Pore formation mechanisms for the Si-HF system

Citation
J. Carstensen et al., Pore formation mechanisms for the Si-HF system, MAT SCI E B, 69, 2000, pp. 23-28
Citations number
26
Categorie Soggetti
Apllied Physucs/Condensed Matter/Materiales Science","Material Science & Engineering
Journal title
MATERIALS SCIENCE AND ENGINEERING B-SOLID STATE MATERIALS FOR ADVANCED TECHNOLOGY
ISSN journal
09215107 → ACNP
Volume
69
Year of publication
2000
Pages
23 - 28
Database
ISI
SICI code
0921-5107(20000119)69:<23:PFMFTS>2.0.ZU;2-M
Abstract
A model is presented with the potential to account for all processes of the reactive Si-liquid interface including, e.g. current oscillations, and the formation of nano-, meso, and macropores with their specific dependence on crystal orientation. The model assumes that current flow is spatially and temporally inhomogeneous-current thus flows in current 'lines' occurring in current 'bursts'. The mean cycle time between correlated current bursts is mostly given by the kinetics of oxide dissolution and hydrogen passivation (which introduces a strong surface orientation dependence). Structure gene ration at the Si electrode (current oscillations in the time domain or pore formation in the space domain) under these assumptions is a self-organized process resulting from an interplay of synchronizing and desynchronizing m echanisms. Synchronizing mechanisms always couple the nucleation of a new c urrent burst in a specific area to the history of that area, desynchronizin g mechanisms may also depend on the interaction of current burst. Examples for synchronizing mechanisms are enhanced nucleation probabilities on (100) surfaces, response to local oxides from another current burst, or coupling of current bursts by space charge region effects. Desynchronization result s, e.g. from quantum wire effects, or local reduction of reactants or poten tial by a current line. The model accounts qualitatively for most if not al l observed phenomena, gives a number of quantitative relations, and makes n umerous predictions. (C) 2000 Elsevier Science S.A. All rights reserved.