Surface Roughness and Fractal Analysis of TiO2 Thin Films by DC Sputtering

This study examines the effect of oxygen concentration and sputtering power on the surface morphology of TiO2 thin films deposited by DC reactive magnetron sputtering. Surface roughness parameters were obtained using MountainsMap® software(10.2) from SEM images, while fractal dimensions and texture descriptors were extracted via Python-based image processing. Fractal dimension was calculated using the box-counting method applied to binarized images with multiple threshold levels, and texture analysis employed Gray-Level Co-occurrence Matrix (GLCM) statistics to capture local anisotropies and spatial heterogeneity. Four samples were analyzed, previously prepared with oxygen concentrations of 50% and 75%, and sputtering powers of 500 W and 1000 W. The results have shown that films deposited at higher oxygen levels and sputtering powers exhibited increased roughness, higher fractal dimensions, and stronger GLCM contrast, indicating more complex and heterogeneous surface structures. Conversely, films produced at lower oxygen and power settings showed smoother, more isotropic surfaces with lower complexity. This integrated analysis framework links deposition parameters with morphological characteristics, enhancing the understanding of surface evolution and enabling better control of TiO2 thin film properties.

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Published
2025-08-04
DOI
https://doi.org/10.3390/engproc2025105002
Primary Topic
Surface Roughness and Optical Measurements
Type
article
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article

Surface Roughness and Fractal Analysis of TiO2 Thin Films by DC Sputtering

Telmo Eleutério, Maria Meirelles, Helena Cristina Vasconcelos
Surface Roughness and Optical Measurements
article

Surface Roughness and Fractal Analysis of TiO2 Thin Films by DC Sputtering

Telmo Eleutério, Maria Meirelles, Helena Cristina Vasconcelos
article en

Abstract

This study examines the effect of oxygen concentration and sputtering power on the surface morphology of TiO2 thin films deposited by DC reactive magnetron sputtering. Surface roughness parameters were obtained using MountainsMap® software(10.2) from SEM images, while fractal dimensions and texture descriptors were extracted via Python-based image processing. Fractal dimension was calculated using the box-counting method applied to binarized images with multiple threshold levels, and texture analysis employed Gray-Level Co-occurrence Matrix (GLCM) statistics to capture local anisotropies and spatial heterogeneity. Four samples were analyzed, previously prepared with oxygen concentrations of 50% and 75%, and sputtering powers of 500 W and 1000 W. The results have shown that films deposited at higher oxygen levels and sputtering powers exhibited increased roughness, higher fractal dimensions, and stronger GLCM contrast, indicating more complex and heterogeneous surface structures. Conversely, films produced at lower oxygen and power settings showed smoother, more isotropic surfaces with lower complexity. This integrated analysis framework links deposition parameters with morphological characteristics, enhancing the understanding of surface evolution and enabling better control of TiO2 thin film properties.

Universidade dos Açores (PT), Universidade Nova de Lisboa (PT)
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Openalex Percentile: Top 80%
Surface Roughness and Optical Measurements
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