Accurate Prediction of Ionic Liquid Density-of-States from Low-Cost Calculations

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL
Richard Fogarty, Richard Paul Matthews, Patricia A. Hunt, Kevin R. J. Lovelock
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引用次数: 0

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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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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