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arXiv 2101.09160cond-mat.softphysics.chem-ph
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水的经典模型中氢键网络的拓扑结构和复杂性

Topology and complexity of the hydrogen bond network in classical models of water

Fausto Martelli

摘要:

多年来,大量的经典相互作用势的水已经开发和测试的结构,动力学和热力学性质。另一方面,最近观察到(F。马尔泰利等等,\textit{ACS Nano},\textbf{14},8616- 8623,2020),氢键网络(HBN)的拓扑结构是一种非常敏感的测量,在开发新的相互作用势时应当考虑。在这里,我们报告了一个彻底的比较11个流行的非极化经典水模型对他们的HBN,这是在水的性质的根源。我们探测的HBN的拓扑结构,使用环的统计数据,我们评估的网络质量检查的百分比破损和完好的HB。对于每个水模型,我们评估了发展六方环(在低温下促进结晶)和五边形环(已知在低温下阻碍结晶)的趋势。然后,我们介绍了\emph{network complexity index},一个通用的描述符,以量化多少给定的网络的拓扑结构偏离的基态,即六边形或立方冰。值得注意的是,我们发现,网络的复杂性指数,使我们能够与,第一次,不同的水模型的动力学性质与其底层的拓扑结构的HBN。我们的研究提供了一个基准,新模型的性能应该进行测试,并介绍了一种通用的方法来量化网络的复杂性,可以转移到其他材料,并链接的HBN的拓扑结构与动态特性。最后,我们的研究引入了一个新的视角,可以帮助合理化水和其他材料的不同阶段之间的转换。

英文摘要:

Over the years, plenty of classical interaction potentials for water have been developed and tested against structural, dynamical and thermodynamic properties. On the other hands, it has been recently observed (F. Martelli et. al, \textit{ACS Nano}, \textbf{14}, 8616--8623, 2020) that the topology of the hydrogen bond network (HBN) is a very sensitive measure that should be considered when developing new interaction potentials. Here we report a thorough comparison of 11 popular non polarizable classical water models against their HBN, which is at the root of water properties. We probe the topology of the HBN using the ring statistics and we evaluate the quality of the network inspecting the percentage of broken and intact HBs. For each water model, we assess the tendency to develop hexagonal rings (that promote crystallization at low temperatures) and pentagonal rings (known to frustrate against crystallization at low temperatures). We then introduce the \emph{network complexity index}, a general descriptor to quantify how much the topology of a given network deviates from that of the ground state, namely of hexagonal or cubic ice. Remarkably, we find that the network complexity index allows us to relate, for the first time, the dynamical properties of different water models with their underlying topology of the HBN. Our study provides a benchmark against which the performances of new models should be tested against, and introduces a general way to quantify the complexity of a network which can be transferred to other materials and that links the topology of the HBN with dynamical properties. Finally, our study introduces a new perspective that can help in rationalizing the transformations among the different phases of water and of other materials.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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