Dynamical arrest transition of a bidisperse two-patchy colloidal dispersion: A dynamic Monte Carlo study

Area of Science:

• Colloid and Surface Science
• Soft Matter Physics
• Computational Materials Science

Background:

• Patchy colloidal dispersions are key glass-formers due to non-isotropic interactions.
• Simulating their dynamics near the glass transition is computationally challenging due to slow rotational and translational motion.
• Existing methods struggle with large particle systems and extended time windows required for glassy dynamics.

Purpose of the Study:

• To investigate the dynamical arrest transition in bidisperse patchy colloidal dispersions.
• To evaluate the efficacy of the dynamic-Monte Carlo (dMC) method for simulating glassy dynamics.
• To explore particle dynamics under high density and low temperature conditions.

Main Methods:

• Utilized the dynamic-Monte Carlo (dMC) simulation technique.
• Studied a bidisperse patchy colloidal system with non-isotropic interactions.
• Traversed three distinct paths in the density-temperature plane, including extreme conditions.

Main Results:

• Successfully characterized both rotational and translational dynamical arrest transitions.
• Demonstrated the dMC method's capability to extract reliable dynamical data even at the glass transition.
• Showcased the method's efficiency for complex systems and extended time scales.

Conclusions:

• The dynamic-Monte Carlo method is a promising technique for studying vitrification in anisotropic colloidal systems.
• dMC offers an efficient alternative to traditional molecular dynamics for exploring glassy dynamics in patchy colloids.
• This study provides valuable insights into the behavior of colloidal dispersions near the glass transition.