Scale-dependent diffusion anisotropy in nanoporous silicon

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Kondrashova, D.; Lauerer, A.; Mehlhorn, D.; Jobic, H.; Feldhoff, A. et al.: Scale-dependent diffusion anisotropy in nanoporous silicon. In: Scientific Reports 7 (2017), No. 40207. DOI: https://doi.org/10.1038/srep40207

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/1954

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Sum total of downloads: 181




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Abstract: 
Nanoporous silicon produced by electrochemical etching of highly B-doped p-type silicon wafers can be prepared with tubular pores imbedded in a silicon matrix. Such materials have found many technological applications and provide a useful model system for studying phase transitions under confinement. This paper reports a joint experimental and simulation study of diffusion in such materials, covering displacements from molecular dimensions up to tens of micrometers with carefully selected probe molecules. In addition to mass transfer through the channels, diffusion (at much smaller rates) is also found to occur in directions perpendicular to the channels, thus providing clear evidence of connectivity. With increasing displacements, propagation in both axial and transversal directions is progressively retarded, suggesting a scale-dependent, hierarchical distribution of transport resistances ("constrictions" in the channels) and of shortcuts (connecting "bridges") between adjacent channels. The experimental evidence from these studies is confirmed by molecular dynamics (MD) simulation in the range of atomistic displacements and rationalized with a simple model of statistically distributed "constrictions" and "bridges" for displacements in the micrometer range via dynamic Monte Carlo (DMC) simulation. Both ranges are demonstrated to be mutually transferrable by DMC simulations based on the pore space topology determined by electron tomography.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2017
Appears in Collections:Naturwissenschaftliche Fakultät

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pos. country downloads
total perc.
1 image of flag of Germany Germany 119 65.75%
2 image of flag of United States United States 30 16.57%
3 image of flag of China China 10 5.52%
4 image of flag of No geo information available No geo information available 3 1.66%
5 image of flag of Uruguay Uruguay 3 1.66%
6 image of flag of France France 3 1.66%
7 image of flag of Indonesia Indonesia 2 1.10%
8 image of flag of Brazil Brazil 2 1.10%
9 image of flag of Taiwan Taiwan 1 0.55%
10 image of flag of Israel Israel 1 0.55%
    other countries 7 3.87%

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