利用实时时变密度泛函理论的离子水链中的质子转移动力学

Vidushi Sharma, M. Fernández-Serra
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引用次数: 1

摘要

在密度functional-theoretic星群水基系统的研究,负责的角色定位在质子转移动力学原因还不是很清楚。这是由于在存在交换和相关泛函误差的情况下提取耦合电子-核非绝热动力学的贡献固有的复杂性。在这项工作中,我们通过使用基于实时时变密度泛函理论(rt-TDDFT)的Ehrenfest动力学模拟电离线性h键水团簇的模型系统来解决这个问题。我们的目的是了解半局部交换和相关泛函中的自相互作用误差如何影响质子转移的概率。特别地,我们发现对于H键(H$_2$O)$_n^+$链($n>3$),质子转移概率达到最大值,与杂化泛函预测的结果相当。这是因为在扩展的氢键结构中,半键型几何形状的形成在很大程度上受到抑制。我们还展示了初始光空穴的定位程度如何与质子转移反应的概率以及电子荷和原子核荷之间的分离联系在一起。这些结果与绝热动力学得到的结果进行了比较,在绝热动力学中,允许初始波函数松弛到离子簇的基态,解释了为什么不同的函数和动力学方法会导致定量不同的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proton-transfer dynamics in ionized water chains using real-time time-dependent density functional theory
In density functional-theoretic studies of photoionized water-based systems, the role of charge localization in proton-transfer dynamics is not well understood. This is due to the inherent complexity in extracting the contributions of coupled electron-nuclear non-adiabatic dynamics in the presence of exchange and correlation functional errors. In this work, we address this problem by simulating a model system of ionized linear H-bonded water clusters using real-time Time Dependent Density Functional Theory (rt-TDDFT)-based Ehrenfest dynamics. Our aim is to understand how self-interaction error in semilocal exchange and correlation functionals affects the probability of proton transfer. In particular, we show that for H-bonded (H$_2$O)$_n^+$ chains (with $n>3$), the proton-transfer probability attains a maximum, becoming comparable to that predicted by hybrid functionals. This is because the formation of hemibonded-type geometries is largely suppressed in extended H-bonded structures. We also show how the degree of localization of the initial photo-hole is connected to the probability of a proton-transfer reaction, as well as to the separation between electronic and nuclear charge. These results are compared to those obtained with adiabatic dynamics where the initial wavefunction is allowed to relax to the ground state of the ion cluster, explaining why different functionals and dynamical approaches lead to quantitatively different results.
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