of
graphene and methylviologen, 4,4′-dimethyldiquat, desalted
basic red 5, 2-hydroxy-1,4-naphthaquinone, and 1,1-di(2-ethanol)-4,4-bipyridinium
were selected for the electrolyte molecules. All of these molecules
undergo consecutive electrochemical reactions with one electron being
transferred at each stage. Because of significant electrode–molecule
interactions, it is not possible to evaluate outer-sphere ET. This
theoretical study contributes toward the development of a realistic-level
prediction of electron transfer kinetics suitable for energy storage
applications.