Pruteanu Ciprian G, Robinson Victor Naden, Hassanali Ali, Scandolo Sandro, Loveday John S, Ackland Graeme J
Department of Earth Sciences, University College London, Gower Street, London WC1E 6B, United Kingdom.
The "Abdus Salam" International Centre for Theoretical Physics, Strada Costiera 11, I-34151 Trieste, Italy.
J Chem Phys. 2022 Feb 7;156(5):054502. doi: 10.1063/5.0077912.
It has recently been discovered that, when subjected to moderate amounts of pressure, methane dissolves in water to form binary mixtures of up to 40% molar methane. No significant solubility of water in methane is known. In these mixtures, the water hydrogen-bond network is largely complete and surrounds the methane molecules. The discovery of this dense mixture has once again highlighted the technical difficulties involved in accurately describing and sampling mixing phenomena both computationally and experimentally. Here, we present a systematic and critical study of the methods employed to characterize binary mixtures and their robustness. This study highlights the requirements needed to develop a quantitative understanding, and it proposes new and more accessible measures of miscibility to investigators, particularly for in silico analysis.
最近发现,当受到适度压力时,甲烷会溶解于水中,形成摩尔甲烷含量高达40%的二元混合物。目前尚未发现水在甲烷中有显著的溶解性。在这些混合物中,水的氢键网络基本完整,并围绕着甲烷分子。这种致密混合物的发现再次凸显了在计算和实验方面准确描述和采样混合现象所涉及的技术难题。在此,我们对用于表征二元混合物的方法及其稳健性进行了系统且批判性的研究。这项研究突出了形成定量理解所需的条件,并为研究人员提出了新的、更易于获取的混溶性度量方法,特别是用于计算机模拟分析。