Please use this identifier to cite or link to this item: https://doi.org/10.1103/PhysRevE.72.036706
DC FieldValue
dc.titleWorm algorithm for two-dimensional spin glasses
dc.contributor.authorWang, J.-S.
dc.date.accessioned2014-10-28T03:13:13Z
dc.date.available2014-10-28T03:13:13Z
dc.date.issued2005-09
dc.identifier.citationWang, 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
dc.identifier.issn15393755
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/104901
dc.description.abstractA 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1103/PhysRevE.72.036706
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCOMPUTATIONAL SCIENCE
dc.description.doi10.1103/PhysRevE.72.036706
dc.description.sourcetitlePhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
dc.description.volume72
dc.description.issue3
dc.description.page-
dc.description.codenPLEEE
dc.identifier.isiut000232227800113
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

16
checked on Nov 26, 2021

WEB OF SCIENCETM
Citations

72
checked on Nov 26, 2021

Page view(s)

101
checked on Dec 2, 2021

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.