Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2006-03-31
Physics
Condensed Matter
Disordered Systems and Neural Networks
4 pages, 4 figures
Scientific paper
10.1103/PhysRevB.74.184208
The rigid to floppy transitions and the associated intermediate phase in glasses are studied in the case where the local structure is not fully determined from the macroscopic concentration. The approach uses size increasing cluster approximations and constraint counting algorithms. It is shown that the location and the width of the intermediate phase and the corresponding structural, mechanical and energetical properties of the network depend crucially on the way local structures are selected at a given concentration. The broadening of the intermediate phase is obtained for networks combining a large amount of flexible local structural units and a high rate of medium range order.
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