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Published on: July 30, 2019
Double-exponential scaling function for island-size distributions.
1St. Petersburg State University, Faculty of Physics, Universitetskaya Embankment 13B, 199034 St. Petersburg, Russia.
This study analyzes island-size distributions in submonolayer deposition, revealing scaling function singularities for certain capture number dependencies. A new analytic scaling function is proposed to resolve these issues.
Area of Science:
- Surface science
- Materials science
- Physical chemistry
Background:
- Homogeneous nucleation and growth are fundamental processes in thin-film formation.
- Island-size distributions are crucial for understanding surface morphology and properties.
- Rate equations and capture numbers are key theoretical tools for modeling these phenomena.
Purpose of the Study:
- To investigate the impact of capture number (σ(s)) functional forms on island-size distributions during submonolayer deposition.
- To analyze the validity and limitations of existing scaling functions (Family-Vicsek) under different growth conditions.
- To develop a new, singularity-free analytic scaling function for improved theoretical modeling.
Main Methods:
- Solving the continuum rate equation for island nucleation and growth.
- Analyzing power-law size dependencies of capture numbers (σ(s)∼s^{α}).
- Revisiting the Bartelt-Evans theory and proposing a novel analytic form for scaled capture numbers C(x).
Main Results:
- Existing Family-Vicsek scaling functions exhibit singularities for 0≤α<1/2, which worsen with increasing α.
- No normalizable scaling solutions exist for 1/2<α<1.
- An analytic scaling function with a double-exponential shape was derived, resolving singularities and satisfying sum rules.
Conclusions:
- The singularities in scaling functions arise from zero growth rates at maximum island sizes.
- The proposed analytic scaling function provides a more robust theoretical description of island-size distributions.
- The new function closely matches results from kinetic Monte Carlo simulations, validating its accuracy.
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