Criticality in a hybrid spin model with Fermi-Dirac statistics

被引：3

作者：

Contoyiannis, Y. F. ^{[1
]}

Potirakis, S. M. ^{[1
]}

Diakonos, F. K. ^{[2
]}

Kosmidis, E. K. ^{[3
]}

机构：

[1] Univ West Attica, Dept Elect & Elect Engn, Campus 2,250 Thivon P Ralli, GR-12244 Athens, Greece

[2] Univ Athens, Dept Phys, GR-15784 Athens, Greece

[3] Aristotle Univ Thessaloniki, Dept Med, Physiol Lab, Thessaloniki GR-54006, Greece

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2021年 / 577卷 / 577期

关键词：

2D Ising; Fermi-Dirac statistics; Metropolis algorithm; Critical fluctuations; Tricritical fluctuations; EARTHQUAKE PREPARATION;

D O I：

10.1016/j.physa.2021.126073

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Combining concepts of artificial neural networks (ANNs) with the stochastic dynamics of Ising spin lattices we introduce a hybrid model, the hybrid spin model (HSM). We find that the HSM carries the critical/tricritical fluctuations of the 2D Ising model and allows for an accurate estimation of the isothermal critical/tricritical exponents of 2D Ising universality class. Our work clearly demonstrates that HSM launches a new category of models supporting alternative pathways for the realization of criticality in complex networks artificial or real. (C) 2021 Elsevier B.V. All rights reserved.

引用

页数：9

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