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Understanding Electron Transfer Reactions Using Constrained Density Functional Theory: Complications Due to Surface Interactions




TekijätHashemi Arsalan, Peljo Pekka, Laasonen Kari

KustantajaAMER CHEMICAL SOC

Julkaisuvuosi2023

JournalJournal of Physical Chemistry C

Tietokannassa oleva lehden nimiJOURNAL OF PHYSICAL CHEMISTRY C

Lehden akronyymiJ PHYS CHEM C

Vuosikerta127

Numero7

Aloitussivu3398

Lopetussivu3407

Sivujen määrä10

ISSN1932-7447

DOIhttps://doi.org/10.1021/acs.jpcc.2c06537

Verkko-osoitehttps://pubs.acs.org/doi/10.1021/acs.jpcc.2c06537

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/179053470


Tiivistelmä
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.

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