Statistics of adatom diffusion in a model of thin film growth

Luis, Edwin E. Mozo; Carrasco, I. S. S.; Assis, Thiago A. de; Reis, F. D. A. Aarão

doi:10.1103/physreve.102.012805

Cited by 16 publications

(11 citation statements)

References 47 publications

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“…Here, we assume that the atom is mobile during the time interval in which an atomic layer of the crystal is formed: τ m on microparticle facets, τ n on nanotree trunks. This kinetic hypothesis is frequently used in the interpretation of results of deposition models. , …”

Section: Discussionmentioning

confidence: 99%

Effects of Adsorbate Diffusion and Edges in a Transition from Particle to Dendritic Morphology during Silver Electrodeposition

Dokhan

Caprio

Taleb

et al. 2022

ACS Appl. Mater. Interfaces

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During silver electrodeposition on Au nanoparticle (NP)-covered highly oriented pyrolitic graphite, a transition from an initial growth of microsized particles to the growth of dendrites with pine tree shape (nanotrees) is observed, which is an advancement for material growth with hierarchical surface roughness. Using kinetic Monte Carlo simulations of an electrodeposition model, those results are explained by the interplay of diffusive cation flux in the electrolyte and relaxation of adsorbed atoms by diffusion on quenched crystal surfaces. First, simulations on NP-patterned substrates show the initial growth of faceted silver particles, followed by the growth of nanotrees with shapes similar to the experiments. Next, simulations on electrodes with large prebuilt particles explain the preferential nanotree growth at corners and edges as a tip effect. Simulations on wide flat electrodes relate the nanotree width with two model parameters describing surface diffusion of silver atoms: maximal number of random hops (G) and probability of hop per neighbor (P). Finally, simulations with small electrode seeds confirm the transition from initially compact particles to the nucleation of nanotrees and provide estimates of the transition sizes as a function of those parameters. The simulated compact and dendritic deposits show dominant (111) surface orientation, as observed in experiments. Extrapolations of simulation results to match microparticle and nanotree sizes lead to G = 4 × 1011 and P = 0.03, suggesting to interpret those sizes as diffusion lengths on the growing surfaces and giving diffusion coefficients 2 to 3 × 10–13 m2/s for deposited silver atoms. These results may motivate studies to relate diffusion coefficients with atomic-scale interactions.

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Section: Discussionmentioning

confidence: 99%

Effects of Adsorbate Diffusion and Edges in a Transition from Particle to Dendritic Morphology during Silver Electrodeposition

Dokhan

Caprio

Taleb

et al. 2022

ACS Appl. Mater. Interfaces

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“…near one lattice constant), the memory of the initial islands is already lost and subsequent growth occurs as in initially flat substrates. The roughening is that of the CV model without ES barriers [53,54] and, for R A 10 6 , the growth is almost layer by layer in experimentally reasonable film thicknesses [55]. For instance, in Fig.…”

Section: Film Formation Without Es Barriermentioning

confidence: 77%

Roughness and Correlations in the Transition from Island to Film Growth: Simulations and Application to CdTe Deposition

To,

Almeida,

Ferreira

et al. 2021

Preprint

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Using kinetic Monte Carlo simulations, we develop a framework to relate morphological properties and microscopic dynamics during island growth, coalescence, and initial formation of continuous heteroepitaxial films. The average island width is controlled by adatom mobility on the substrate. Subsequent evolution strongly depends on the Ehrlich-Schwöebel energy barrier E ES of the deposited material. As E ES decreases, islands becomes taller and their coalescence is delayed. For small islands and large E ES , the global roughness increases as W ∼ thickness 1/2 and the local roughness increases

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“…3, the roughness of the CV model is plotted as a function of t/t CV , providing a good data collapse with the scaled data of the LM model. The numbers of executed hops per adatom in the CV model were also recently studied: 44 at low temperatures, in which attachment of adatoms to islands is effectively irreversible, Q(N T ) has a stretched exponential decay; at high temperatures, when detachment of adatoms from one or more lateral NNs is likely, Q(N T ) turns to a simple exponential decay. These forms differ from those of the LM model for small and large GP; however, the qualitative trend is similar, namely, a change from a slower to a faster decay.…”

Section: Morphological Features and Roughness Scalingmentioning

confidence: 99%

An electrodeposition model with surface relaxation predicts temperature and current effects in compact and dendritic film morphologies

Carrasco

Alves

Reis

2022

Phys. Chem. Chem. Phys.

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Statistics of adatom diffusion in a model of thin film growth

Cited by 16 publications

References 47 publications

Effects of Adsorbate Diffusion and Edges in a Transition from Particle to Dendritic Morphology during Silver Electrodeposition

Effects of Adsorbate Diffusion and Edges in a Transition from Particle to Dendritic Morphology during Silver Electrodeposition

Roughness and Correlations in the Transition from Island to Film Growth: Simulations and Application to CdTe Deposition

An electrodeposition model with surface relaxation predicts temperature and current effects in compact and dendritic film morphologies

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