scholarly journals A cluster Monte Carlo algorithm for 2-dimensional spin glasses

2001 ◽  
Vol 22 (4) ◽  
pp. 479-484 ◽  
Author(s):  
J. Houdayer
Materials ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 3696
Author(s):  
Artur Chrobak ◽  
Grzegorz Ziółkowski ◽  
Dariusz Chrobak ◽  
Grażyna Chełkowska

This paper refers to Monte Carlo magnetic simulations for large-scale systems. We propose scaling rules to facilitate analysis of mesoscopic objects using a relatively small amount of system nodes. In our model, each node represents a volume defined by an enlargement factor. As a consequence of this approach, the parameters describing magnetic interactions on the atomic level should also be re-scaled, taking into account the detailed thermodynamic balance as well as energetic equivalence between the real and re-scaled systems. Accuracy and efficiency of the model have been depicted through analysis of the size effects of magnetic moment configuration for various characteristic objects. As shown, the proposed scaling rules, applied to the disorder-based cluster Monte Carlo algorithm, can be considered suitable tools for designing new magnetic materials and a way to include low-level or first principle calculations in finite element Monte Carlo magnetic simulations.


2019 ◽  
Vol 238 ◽  
pp. 157-164 ◽  
Author(s):  
Artur Chrobak ◽  
Grzegorz Ziółkowski ◽  
Krzysztof Granek ◽  
Dariusz Chrobak

2010 ◽  
Vol 12 (1) ◽  
pp. 64-72 ◽  
Author(s):  
Arnab Das ◽  
Anjan K. Chandra ◽  
Bikas K. Chakrabarti

2006 ◽  
Vol 73 (2) ◽  
Author(s):  
Natali Gulbahce ◽  
Francis J. Alexander ◽  
Gregory Johnson

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.


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