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Computer simulations reveal how supercooled droplets form and aggregate. Adding long-range repulsion prevents aggregation, preserving distinct droplet behaviors and enabling study of their dynamics.

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Area of Science:

  • Condensed matter physics
  • Computational physics

Background:

  • Supercooled systems form isolated droplets that can aggregate over time.
  • Understanding the kinetics of droplet formation and aggregation is crucial.

Purpose of the Study:

  • Analyze the large time window of droplet isolation in supercooled systems.
  • Investigate how computer simulations can tackle these long timescales.
  • Examine the kinetic behavior and aggregation dynamics of low-density systems.

Main Methods:

  • Employed single-particle and virtual move Monte Carlo simulations.
  • Studied systems of short-range attractive spheres undercooled to the spinodal-glass line intersection.
  • Analyzed two distinct systems to observe kinetic behavior.

Main Results:

  • Observed universal linear growth regimes in low-density systems under single-particle Monte Carlo.
  • Demonstrated suppression of linear regimes due to collective motion and droplet aggregation.
  • Showed that adding long-range repulsion to short-range attraction prevents aggregation and recovers linear regimes.
  • Confirmed that simulation parameters like maximum Monte Carlo displacement affect trajectories but not final arrested states.

Conclusions:

  • Computer simulations provide insights into droplet dynamics in supercooled systems.
  • The virtual move algorithm's cluster generation is influenced by local force fields.
  • Controlling inter-particle interactions (e.g., adding repulsion) can prevent aggregation and preserve droplet individuality.