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耦合局域模方法计算振动光谱:在质子化水分子簇中的应用。

Coupled Local-Mode Approach for the Calculation of Vibrational Spectra: Application to Protonated Water Clusters.

机构信息

Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556, United States.

Condensed Matter and Statistical Physics, International Centre for Theoretical Physics, Strada Costiera, 11 I - 34151 Trieste, Italy.

出版信息

J Phys Chem Lett. 2021 Sep 30;12(38):9226-9232. doi: 10.1021/acs.jpclett.1c02254. Epub 2021 Sep 16.

DOI:10.1021/acs.jpclett.1c02254
PMID:34529914
Abstract

Spectroscopic studies of protonated water clusters (PWCs) have yielded enormous insights into the fundamental nature of the hydrated proton. Here, we introduce a new coupled local-mode (CLM) approach to calculate PWC OH stretch vibrational spectra. The CLM method combines a sampling of representative configurations from density functional theory (DFT)-based molecular dynamics (AIMD) simulations with DFT calculations of local-mode vibrational frequencies and couplings. Calculations of inhomogeneous OH stretch vibrational spectra for H(HO) and H(HO) agree well with experiment and higher-level calculations, and decompositions of the calculated spectra in terms of the coupled modes aids in the interpretation of the spectra. This observation is consistent with the idea that capturing anharmonicity and coupling is as important to accuracy as the underlying level of electronic structure theory. The CLM calculations can easily discern the configuration that dominates the experimental measurement for H(HO), which can adopt several low-energy conformations.

摘要

质子化水分子团(PWCs)的光谱研究为水合质子的基本性质提供了重要的见解。在这里,我们引入了一种新的耦合局域模式(CLM)方法来计算 PWCs 的 OH 伸缩振动光谱。CLM 方法结合了基于密度泛函理论(DFT)的分子动力学(AIMD)模拟的代表性构型的采样与局部模式振动频率和耦合的 DFT 计算。对 H(HO)和 H(HO)的非均匀 OH 伸缩振动光谱的计算与实验和更高水平的计算吻合得很好,并且根据耦合模式对计算光谱进行分解有助于对光谱的解释。这一观察结果与以下观点一致,即捕捉非谐性和耦合与电子结构理论的基础水平一样重要,对准确性至关重要。CLM 计算可以很容易地辨别出对 H(HO)的实验测量起主导作用的构型,它可以采用几种低能量构象。

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J Phys Chem Lett. 2021 Sep 30;12(38):9226-9232. doi: 10.1021/acs.jpclett.1c02254. Epub 2021 Sep 16.
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