Regensburg 2016 – scientific programme
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MM: Fachverband Metall- und Materialphysik
MM 55: Methods in Computational Materials Modelling III: Machine learning and statistics
MM 55.4: Talk
Thursday, March 10, 2016, 12:30–12:45, H53
Examination of electrolyte diffusion in dye-sensitized solar cells using virtual random walk — •Tomasz Blachowicz1, Andrea Ehrmann2, Hafed Zghidi3, and Maksym Walczak3 — 1Silesian University of Technology, Institute of Physics, Gliwice, Poland — 2Bielefeld University of Applied Sciences, Faculty of Engineering Sciences and Mathematics, Bielefeld (Germany) — 3Silesian University of Technology, Faculty of Automatic Control, Electronics and Computer Science, Gliwice (Poland)
Statistical analysis of optically captured microphotographs revealing different physical phenomena is an important research tool, supporting other standard experimental and theoretical research efforts. The statistical analysis relies on performing a virtual random walk on positions where the matter exists. Thus, this is especially suited for spatial and structural analysis of different materials.
The method enables recognition, in a quantitative way, and characterization of difference spatial elements, their sizes and frequencies of occurence. A parameter describing these properties is so called Hurst exponent.
In the current work, results from analysis of different scenarios from liquid/solid state interaction at interfaces, e.g. dyestuff on TiO2 layers on glass or textile, are examined. Image sequences obtained enable identification of uniformity levels for the liquid phase spread on a solid substrate.