Accurate prediction of ionic liquid density-of-states from low-cost calculations†

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL Physical Chemistry Chemical Physics Pub Date : 2025-03-21 DOI:10.1039/D5CP00214A
Richard M. Fogarty, Richard P. Matthews, Patricia A. Hunt and Kevin R. J. Lovelock
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Abstract

The electronic structure of ionic liquids (ILs) is a key factor in their chemical reactivity. Experimental techniques provide insight into IL electronic structure (e.g., X-ray photoelectron spectroscopy, XPS), but are impractical for screening large numbers of potential ILs. Computational screening offers an alternative approach, but current ab initio calculation methods (ion-pairs or large calculations with periodic boundaries) are not suitable for screening. We establish that a simple and computationally low-cost method, lone-ions evaluated at the B3LYP-D3(BJ)/6-311+G(d,p) level employing a generalised solvation model SMD (solvation model based on density), captures IL liquid-phase density-of-states (DoS) with good accuracy by validating against XPS data for a wide range of ILs. The additivity of the results from individual lone-ion calculations provides a significant advantage, enabling predictions of the DoS for a large number of ILs and delivering a significant step towards the computational screening of ILs for many applications.

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从低成本计算中精确预测离子液体的态密度
离子液体(IL)的电子结构是影响其化学反应活性的关键因素。实验技术可以深入了解离子液体的电子结构(如 X 射线光电子能谱,XPS),但对于筛选大量潜在的离子液体来说并不现实。计算筛选提供了另一种方法,但目前的原子序数计算方法(离子对或具有周期边界的大型计算)并不适合筛选。我们确定了一种简单且计算成本较低的方法,即在 B3LYP-D3(BJ)/6-311+G(d,p)水平上采用广义溶解模型 SMD(基于密度的溶解模型)评估孤离子,通过对多种 IL 的 XPS 数据进行验证,该方法能准确捕捉 IL 的液相态密度 (DoS)。单个孤离子计算结果的相加性提供了一个显著的优势,可以预测大量 IL 的 DoS,为许多应用领域的 IL 计算筛选迈出了重要的一步。
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来源期刊
Physical Chemistry Chemical Physics
Physical Chemistry Chemical Physics 化学-物理:原子、分子和化学物理
CiteScore
5.50
自引率
9.10%
发文量
2675
审稿时长
2.0 months
期刊介绍: Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.
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