Physical Chemistry Chemical Physics· 2014Q2· Review
Computational electrochemistry: prediction of liquid-phase reduction potentials
- 515citations
- Q2SCImago
- 2014year
Short summary
This review highlights computational methods for predicting liquid-phase reduction potentials, combining quantum mechanics (like DFT) with implicit or explicit solvent models, and empirical structure-reactivity relationships.
AI-generated from the title and abstract; the full text is not read.
Key points
- Reviews computational protocols for predicting liquid-phase reduction potentials.
- Discusses methods combining quantum mechanics (DFT) with implicit and explicit solvent models.
- Includes Marcus theory and empirical structure-reactivity relationships.
- Outlines the present status and future directions in the field.
AI-generated from the title and abstract; the full text is not read.
Abstract
This article reviews recent developments and applications in the area of computational electrochemistry. Our focus is on predicting the reduction potentials of electron transfer and other electrochemical reactions and half-reactions in both aqueous and nonaqueous solutions. Topics covered include various computational protocols that combine quantum mechanical electronic structure methods (such as density functional theory) with implicit-solvent models, explicit-solvent protocols that employ Monte Carlo or molecular dynamics simulations (for example, Car-Parrinello molecular dynamics using the grand canonical ensemble formalism), and the Marcus theory of electronic charge transfer. We also review computational approaches based on empirical relationships between molecular and electronic structure and electron transfer reactivity. The scope of the implicit-solvent protocols is emphasized, and the present status of the theory and future directions are outlined.
The authors' abstract, as published at the source. Physical Chemistry Chemical Physics, 2014 · DOI ↗
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Field: Electrochemistry
ElectrochemistryChemistry