Fractal characterization and wettability of ion treated silicon surfaces

Yadav, R. P.; Kumar, Tanuj; Baranwal, Vikas; Vandana, .; Kumar, Manvendra; Priya, Pradip Kumar; Pandey, S. N.; Mittal, Ashok

doi:10.1063/1.4975115

Cited by 55 publications

(37 citation statements)

References 48 publications

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“…The increase of peak width at the higher energies indicates the lower ordering of dots . Yadav et al have reported that the fractal parameters of the samples change with the changes in surface morphology of the ion irradiated silicon surface . Therefore, in the present study, it can be concluded that the changes in fractal parameters is due to the surface morphological changes in the ion irradiated surface.…”

Section: Resultssupporting

confidence: 52%

“…The autocorrelation function is used to characterize the correlation properties of the self‐affine fractal surface defined by

A ((), r) = \frac{1}{P} \int z ((), p) z ((), p + r) d^{2} p

where p is a two‐dimensional vector which symbolizes the 90° position of a point on the substrate, z(p) is the surface height at this point, and P is the area of the substrate. The autocorrelation function in one dimension is estimated from the height profiles z ( i , j )along the direction of first scan, given by

A ((), r = italicml) = \frac{1}{N ((), N - m) w^{2}} \sum_{j = 1}^{N} \sum_{i = 1}^{N - m} z ((), i + m, j) z ((), i, j) .

…”

Section: Methodsmentioning

confidence: 99%

“…It has been recently realized that the concepts of fractal geometry may be used to describe the surface morphology, correlation inside the surface microstructures, and complexity, and greatly simplify the descriptive properties of the surface . Fractal analysis is a powerful analytical tool which can extract information of the surface that can not be extracted from traditional analysis . The most important characteristics of fractal is its dimension which describes how some property changes with scale at which it is measured .…”

Section: Introductionmentioning

confidence: 99%

“…However, fractal dimension describes how local roughness changes at short scale. Therefore, the determination of fractal dimension of an object gives an information to identify the process by which it is created …”

Section: Introductionmentioning

confidence: 99%

“…16 Fractal analysis is a powerful analytical tool which can extract information of the surface that can not be extracted from traditional analysis. 17 The most important characteristics of fractal is its dimension which describes how some property changes with scale at which it is measured. 18 Interface width and average surface roughness measure the global variation of roughness and fail to explain the local variation of roughness.…”

Section: Introductionmentioning

confidence: 99%

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Fractal characterizations of energetic Si ions irradiated amorphized‐Si surfaces

Maity

Ojha

Sulania

et al. 2019

Surface & Interface Analysis

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The fractal characterizations of amorphized‐silicon (a‐Si) surfaces under low‐energy ion irradiations are presented. The crystalline Si surfaces have been irradiated with Si ions having different energy of 35, 50, 75, and 100 keV at a fixed fluence of 2 × 1015 ions‐cm−2. The samples have been characterized by means of using Raman spectroscopy, Channeling‐Rutherford backscattering spectrometry (C‐RBS), and atomic force microscopy (AFM) techniques. The ion irradiation leads to the amorphization of Si near surface and subsurface region, as confirmed by Raman and C‐RBS measurement. The AFM analysis shows that the ion irradiation also leads to the formation of nanodots on the surface and size of the dots increases with increasing of the ion energy. The fractal analysis has been performed using AFM images in order to get the significant evidence about nanodot formations and the correlation inside the surface microstructures. The kinetic roughening and surface smoothening, due to dissipation of kinetic energy of ions through collision cascades of the surface atoms, lead to the formation of dot‐like structures.

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Section: Resultssupporting

confidence: 52%

“…The autocorrelation function is used to characterize the correlation properties of the self‐affine fractal surface defined by

A ((), r) = \frac{1}{P} \int z ((), p) z ((), p + r) d^{2} p

A ((), r = italicml) = \frac{1}{N ((), N - m) w^{2}} \sum_{j = 1}^{N} \sum_{i = 1}^{N - m} z ((), i + m, j) z ((), i, j) .

…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Fractal characterizations of energetic Si ions irradiated amorphized‐Si surfaces

Maity

Ojha

Sulania

et al. 2019

Surface & Interface Analysis

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Stereometric characterization of kefir microbial films associated with Maytenus rigida extract

Matos

Pinto

Ramos

et al. 2020

Microscopy Res & Technique

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The aim of this study was to report the first discussion of statistical parameters and possible applications related to the surface of kefir biofilms prepared with Maytenus rigida Mart. extract through micromorphology, using atomic force microscopy (AFM). Four different samples were produced. The reference contained demerara sugar with a concentration of 40 g/L and the others had added extract whose concentrations were 0.25, 0.50, and 0.75 g/L, respectively. AFM was used to image the surface in tapping mode, on square areas of 30 μm × 30 μm. Images were studied by the MountainsMap premium commercial software. The main parameter of the surface, roughness, grew with the increase of the extract concentration up to 0.50 g/L. In addition, asymmetry and kurtosis showed that the biofilm with the best peak distribution was the one with 0.25 g/L of plant extract. The other parameters followed the main results for the surface and were observed for the depth and volume parameters. The power spectrum density spectrum confirmed the reliability of the results for the sample with 0.25 g/L. Therefore, the sample with 0.25 g/L of plant extract produced the best balance in relation to the surface properties. These results showed that the biofilm morphology and microtexture were affected by the incorporation of the plant extract and can be useful to define possible applications.

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Nanoscale surface dynamics of spatial patterns of polymeric bilayered particles loaded with essential oil

Matos

Costa

Yasumura

et al. 2022

Microscopy Res & Technique

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Gelatin/PCL bilayered particles loaded with Piper nigrum essential oil was synthesized aiming to access their morphological and surface dynamic patterns. Atomic force microscopy (AFM) was applied to investigate the 3D morphology and multifractal aspects of the particles surface. The AFM maps revealed spherical surfaces and well dispersed particles, besides a rougher surface on the loaded system. Minkowski functionals showed that shape of the rough peaks was similar in the unloaded and loaded systems; however, the presence of deep valleys on the loaded particles revealed their rougher pattern. Multifractal analysis revealed that unloaded and loaded particles presented multifractal behavior with different surface dynamics. The loaded surface presented a greater width of the multifractal spectrum and smaller difference of fractal dimensions, confirming their more vertically growing. These results can be useful in the development of novel polymeric‐based particles loaded with essential oil. Their unique surface dynamics can provide enhanced physical properties and performance in emerging biotechnological applications.

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Fractal characterization and wettability of ion treated silicon surfaces

Cited by 55 publications

References 48 publications

Fractal characterizations of energetic Si ions irradiated amorphized‐Si surfaces

Fractal characterizations of energetic Si ions irradiated amorphized‐Si surfaces

Stereometric characterization of kefir microbial films associated with Maytenus rigida extract

Nanoscale surface dynamics of spatial patterns of polymeric bilayered particles loaded with essential oil

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