2014
DOI: 10.1016/j.apsusc.2013.10.114
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Multifractal characterization of single wall carbon nanotube thin films surface upon exposure to optical parametric oscillator laser irradiation

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Cited by 46 publications
(22 citation statements)
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“…17,18 Our purpose in this work is to synthesis of different thicknesses of Fe on Cu NPs by Direct-current (DC) magnetron sputtering statistical parameters, and to characterize the 3-D surface morphology using AFM and the statistical parameters, in accordance with ISO 25178-2: 2012. 20 …”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…17,18 Our purpose in this work is to synthesis of different thicknesses of Fe on Cu NPs by Direct-current (DC) magnetron sputtering statistical parameters, and to characterize the 3-D surface morphology using AFM and the statistical parameters, in accordance with ISO 25178-2: 2012. 20 …”
Section: Introductionmentioning
confidence: 99%
“…8 On the other hand, in literature, there are different studies about characterization of microroughness parameters of thin films prepared by DC magnetron sputtering. [9][10][11][12] Many theoretical and experimental studies highlighted that the rough surface morphology of thin films can be concisely characterized by fractal 9,13,14 and multifractal [15][16][17][18][19] geometry, which may be directly applied for data obtained from the AFM.…”
Section: Introductionmentioning
confidence: 99%
“…[1][2][3][4] The three dimensional (3-D) surface morphology plays a major role in nanomechanics, tribology, and thermodynamics of thin films and their interfaces, involved at the nanometer-scale resolution and can yield important insights into the applied mathematics, theoretical methods and numerical tools for multi-scale modelling. [5][6][7][8][9] The sophisticated surface design and engineering of hierarchical hybrid nanostructures lead to many interdisciplinary researches.…”
Section: Introductionmentioning
confidence: 99%
“…It indicates how much the fractal surface fills the 3D volume and represents the quantitative measure of 3D microstructure complexity [29,30] . Generally, the fractal dimension D of a surface is a non-integer value within the range 2 ≤ D ≤ 3, where D = 2 (for ideally flat surfaces) and D = 3 (for surfaces with a rough that occupy all available volume) [31][32][33] . An increasing value of D indicates higher level of fractality, a more irregular shape of the surface roughness [19,34] .…”
Section: Introductionmentioning
confidence: 99%