Random deposition with spatially correlated noise (RD-SCN) model: Multi-affine analysis. (February 2021)
- Record Type:
- Journal Article
- Title:
- Random deposition with spatially correlated noise (RD-SCN) model: Multi-affine analysis. (February 2021)
- Main Title:
- Random deposition with spatially correlated noise (RD-SCN) model: Multi-affine analysis
- Authors:
- Hosseinabadi, S.
Masoudi, A.A. - Abstract:
- Highlights: Random deposition model with long-range spatially correlated noise is investigated. In spite of other correlated growth equations, beta is an unchangeable value. In a critical correlation exponent, multi-affinity is occurred. Enhancement of correlation exponent increases the strength of multi-affinity. Abstract: We study the random deposition model with long-range spatially correlated noise. In this model the particles deposit in a power-law distance of each other as Δ i, j = i n t [ u − 1 2 ρ ], where u is chosen randomly over the range (0, 1) and ρ is the correlation strength. The results show that the enhancement of ρ exponent is accompanied by the appearance of irregularities and jumps in the height fluctuations. In spite of scaling exponents dependent to correlation strength in other linear and non-linear growth equations, enhancement of the correlation strength, does not change the growth exponent β = 1 / 2 . As the short-range correlations in growth equations result in roughness saturation, the results show that the long-range correlations in this growth model does not saturate the interface width for any system size. The fractal analysis of the height fluctuations performed via the multi-fractal detrended fluctuation analysis (MF-DFA) revealed that the synthetic rough surfaces with ρ = 0 are mono-fractal with the Hurst exponent H = 0.5 . It verifies the un-correlated fluctuations in the simple random deposition model. For the correlation strengths in theHighlights: Random deposition model with long-range spatially correlated noise is investigated. In spite of other correlated growth equations, beta is an unchangeable value. In a critical correlation exponent, multi-affinity is occurred. Enhancement of correlation exponent increases the strength of multi-affinity. Abstract: We study the random deposition model with long-range spatially correlated noise. In this model the particles deposit in a power-law distance of each other as Δ i, j = i n t [ u − 1 2 ρ ], where u is chosen randomly over the range (0, 1) and ρ is the correlation strength. The results show that the enhancement of ρ exponent is accompanied by the appearance of irregularities and jumps in the height fluctuations. In spite of scaling exponents dependent to correlation strength in other linear and non-linear growth equations, enhancement of the correlation strength, does not change the growth exponent β = 1 / 2 . As the short-range correlations in growth equations result in roughness saturation, the results show that the long-range correlations in this growth model does not saturate the interface width for any system size. The fractal analysis of the height fluctuations performed via the multi-fractal detrended fluctuation analysis (MF-DFA) revealed that the synthetic rough surfaces with ρ = 0 are mono-fractal with the Hurst exponent H = 0.5 . It verifies the un-correlated fluctuations in the simple random deposition model. For the correlation strengths in the range [0, 1], the Hurst exponent increases in the range [ 1 2, 1 ) with a mono-fractal behavior. In the critical exponent of ρ c, multi-affinity is occurred. For ρ > ρ c = 1 the mono-fractal feature of the height fluctuations tends to the multi-affine one and the strength of multi-affinity increases by enhancement of ρ exponent. The results show that the observed multi-affinity is because of deviation from the normal distribution and appearance of correlations among small and large fluctuations. … (more)
- Is Part Of:
- Chaos, solitons and fractals. Volume 143(2021)
- Journal:
- Chaos, solitons and fractals
- Issue:
- Volume 143(2021)
- Issue Display:
- Volume 143, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 143
- Issue:
- 2021
- Issue Sort Value:
- 2021-0143-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-02
- Subjects:
- Random deposition model -- Spatially correlated noise -- Multi-affine analysis
Chaotic behavior in systems -- Periodicals
Solitons -- Periodicals
Fractals -- Periodicals
Chaotic behavior in systems
Fractals
Solitons
Periodicals
003.7 - Journal URLs:
- http://www.elsevier.com/journals ↗
http://www.sciencedirect.com/science/journal/09600779 ↗ - DOI:
- 10.1016/j.chaos.2020.110596 ↗
- Languages:
- English
- ISSNs:
- 0960-0779
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3129.716000
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