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Family-Vicsek scaling in classical nucleation theory.
1St. Petersburg State University, Faculty of Physics, Universitetskaya Embankment 13B, 199034 St. Petersburg, Russia.
This study reveals that island-size distributions (ISDs) in classical nucleation theory align with Family-Vicsek scaling. This finding bridges two models, offering insights into nano-object growth kinetics and statistical properties.
Area of Science:
- Surface science
- Materials science
- Physical chemistry
Background:
- Classical nucleation theory (CNT) in open systems yields double-exponential island-size distributions (ISDs).
- Family-Vicsek scaling functions describe irreversible island growth using scaled natural size.
- A gap exists in understanding the relationship between these two theoretical frameworks.
Purpose of the Study:
- To integrate classical nucleation theory with Family-Vicsek scaling.
- To demonstrate that ISDs in CNT satisfy Family-Vicsek scaling under specific conditions.
- To explore the impact of capture coefficients on island-size distribution scaling.
Main Methods:
- Utilizing the framework of classical nucleation theory for open systems.
- Analyzing island-size distributions with power-law size dependence of attachment rates.
- Converting ISDs to scaled natural size (x=s/〈s〉) for comparison with scaling functions.
- Investigating size-linear and power-law capture coefficients (σ(s)).
Main Results:
- Island-size distributions in CNT, when scaled, satisfy the Family-Vicsek scaling hypothesis in the large time limit.
- For size-linear capture coefficients, analytic scaling functions are monomodal and approach zero at x=0.
- For power-law capture coefficients (α<1), the ISD transforms into a delta function at x=1 for large islands.
Conclusions:
- A significant relationship exists between ISDs in different variables within CNT.
- Confirms the validity of Family-Vicsek scaling within the context of classical nucleation theory.
- Provides valuable insights for modeling the growth kinetics and statistical properties of nano-object ensembles.
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