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Phase-field models for particle-stabilized emulsions.

Elisabeth C Eij1,2, Joost de Graaf2, Martin F Haase1

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A new phase-field model enables efficient, large-scale simulations of particle-stabilized emulsions. This computational approach reveals how nanoparticle concentration influences the morphology of emulsion gels, reducing domain size at higher concentrations.

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Area of Science:

  • Soft matter science
  • Colloid and interface science
  • Computational physics

Background:

  • Particle-stabilized emulsions are crucial in soft matter.
  • Current simulations are limited by spatiotemporal scales.
  • Individual particle resolution is computationally expensive.

Purpose of the Study:

  • Introduce a novel phase-field framework for simulating emulsions.
  • Enable computationally efficient, large-scale dynamic studies.
  • Investigate nanoparticle influence on emulsion morphology.

Main Methods:

  • Developed a phase-field theory framework.
  • Simulated large-scale dynamics by evolving continuous fields.
  • Modeled bicontinuous interfacially jammed emulsion gel (bijel) formation via solvent-transfer-induced phase separation (STrIPS).

Main Results:

  • The phase-field model allows efficient simulation of large-scale emulsion dynamics.
  • Higher nanoparticle concentrations reduce the average domain size in STrIPS bijels.
  • Successfully characterized the influence of nanoparticles on emulsion morphology.

Conclusions:

  • The phase-field model offers a computationally efficient alternative for emulsion simulation.
  • Provides insights into nanoparticle-morphology relationships in particle-stabilized emulsions.
  • Represents a promising tool for investigating complex emulsion systems.