Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2003-10-03
Phys. Rev. B 69, 104409 (2004)
Physics
Condensed Matter
Disordered Systems and Neural Networks
11 pages, 16 figures, revtex
Scientific paper
10.1103/PhysRevB.69.104409
We study the behavior of droplets for two dimensional Ising spin glasses with Gaussian interactions. We use an exact matching algorithm which enables study of systems with linear dimension L up to 240, which is larger than is possible with other approaches. But the method only allows certain classes of droplets to be generated. We study single-bond, cross and a category of fixed volume droplets as well as first excitations. By comparison with similar or equivalent droplets generated in previous works, the advantages but also the limitations of this approach are revealed. In particular we have studied the scaling behavior of the droplet energies and droplet sizes. In most cases, a crossover of the data can be observed such that for large sizes the behavior is compatible with the one-exponent scenario of the droplet theory. Only for the case of first excitations, no clear conclusion can be reached, probably because even with the matching approach the accessible system sizes are still too small.
Hartmann Alexander K.
Moore Anna M.
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