Suppr超能文献

计算电化学:液相还原电位的预测

Computational electrochemistry: prediction of liquid-phase reduction potentials.

作者信息

Marenich Aleksandr V, Ho Junming, Coote Michelle L, Cramer Christopher J, Truhlar Donald G

机构信息

Department of Chemistry, Chemical Theory Center, and Supercomputing Institute, University of Minnesota, 207 Pleasant Street S.E., Minneapolis, MN 55455-0431, USA.

出版信息

Phys Chem Chem Phys. 2014 Aug 7;16(29):15068-106. doi: 10.1039/c4cp01572j. Epub 2014 Jun 24.

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.

摘要

本文综述了计算电化学领域的最新进展与应用。我们重点关注预测电子转移以及水相和非水相溶液中其他电化学反应和半反应的还原电位。涵盖的主题包括将量子力学电子结构方法(如密度泛函理论)与隐式溶剂模型相结合的各种计算协议、采用蒙特卡罗或分子动力学模拟的显式溶剂协议(例如,使用巨正则系综形式的Car-Parrinello分子动力学)以及电子电荷转移的马库斯理论。我们还综述了基于分子与电子结构以及电子转移反应活性之间经验关系的计算方法。强调了隐式溶剂协议的范围,并概述了该理论的现状和未来方向。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验