Monte Carlo Simulations of Spin Glass Systems on the Cell Broadband Engine

Author(s):  
Francesco Belletti ◽  
Marco Guidetti ◽  
Andrea Maiorano ◽  
Filippo Mantovani ◽  
Sebastiano Fabio Schifano ◽  
...  
2021 ◽  
Vol 94 (3) ◽  
Author(s):  
A. Krawiecki

Abstract The q-neighbor Ising model is investigated on homogeneous random graphs with a fraction of edges associated randomly with antiferromagnetic exchange integrals and the remaining edges with ferromagnetic ones. It is a nonequilibrium model for the opinion formation in which the agents, represented by two-state spins, change their opinions according to a Metropolis-like algorithm taking into account interactions with only a randomly chosen subset of their q neighbors. Depending on the model parameters in Monte Carlo simulations, phase diagrams are observed with first-order ferromagnetic transition, both first- and second-order ferromagnetic transitions and second-order ferromagnetic and spin-glass-like transitions as the temperature and fraction of antiferromagnetic exchange integrals are varied; in the latter case, the obtained phase diagrams qualitatively resemble those for the dilute spin-glass model. Homogeneous mean-field and pair approximations are extended to take into account the effect of the antiferromagnetic exchange interactions on the ferromagnetic phase transition in the model. For a broad range of parameters, critical temperatures for the first- or second-order ferromagnetic transition predicted by the homogeneous pair approximation show quantitative agreement with those obtained from Monte Carlo simulations; significant differences occur mainly in the vicinity of the tricritical point in which the critical lines for the second-order ferromagnetic and spin-glass-like transitions meet. Graphic abstract


Nanoscale ◽  
2014 ◽  
Vol 6 (7) ◽  
pp. 3764-3776 ◽  
Author(s):  
A. Kostopoulou ◽  
K. Brintakis ◽  
M. Vasilakaki ◽  
K. N. Trohidou ◽  
A. P. Douvalis ◽  
...  

Dynamical susceptibility and Monte Carlo simulations unravel the spin-glass dynamics due to the assembly of colloidal nanoparticles in clusters with increased volume fraction.


Sign in / Sign up

Export Citation Format

Share Document