Wetting properties of LIPSS structured silicon surfaces

Olga Varlamova (), Juergen Reif, Michael Stolz, Rodica Borcia, Ion Dan Borcia and Michael Bestehorn
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Olga Varlamova: Experimental Physics and Functional Materials, Brandenburg University of Technology Cottbus-Senftenberg
Juergen Reif: Experimental Physics and Functional Materials, Brandenburg University of Technology Cottbus-Senftenberg
Michael Stolz: Fraunhofer Institute for Photonic Microsystems, Branch Integrated Silicon Systems
Rodica Borcia: Statistical Physics and Nonlinear Dynamics, Brandenburg University of Technology Cottbus-Senftenberg
Ion Dan Borcia: Computational Physics, Brandenburg University of Technology Cottbus-Senftenberg
Michael Bestehorn: Statistical Physics and Nonlinear Dynamics, Brandenburg University of Technology Cottbus-Senftenberg

The European Physical Journal B: Condensed Matter and Complex Systems, 2019, vol. 92, issue 5, 1-8

Abstract: Abstract The controlled dynamics of liquid drops via generation of specific wetting states on a solid surface is of great interests both in the fundamental and applied sciences. Considering that the wettability is strongly dependent on the surface topography and surface roughness, we investigate – through experiments and theory – the effect of laser-induced periodic surface structures (LIPSS) generated on silicon (100) targets as a control parameter of wetting properties. To obtain structured silicon surfaces with different morphological features, we patterned the surface by irradiation with femtosecond pulses from an amplified Ti:Sapphire laser system (790 nm/100 fs/1 kHz) at a fluence in the range of 0.4–1.2 J/cm2 on a spot with a diameter about of 100 μm. Variation of the applied irradiation dose results in surface modifications with the roughness about of a few tens of nanometers are ranging from regular LIPSS patterns with the lateral period of about 500–700 nm to complex agglomerations of 3-D microstructures with several-μm feature size. The theoretical study on the correlation of wetting properties with the surface topography has been performed within a phase field model. We found an excellent agreement of numerical results with experiments. Graphical abstract

Date: 2019
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DOI: 10.1140/epjb/e2019-90672-2

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