Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2005-08-16
Physics
Condensed Matter
Disordered Systems and Neural Networks
25 pages, 8 figures, to appear in Chem. Geol
Scientific paper
The structure and transport properties of SiO2-Al2O3 melts containing 13 mol% and 47 mol% Al2O3 are investigated by means of large scale molecular dynamics computer simulations. The interactions between the atoms are modelled by a pair potential which is a modified version of the one proposed by Kramer et al. [J. Am. Chem. Soc. 64, 6435 (1991)]. Fully equilibrated melts in the temperature range 6000 K >= T > 2000 K are considered as well as glass configurations, that were obtained by a rapid quench from the lowest melt temperatures. Each system is simulated at two different densities in order to study the effect of pressure on structural and dynamic properties. We find that the Al atoms are, like the Si atoms, mainly four-fold coordinated by oxygen. However, the packing of the AlO4 tetrahedra is very different from that of the SiO4 tetrahedra, which is reflected by the presence of triclusters (O atoms surrounded by three cations) and edge--sharing AlO4 tetrahedra. On larger length scales, a micro-segregation occurs, resulting in an Al-rich network percolating through the Si-O network. This is reflected in a prepeak of concentration-concentration structure factors around 0.5 A^-1 (both in the system with 47 mol% and 13 mol% Al2O3!). We also address the interplay between structure and mass transport. To this end, the behavior of the selfdiffusion constants for the different compositions and densities is studied.
Binder Kurt
Horbach Juergen
Pfleiderer Patrick
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