Phase Equilibria

Phase equilibria play a central role in most chemical processes ranging from fractional distillation of organic mixtures, extraction with selective solvents, to crystallization of specfic forms of drug molecules. In fact, such separation processes are often dominating productions costs for many chemicals and pharmaceuticals. The prediction of phase equilibria of multicomponent mixtures is one of the grand challenges for molecular simulation requiring both accurate force fields and efficient sampling algorithms. The ternary liquid-liquid-vapor phase diagram below was predicted from a simulation of a three-component mixture that may find potential use for biphasic catalytic systems. At elevated pressures, carbon dioxide swells the two liquid phases and these expanded phases become more miscible. Above the upper critical solution pressure, the catalytic reaction can progress rapidly in the single liquid phase. Thereafter, the pressure is lowered and phase separation occurs. Thus, the separation of the fluorous catalyst (soluble in the fluorocarbon phase) from the organic products (soluble in the hydrocarbon phase) is greatly facilitated.

In the area of phase equilibria, the Siepmann group's research interests are directed toward tunable solvents, adsorbed films, and polymorphism and solvate formation of pharmaceutical solids. There is great need to develop environmentally benign and highly tunable process solvents that can replace chlorinated or fluorinated solvents. Molecularly-thin fluid films adsorbed on solid substrates play a central role for lubrication and as protective surface coating. Polymorphism, the ability of a given molecule to crystalize into different solid forms or to form crystalline solvates upon addition of stochiometric amounts of solvent, is an important problem for the pharmaceutical and food industries because certain polymorphs have desirable properties (e.g., stability, bioavailability, or dissolution characteristics) and individual polymorphic forms may be patentable. One of the continuing scandals of science, as emphasized by John Maddox (former editor of Nature), is that there is no general method for the predicition of crystal structures from molecular formulae, and that designing organic solids with specific and desired properities remains only a dream [G.R. Desiraju, Nature Materials, 1, 77-79 (2002)].

top of page


Chemistry Department Research News:

  • February 23, 2000: Molecular Modeling of Supercritical Fluid Extraction
  • September 6, 2000: Solute Partitioning Between Water and (Dry or Wet) 1-Octanol
  • July 10, 2002: Solvation of Napthalene in Supercritical Carbon Dioxide: Are Large Negative Partial Molar Volumes Related to Local Density Enhancements?
  • July 9, 2003: Temperature Dependence of Transfer Properties: Importance of Heat Capacity Effects
  • Jan 5, 2005: Simulating Green Solvents
  • February 1, 2006: Simulating Fluid Phase Equilibria of Water from First Principles

Recent Phase Equilibria Publications:

K.A. Maerzke, and J.I. Siepmann,
'Effects of an applied electric field on the vapor-liquid equilibria of water, methanol, and dimethyl ether,'
J. Phys. Chem. B, submitted for publication.

J.L. Lewin, K.A. Maerzke, N.E. Schultz, R.B. Ross, and J.I. Siepmann,
'Prediction of Hildebrand solubility parameters of acrylate and methacrylate monomers and their mixtures by molecular simulation,'
J. Appl. Polym. Sci., 115, ASAP article (2010).

D. Bhatt, and J.I. Siepmann,
'Melting points via pseudo-supercritical path Monte Carlo simulations: Carbon dioxide and benzene,'
J. Chem. Phys., submitted for publication.

K.A. Maerzke, M.J. McGrath, I-F.W. Kuo, G. Tabacchi, J.I. Siepmann, and C.J. Mundy,
'Vapor-liquid phase equilibria of water modelled by a Kim-Gordon potential,'
Chem. Phys. Lett., 479, 60-64 (2009).

X.S. Zhao, J.I. Siepmann, W. Xu, Y.-H. Kiang, A.R. Sheth, and S. Karaborni,
'Exploring the formation of multiple layer hydrates for a complex pharmaceutical compound,'
J. Phys. Chem. B, 113, 5929-5937 (2009).

top of page


Chemistry Department | Chemical Engineering and Materials Science Department | Minnesota Supercomputing Institute | Minnesota Computational Chemistry Group | University of Minnesota