Extended many-body potential of Hauschild and Prausnitz for pure HFD-like fluids

Mohsen Abbaspour and Nasrin Naderkhovy

Physica A: Statistical Mechanics and its Applications, 2014, vol. 413, issue C, 459-472

Abstract: We have extended the many-body potential of Hauschild and Prausnitz (1993) in terms of the non-additivity coefficient and density (at different temperatures from liquid phase to supercritical region) for pure fluids. In order to compare our many-body potential with the accurate three-body potentials in the literature, we have performed molecular dynamics simulation to obtain pressure and self-diffusion coefficient values at different temperatures and densities using the two-body HFD-like potential and different three-body potentials. Our results indicated that our extended many-body potential is superior to the three-body potential of Guzman et al. (2011) for the different fluids and is also better than the three-body potential of Wang and Sadus (2006) for some noble gases.

Keywords: Many-body potential; Molecular dynamics simulation; HFD-like fluid (search for similar items in EconPapers)
Date: 2014
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437114005858
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:413:y:2014:i:c:p:459-472

DOI: 10.1016/j.physa.2014.07.016

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().