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Binary Gaussian core model: fluid-fluid phase separation and interfacial properties.

A J Archer1, R Evans

  • 1H H Wills Physics Laboratory, University of Bristol, Bristol BS8 1TL, United Kingdom.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|November 3, 2001
PubMed
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This study explores phase diagrams for binary mixtures of repulsive Gaussian core particles. Oscillations in density profiles near interfaces were observed, linked to particle correlations and phase behavior.

Area of Science:

  • Statistical Mechanics
  • Physical Chemistry
  • Soft Matter Physics

Background:

  • Understanding fluid phase behavior is crucial in statistical mechanics.
  • Binary mixtures present complex phase diagrams influenced by particle interactions and size ratios.
  • Density functional theory (DFT) provides a framework for studying interfacial phenomena.

Purpose of the Study:

  • To calculate density-concentration phase diagrams for binary mixtures of repulsive Gaussian core particles.
  • To investigate interfacial properties, including surface tension and density profiles, using DFT.
  • To analyze the occurrence and characteristics of oscillations in interfacial density profiles.

Main Methods:

  • Utilized a mean-field equation of state to determine phase diagrams.

Related Experiment Videos

  • Employed a simple mean-field density functional theory (DFT) approach, equivalent to the random phase approximation.
  • Calculated surface tension and density profiles for the interface between demixed fluid phases.
  • Main Results:

    • Density-concentration phase diagrams were computed for various particle size ratios.
    • Oscillations in interfacial density profiles were observed for specific coexisting states.
    • The onset and form of these oscillations were linked to bulk pairwise correlations and the Fisher-Widom line.
    • An additional crossover line was identified, affecting the nature of long-range correlation decay.

    Conclusions:

    • The study provides insights into the phase behavior and interfacial structure of binary Gaussian core particle mixtures.
    • DFT predictions for these systems are expected to hold in more advanced theoretical treatments.
    • The findings highlight the importance of correlation functions in understanding interfacial phenomena.