(258a) Virial Coefficients and Virial Equation of State As a Stringent Method for Validation of Intermolecular Potentials of Pure Fluids and Mixtures
AIChE Annual Meeting
2024
2024 AIChE Annual Meeting
Engineering Sciences and Fundamentals
Development of Intermolecular Potential Models
Tuesday, October 29, 2024 - 8:00am to 8:20am
In this study, we investigate the accuracy of several established molecular models by computing pure and mixture gas-phase virial coefficients for 30 compounds, including common alkanes, alcohols, benzene-derivatives and small-molecule gases. In contrast to coefficients computed from a first-principles PES, which should in principle match virial coefficients from experiment directly, coefficients computed from pairwise-additive semi-empirical force fields are expected to exhibit a cancellation of errors that lead them to provide values of B2, B3, etc. that are inaccurate, but in an offsetting manner. Therefore, we consider as well comparison of the VEOS derived from the potentials to PVT property data, as well as the coefficients themselves. For several models, we calculate gas-phase pure and mixed virial coefficients up to the fourth virial coefficient over a range of temperatures from 100 K to 1000 K using Mayer-sampling Monte Carlo with application of the correction for flexibility as necessary. We have also computed temperature derivatives of these virial coefficient to enable calculation of thermal properties such as the Joule-Thomson coefficient and heat capacities. We validated our calculated virial coefficients with experimental PVT-data provided by the NIST ThermoData Engine, showing convergence of the pressure-density isotherms constructed with the VEOS truncated up to various orders. The comparison points to strengths and weaknesses of these force-field models. We expect that this work would bring more awareness to the effectiveness of the VEOS as an alternative property prediction tool to traditional molecular simulation, and its value in validating and guiding development of molecular models.