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基于离子体积和静电势分析的离子液体筛选。

Screening Ionic Liquids Based on Ionic Volume and Electrostatic Potential Analyses.

机构信息

Department of Chemical and Biological Engineering, The University of Alabama, Tuscaloosa, Alabama 35487, United States.

出版信息

J Phys Chem B. 2021 Apr 15;125(14):3653-3664. doi: 10.1021/acs.jpcb.0c10259. Epub 2021 Apr 6.

Abstract

Ionic liquids (ILs) are known to have tunable solvation properties, based on the pairing of different anions and cations, but the compositional landscape is vast and challenging to navigate efficiently. Some computational screening protocols are available, but they can be either time-consuming or difficult to implement. Herein, we perform a detailed investigation of the fundamental role of electrostatic interactions in these systems. We effectively develop a bridge between the previous volume-based approach with a quantum structure-property relationship approach to create fast, simple screening guidelines. We propose a new parameter that is applicable to both monovalent and multivalent ions, the ionic polarity index (IPI), which is defined as the ratio of the average electrostatic surface potential () of the ion to the net charge of the ion (). The IPI correlation has been tested on a diverse data set of 121 ions, and reliable predictions can be obtained within a homologous series of IL compounds.

摘要

离子液体 (ILs) 因其阴离子和阳离子的不同组合而具有可调节的溶剂化性质,但组成范围广泛,难以有效导航。虽然有一些计算筛选协议可用,但它们要么耗时,要么难以实施。在此,我们对这些系统中静电相互作用的基本作用进行了详细研究。我们有效地在基于体积的方法和量子结构-性质关系方法之间建立了桥梁,以创建快速、简单的筛选指南。我们提出了一个新的参数,适用于单价和多价离子,即离子极性指数 (IPI),其定义为离子的平均静电表面电势 () 与离子的净电荷 () 的比值。该 IPI 相关性已经在包含 121 个离子的多样化数据集上进行了测试,并且可以在 IL 化合物的同系物系列中获得可靠的预测。

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