LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Transferable Potentials for Chloroethenes: Insights into Nonideal Solution Behavior of Environmental Contaminants

Photo by glenncarstenspeters from unsplash

Predicting the nonideal phase behavior of binary and multicomponent systems remains a significant challenge for particle-based simulations. Here, we develop a transferable force field for chloroethenes, common environmental contaminants, that… Click to show full abstract

Predicting the nonideal phase behavior of binary and multicomponent systems remains a significant challenge for particle-based simulations. Here, we develop a transferable force field for chloroethenes, common environmental contaminants, that can accurately model the vapor liquid phase equilibria including azeotrope formation. The new all-atom force field reproduces saturated liquid densities, saturated vapor pressures, boiling points, and critical properties within 1, 10, 1, and 1% of the experiment data, respectively. Furthermore, the vapor liquid equilibria of trichloroethylene and 1-propanol binary mixture, which forms a minimum boiling point azeotrope, is predicted with a reasonable accuracy. The microstructure of neat and binary systems is explored using pair correlation functions and spatial distribution functions. As the new force field is consistent with transferable potentials for phase equilibria (TraPPE) force field, it expands the applicability of TraPPE force field to chloroethenes.

Keywords: environmental contaminants; force field; transferable potentials; force; behavior

Journal Title: ACS Omega
Year Published: 2018

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.