Assessing the Quality of Molecular Simulations for Vapor–Liquid Equilibria: An Analysis of the TraPPE Database

Eggimann, Becky L.; Sun, Yangzesheng; DeJaco, Robert F.; Singh, Ramanish; Ahsan, Muhammad; Josephson, Tyler R.; Siepmann, J. Ilja

doi:10.1021/acs.jced.9b00756

Assessing the Quality of Molecular Simulations for Vapor–Liquid Equilibria: An Analysis of the TraPPE Database

Journal Article · Thu Oct 03 00:00:00 EDT 2019 · Journal of Chemical and Engineering Data

DOI:https://doi.org/10.1021/acs.jced.9b00756· OSTI ID:1801862

^[1]; Sun, Yangzesheng ^[2]; ^[2]; Singh, Ramanish ^[2]; Ahsan, Muhammad ^[2]; ^[2]; ^[2]

Wheaton College, IL (United States); OSTI
Univ. of Minnesota, Minneapolis, MN (United States)

As molecular modeling and simulation techniques become increasingly important sources of thermophysical property and phase equilibrium data, the ability to assess the robustness of that data becomes more critical. Recently, the use of the compressibility factor (Z) has been suggested as a metric for testing the quality of simulation data for vapor–liquid equilibria (VLE). Int his paper, we analyze predicted VLE data from the transferable potentials for phase equilibria (TraPPE) database and show that, apart from data entry or typographical errors, Z will always be well-behaved in Gibbs ensemble Monte Carlo (GEMC) simulations even when the simulations are not sufficiently equilibrated. However, this is not true for grand canonical Monte Carlo simulations. When the pressure is calculated from the internal forces, then pressure and density are strongly correlated for the vapor phase and, for GEMC simulations, it is recommended to treat Z as an instantaneous mechanical property. From analysis of the TraPPE VLE data, we propose a complementary metric based on the predicted vapor pressures at three neighboring temperatures and their deviation from a local Clausius–Clapeyron fit.

View Accepted Manuscript (DOE)

Research Organization:: Univ. of Minnesota, Minneapolis, MN (United States)

Sponsoring Organization:: National Science Foundation (NSF); USDOE Office of Science (SC), Basic Energy Sciences (BES). Chemical Sciences, Geosciences & Biosciences Division

Grant/Contract Number:: SC0008688

OSTI ID:: 1801862

Journal Information:: Journal of Chemical and Engineering Data, Journal Name: Journal of Chemical and Engineering Data Journal Issue: 3 Vol. 65; ISSN 0021-9568

Publisher:: American Chemical SocietyCopyright Statement

Country of Publication:: United States

Language:: English

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Assessing the Quality of Molecular Simulations for Vapor–Liquid Equilibria: An Analysis of the TraPPE Database

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