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Universality, Scaling, and Collapse in Supercritical Fluids.
The Journal of Physical Chemistry Letters ( IF 5.7 ) Pub Date : 2020-01-02 , DOI: 10.1021/acs.jpclett.9b03360
Min Young Ha 1 , Tae Jun Yoon 1 , Tsvi Tlusty 2, 3 , YongSeok Jho 4 , Won Bo Lee 1
Affiliation  

Supercritical fluid (SCF) is known to exhibit salient dynamic and thermodynamic crossovers and an inhomogeneous molecular distribution. However, the question as to what basic physics underlies these microscopic and macroscopic anomalies remains open. Here, using an order parameter extracted by machine learning, the fraction of gas-like (or liquid-like) molecules, we find simplicity and universality in SCF: First, all isotherms of a given fluid collapse onto a single master curve described by a scaling relation. The observed power law holds from the high-temperature and -pressure regime down to the critical point where it diverges. Second, phase diagrams of different compounds collapse onto their master curves by the same scaling exponent, thereby demonstrating a putative law of corresponding supercritical states in simple fluids. The reported results support a model of the SCF as a mixture of two interchangeable microstates, whose spatiotemporal dynamics gives rise to unique macroscopic properties.

中文翻译:

超临界流体的普遍性,规模化和崩溃。

已知超临界流体(SCF)表现出显着的动态和热力学交叉以及不均匀的分子分布。但是,关于哪些微观和宏观异常是基础物理学的问题仍然悬而未决。在这里,使用通过机器学习提取的阶数参数(气体样(或液体样)分子的分数),我们发现SCF的简单性和通用性:首先,给定流体的所有等温线都塌陷到单个主曲线上,该主曲线由a表示。比例关系。观察到的功率定律从高温和高压状态一直到其发散的临界点。其次,不同化合物的相图通过相同的比例指数收缩到其主曲线上,从而证明了简单流体中相应超临界态的推定定律。
更新日期:2020-01-04
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