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Kinetic Monte Carlo simulation of random deposition and scaling behavior with respect to the germination length

Abstract : This work aims at analyzing the scaling behavior and develop correlations during surface growing for different germination lengths. The surface growing by random deposition is simulated using a kinetic Monte Carlo approach, by considering different germination lengths. Different surface descriptors are extracted, among them the roughness and the correlation. The former allows extracting the scaling behavior, while the latter proves the existence of correlations independent of the system size but dependent on the germination length. Moreover, as in the case of random deposition with a null germination length, the growing roughness never saturates.
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https://hal.archives-ouvertes.fr/hal-03219648
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Submitted on : Thursday, May 6, 2021 - 3:31:16 PM
Last modification on : Friday, May 28, 2021 - 12:04:03 PM

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Abdenour Saoudi, Linda Aissani, Grégoire Sorba, Francisco Chinesta. Kinetic Monte Carlo simulation of random deposition and scaling behavior with respect to the germination length. International Journal of Computational Materials Science and Engineering, World Scientific Publishing Co Pte Ltd, 2021, 09 (04), pp.2050022. ⟨10.1142/s2047684120500220⟩. ⟨hal-03219648⟩

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