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arXiv 0810.4688cond-mat.softcond-mat.stat-mech
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水液-液相变的集团Monte Carlo和数值平均场分析

Cluster Monte Carlo and numerical mean field analysis for the water liquid--liquid phase transition

Marco G. Mazza, Kevin Stokely, Elena Strekalova, H. Eugene Stanley, Giancarlo Franzese

摘要:

采用Wolff集团蒙特卡罗模拟和平均场方法中的数值极小化方法,采用一种能再现水在其流体相中的已知性质的胞元模型,研究了水的低温相图。这两种方法使我们能够研究水的热力学行为的温度下,其他数值方法-蒙特卡罗和分子动力学-严重阻碍了相关时间的大幅增加。聚类算法还允许我们强调液-液相变对应于四面体有序水分子的渗滤转变。

英文摘要:

By the Wolff's cluster Monte Carlo simulations and numerical minimization within a mean field approach, we study the low temperature phase diagram of water, adopting a cell model that reproduces the known properties of water in its fluid phases. Both methods allows us to study the water thermodynamic behavior at temperatures where other numerical approaches --both Monte Carlo and molecular dynamics-- are seriously hampered by the large increase of the correlation times. The cluster algorithm also allows us to emphasize that the liquid--liquid phase transition corresponds to the percolation transition of tetrahedrally ordered water molecules.

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