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Published on: April 22, 2013
Coarsening effect on island-size scaling: the model case InAs/GaAs(001)
M Fanfoni1, F Arciprete, C Tirabassi
1Dipartimento di Fisica, Università di Roma Tor Vergata, Via della Ricerca Scientifica 1, 00133 Roma, Italy.
Island size and capture zone distributions overlap only when coarsening is negligible. This study compares experimental and numerical results for nucleation processes with and without coarsening, crucial for materials science.
Area of Science:
- Materials Science
- Surface Science
- Nanotechnology
Background:
- Island size and capture zone distributions are key parameters in nucleation and growth processes.
- Understanding these distributions is vital for controlling thin film morphology and properties.
- Coarsening significantly impacts these distributions, but its precise effect requires detailed investigation.
Purpose of the Study:
- To comparatively analyze island size and capture zone distributions.
- To investigate the influence of coarsening on these distributions during nucleation.
- To validate numerical simulations against experimental observations.
Main Methods:
- Experimental growth of Indium Arsenide (InAs) islands on Gallium Arsenide (GaAs(001)) substrates.
- Manipulation of coarsening by varying substrate temperature during experiments.
- Two-dimensional kinetic Monte Carlo simulations considering single-species diffusing adatoms.
- Modification of binding energy between adatoms and islands in simulations to alter coarsening.
Main Results:
- Island size and capture zone distributions were found to overlap exclusively when coarsening effects were absent or negligible.
- Experimental results demonstrated the impact of temperature on the coarsening process.
- Simulations confirmed that altering adatom binding energy effectively controlled coarsening.
Conclusions:
- Coarsening is a critical factor that differentiates island size and capture zone distributions.
- The overlap of these distributions serves as an indicator for the absence of coarsening.
- The study provides a framework for understanding and predicting thin film growth dynamics.
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