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Random sequential adsorption of polydisperse mixtures on discrete substrates.
Lj Budinski-Petković1, S B Vrhovac, I Loncarević
1Faculty of Engineering, Trg D. Obradovića 6, 21000 Novi Sad, Serbia.
Summary
This study explores random sequential adsorption of diverse shapes on lattices. Late-stage deposition kinetics follow an exponential law, influenced by shape symmetry and mixture composition.
Area of Science:
- Surface Science
- Materials Science
- Statistical Physics
Background:
- Random sequential adsorption (RSA) is a fundamental process in surface science.
- Understanding RSA kinetics is crucial for materials design and thin-film fabrication.
- Polydisperse mixtures and extended objects introduce complexity to standard RSA models.
Purpose of the Study:
- To investigate the random sequential adsorption (RSA) of polydisperse mixtures of extended objects on 2D lattices.
- To determine how mixture composition and object length affect deposition kinetics.
- To analyze the influence of object shape symmetry on adsorption behavior.
Main Methods:
- Numerical simulations of RSA on triangular and square lattices.
- Modeling depositing objects as self-avoiding random walks (SAW) of varying lengths.
- Analysis of deposition kinetics, jamming coverage (θjam), and relaxation time (σ).
Main Results:
- Late-stage deposition kinetics for both the mixture and individual components follow an exponential law: θ(t) ≈ θjam - Aexp(-t/σ).
- Jamming coverage and relaxation time are dependent on mixture composition and object length.
- The symmetry of the depositing objects significantly impacts the adsorption kinetics of each component.
Conclusions:
- The exponential law accurately describes the late-stage kinetics of polydisperse RSA, even for individual components.
- Mixture composition and object characteristics are key factors controlling adsorption efficiency and saturation.
- Object symmetry is a critical parameter influencing the adsorption dynamics in complex mixtures.
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