2020
DOI: 10.3390/coatings10111077
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Modelling of Phase Structure and Surface Morphology Evolution during Compound Thin Film Deposition

Abstract: The dependences of the surface roughness and the phase structure of compound thin films on substrate temperature and flux of incoming particles are investigated by a proposed mathematical model. The model, which describes physically deposited thin compound film growth process is based on the Cahn–Hilliard equation and includes processes of phase separation, adsorption, and diffusion. In order to analyze large temperature range and assuming deposition of energetic particles, the diffusion is discriminated into … Show more

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Cited by 5 publications
(32 citation statements)
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“…≤ 1 was always satisfied at any grid cell. The previously published model [43] was used to simulate the growth of thin films. The processes of phase separation, diffusion of both thin components due to surface curvature, and adsorption were included in the model.…”
Section: Kinetic Modelmentioning
confidence: 99%
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“…≤ 1 was always satisfied at any grid cell. The previously published model [43] was used to simulate the growth of thin films. The processes of phase separation, diffusion of both thin components due to surface curvature, and adsorption were included in the model.…”
Section: Kinetic Modelmentioning
confidence: 99%
“…There have been several recent works dealing with the simulation of the growth of nanostructured thin films [35][36][37][38][39][40][41][42][43]. The influence of deposition rate and substrate temperature on the phase structure of the Cu-Mo films was examined using the approaches based on the phase-field models by Derby et al [35] and Ankit et al [36].…”
Section: Introductionmentioning
confidence: 99%
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“…These concentration modulations are classified as monomodal, maintaining a consistent microstructure morphology throughout the film. Several mesoscale models employed classical thin-film growth theory [3][4][5][6][7][8] to elucidate and understand the relevant kinetic and thermodynamics pathways [9][10][11][12][13], leading to the formation of such monomodal concentration modulation. Recent experimental results present a fourth class of concentration modulation with regions self-organizing into hierarchical microstructures [11,14,15].…”
Section: Introductionmentioning
confidence: 99%