Ha Min Young, Yoon Tae Jun, Tlusty Tsvi, Jho Yongseok, Lee Won Bo
School of Chemical and Biological Engineering, Institute of Chemical Processes , Seoul National University , Seoul 08826 , Republic of Korea.
Center for Soft and Living Matter , Institute for Basic Science (IBS) , Ulsan 44919 , Korea.
J Phys Chem Lett. 2018 Apr 5;9(7):1734-1738. doi: 10.1021/acs.jpclett.8b00430. Epub 2018 Mar 22.
Density fluctuations and the Widom line are of great importance in understanding the critical phenomena and the behaviors of supercritical fluids (SCFs). We report on the direct classification of liquid-like and gas-like molecules coexisting in the SCF, identified by machine learning analysis on simulation data. The deltoid coexistence region encloses the Widom line and may therefore be termed the Widom delta. Number fractions of gas-like and liquid-like particles are found to undergo continuous transition across the delta, following a simplified two-state model. These fractions are closely related to the magnitude of supercritical anomaly, which originates from the fluctuation between the two types. This suggests a microscopic view of the SCF as a mixture of liquid-like and gas-like structures, providing an integrative explanation to the anomalous behaviors near the critical point and the Widom line.
密度涨落和维德曼线对于理解临界现象和超临界流体(SCF)的行为至关重要。我们报告了通过对模拟数据进行机器学习分析,对共存于超临界流体中的类液体和类气体分子进行的直接分类。三角形共存区域包围着维德曼线,因此可称为维德曼三角形。发现类气体和类液体粒子的数量分数在这个三角形区域内遵循简化的双态模型发生连续转变。这些分数与超临界异常的大小密切相关,超临界异常源于这两种类型之间的涨落。这表明超临界流体的微观视图是类液体和类气体结构的混合物,为临界点和维德曼线附近的异常行为提供了综合解释。