Please use this identifier to cite or link to this item: https://doi.org/10.1103/PhysRevE.72.036706
Title: Worm algorithm for two-dimensional spin glasses
Authors: Wang, J.-S. 
Issue Date: Sep-2005
Citation: Wang, J.-S. (2005-09). Worm algorithm for two-dimensional spin glasses. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 72 (3) : -. ScholarBank@NUS Repository. https://doi.org/10.1103/PhysRevE.72.036706
Abstract: A worm algorithm is proposed for the two-dimensional spin glasses. The method is based on a low-temperature expansion of the partition function. The low-temperature configurations of the spin glass on square lattice can be viewed as strings connecting pairs of frustrated plaquettes. The worm algorithm directly manipulates these strings. It is shown that the worm algorithm is efficient, particularly if free boundary conditions are used. We obtain accurate low-temperature specific heat data consistent with a form c∼T-2exp[-2J (kBT)], where T is temperature and J is coupling constant, for the two-dimensional ±J spin glass. © 2005 The American Physical Society.
Source Title: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
URI: http://scholarbank.nus.edu.sg/handle/10635/104901
ISSN: 15393755
DOI: 10.1103/PhysRevE.72.036706
Appears in Collections:Staff Publications

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