Dynamic critical exponents in Ising spin glasses

1994 ◽  
Vol 49 (1) ◽  
pp. 728-731 ◽  
Author(s):  
L. Bernardi ◽  
I. A. Campbell
1997 ◽  
Vol 56 (9) ◽  
pp. 5271-5275 ◽  
Author(s):  
L. W. Bernardi ◽  
I. A. Campbell

Entropy ◽  
2019 ◽  
Vol 21 (10) ◽  
pp. 978
Author(s):  
Ian A. Campbell ◽  
Per H. Lundow

In addition to the standard scaling rules relating critical exponents at second order transitions, hyperscaling rules involve the dimension of the model. It is well known that in canonical Ising models hyperscaling rules are modified above the upper critical dimension. It was shown by M. Schwartz in 1991 that hyperscaling can also break down in Ising systems with quenched random interactions; Random Field Ising models, which are in this class, have been intensively studied. Here, numerical Ising Spin Glass data relating the scaling of the normalized Binder cumulant to that of the reduced correlation length are presented for dimensions 3, 4, 5, and 7. Hyperscaling is clearly violated in dimensions 3 and 4, as well as above the upper critical dimension D = 6 . Estimates are obtained for the “violation of hyperscaling exponent” values in the various models.


1996 ◽  
Vol 77 (13) ◽  
pp. 2798-2801 ◽  
Author(s):  
L. W. Bernardi ◽  
S. Prakash ◽  
I. A. Campbell

1996 ◽  
Vol 07 (03) ◽  
pp. 337-344 ◽  
Author(s):  
KOJI HUKUSHIMA ◽  
HAJIME TAKAYAMA ◽  
KOJI NEMOTO

An efficient Monte Carlo algorithm for simulating hardly-relaxing systems is proposed. By using this algorithm the three-dimensional ± J Ising spin glass model is studied. The result shows that reasonable values of the critical temperature and of the critical exponents can be obtained within Monte Carlo steps much shorter than the observation time a conventional simulation usually requires.


1995 ◽  
Vol 5 (3) ◽  
pp. 355-364 ◽  
Author(s):  
R. M.C. de Almeida ◽  
L. Bernadi ◽  
I. A. Campbell

2021 ◽  
Vol 103 (2) ◽  
Author(s):  
Stefan Boettcher ◽  
Mahajabin Rahman
Keyword(s):  

1988 ◽  
Vol 37 (13) ◽  
pp. 7745-7750 ◽  
Author(s):  
Jian-Sheng Wang ◽  
Robert H. Swendsen

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