Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2005-09-26
Physics
Condensed Matter
Disordered Systems and Neural Networks
4 pages, 4 EPS figures
Scientific paper
10.1103/PhysRevLett.96.145504
Non-Arrhenius behaviour and fast increase of the ionic conductivity is observed for a number of potassium silicate glasses $(1-x)SiO_2-xK_2O$ with potassium oxide concentration larger than a certain value $x=x_c=0.14$. Recovering of Arrhenius behaviour is provided by the annealing that enhances densification. Conductivity furthermore obeys a percolation law with the same critical concentration $x_c$. These various results are the manifestation of the floppy or rigid nature of the network and can be analyzed with constraint theory. They underscore the key role played by network rigidity for the understanding of conduction and saturation effects in glassy electrolytes.
Chaimbault F.
Malki Mohammed
Micoulaut Matthieu
Vaills Y.
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