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通过重叠和交错构象模板匹配对液态水以及界面冰、立方冰和六方冰进行分类。

Liquid Water and Interfacial, Cubic, and Hexagonal Ice Classification through Eclipsed and Staggered Conformation Template Matching.

作者信息

Roudsari Golnaz, Veshki Farshad G, Reischl Bernhard, Pakarinen Olli H

机构信息

Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, P.O. Box 64, Helsinki FI-00014, Finland.

Department of Signal Processing and Acoustics, School of Electrical Engineering, Aalto University, P.O. Box 11000, Espoo FI-00076, Finland.

出版信息

J Phys Chem B. 2021 Apr 22;125(15):3909-3917. doi: 10.1021/acs.jpcb.1c01926. Epub 2021 Apr 12.

Abstract

We propose a novel method based on template matching for the recognition of liquid water, cubic ice (ice I), hexagonal ice (ice I), clathrate hydrates, and different interfacial structures in atomistic and coarse-grained simulations of water and ice. The two template matrices represent staggered and eclipsed conformations, which are the building blocks of hexagonal and cubic ice and clathrate crystals. The algorithm is rotationally invariant and highly robust against imperfections in the ice structure, and its sensitivity for recognizing ice-like structures can be tuned for different applications. Unlike most other algorithms, it can discriminate between cubic, hexagonal, clathrate, mixed, and other interfacial ice types and is therefore well suited to study complex systems and heterogeneous ice nucleation.

摘要

我们提出了一种基于模板匹配的新方法,用于在水和冰的原子尺度和粗粒度模拟中识别液态水、立方冰(冰I)、六方冰(冰I)、笼形水合物以及不同的界面结构。这两个模板矩阵代表交错和重叠构象,它们是六方冰、立方冰和笼形晶体的基本组成部分。该算法具有旋转不变性,对冰结构中的缺陷具有高度鲁棒性,并且其识别类冰结构的灵敏度可针对不同应用进行调整。与大多数其他算法不同,它可以区分立方、六方、笼形、混合和其他界面冰类型,因此非常适合研究复杂系统和异质冰核化。

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