Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
1999-12-20
J. Phys. A 33, 2489 (2000)
Physics
Condensed Matter
Disordered Systems and Neural Networks
6 pages RevTeX, eps figures included
Scientific paper
10.1088/0305-4470/33/13/303
We investigate the effects of topological defects (dislocations) to the ground state of the solid-on-solid (SOS) model on a simple cubic disordered substrate utilizing the min-cost-flow algorithm from combinatorial optimization. The dislocations are found to destabilize and destroy the elastic phase, particularly when the defects are placed only in partially optimized positions. For multi defect pairs their density decreases exponentially with the vortex core energy. Their mean distance has a maximum depending on the vortex core energy and system size, which gives a fractal dimension of $1.27 \pm 0.02$. The maximal mean distances correspond to special vortex core energies for which the scaling behavior of the density of dislocations change from a pure exponential decay to a stretched one. Furthermore, an extra introduced vortex pair is screened due to the disorder-induced defects and its energy is linear in the vortex core energy.
Pfeiffer Frank O.
Rieger Heiko
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