Improved Estimates of the Critical Point Constants for Large n‑Alkanes Using Gibbs Ensemble Monte Carlo Simulations

In this work, we present improved estimates of the critical temperature (T c), critical density (ρc), critical pressure (P c), and critical compressibility factor (Z c) for n-alkanes with chain lengths as large as C48. These are obtained for several different force field models with Gibbs ensemble M...

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Bibliographic Details
Published in:Journal of chemical and engineering data Vol. 61; no. 10; pp. 3640 - 3649
Main Authors: Messerly, Richard A, Rowley, Richard L, Wilding, W. Vincent
Format: Journal Article
Language:English
Published: American Chemical Society 13-10-2016
Online Access:Get full text
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Summary:In this work, we present improved estimates of the critical temperature (T c), critical density (ρc), critical pressure (P c), and critical compressibility factor (Z c) for n-alkanes with chain lengths as large as C48. These are obtained for several different force field models with Gibbs ensemble Monte Carlo simulations. We implement a recently proposed data analysis method designed to reduce the uncertainty in T c, ρc, P c, and Z c when predicted with molecular simulation. The results show a large reduction in the uncertainties compared to the simulation literature with the greatest reduction found for ρc, P c, and Z c. Previously, even the most computationally intensive molecular simulation studies have not been able to elucidate the n-alkane P c trend with respect to larger carbon numbers. The results of this study are significant because the uncertainty in P c is small enough to discern between conflicting experimental data sets and prediction models for large n-alkanes. Furthermore, the results for T c resolve a discrepancy in the simulation literature with respect to the correct T c trend for large n-alkanes. In addition, the Z c results are reliable enough to determine the most accurate prediction trend for Z c. Finally, finite-size effects are shown to not be significant even for the relatively small system sizes required for efficient simulation of longer chain lengths.
ISSN:0021-9568
1520-5134
DOI:10.1021/acs.jced.6b00574