Scaling properties and height distributions of persisting roughness in the discrete growth models in the presence of the angle of repose
Chuan Wang and
Hui Xia
Chaos, Solitons & Fractals, 2024, vol. 181, issue C
Abstract:
Inspired by the modified Langevin-type growth equations for persisting roughness when deposition stops, we perform extensive simulations on the modified versions of typical discrete growth models including random deposition with surface relaxation (RDSR) and the restricted solid-on-solid (RSOS). Our results show that, when the angle of repose γ is introduced, the stable surface always presents persisting roughness in the process of surface flattening after deposition ceases, and sand dune-like morphology could gradually appear with different angles of repose. The height distributions and nontrivial scaling properties of these modified growth systems are investigated to provide deeper insights into the surface flattening dynamics. The comparisons between these two modified discrete models and the corresponding continuum growth equations belonging to the same universality classes are also discussed in the presence of the angle of repose.
Keywords: Surface growth; Discrete growth model; Dynamic scaling behavior; Persisting roughness (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077924001498
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:181:y:2024:i:c:s0960077924001498
DOI: 10.1016/j.chaos.2024.114598
Access Statistics for this article
Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros
More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().