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Analytic scaling function for island-size distributions.

V G Dubrovskii1,2,3, N V Sibirev1,4

  • 1St. Petersburg Academic University, Khlopina 8/3, 194021 St. Petersburg, Russia.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
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Summary
This summary is machine-generated.

We derived an explicit solution for island-size distributions in irreversible growth. This solution reveals a universal scaling behavior dependent on capture rate linearity, applicable to diverse distribution shapes.

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Area of Science:

  • Surface Science
  • Materials Science
  • Chemical Physics

Background:

  • Island-size distributions are crucial for understanding thin-film growth dynamics.
  • Rate equations model nucleation and growth processes, but explicit solutions are often limited.
  • Simplified capture rates are frequently used to approximate complex surface interactions.

Purpose of the Study:

  • To derive an explicit solution for island-size distribution under irreversible growth conditions.
  • To investigate the scaling properties of the solution in the continuum limit.
  • To establish the relationship between scaling behavior and the linearity of capture rates.

Main Methods:

  • Solving rate equations for irreversible growth with simplified capture rates of the form σ(s)(Θ)∝Θ(p)(a+s-1).
  • Analyzing the solution's behavior in the continuum limit to identify scaling forms.
  • Developing an analytic scaling function dependent on parameters 'a' and 'p'.

Main Results:

  • An explicit solution for island-size distribution was obtained.
  • The solution exhibits a universal scaling form in the continuum limit.
  • The analytic scaling function accurately describes both monomodal and decreasing distribution shapes.
  • Scaling features are directly linked to the size linearity of capture rates.

Conclusions:

  • The study provides a rigorous analytic solution for island-size distributions.
  • The findings highlight the fundamental role of capture rate linearity in determining scaling behavior.
  • This work enhances theoretical understanding of scaling phenomena in island-size distributions.