Literature DB >> 16089610

Spin-glass phase transition on scale-free networks.

D-H Kim1, G J Rodgers, B Kahng, D Kim.   

Abstract

We study the Ising spin-glass model on scale-free networks generated by the static model using the replica method. Based on the replica-symmetric solution, we derive the phase diagram consisting of the paramagnetic (P), ferromagnetic (F), and spin glass (SG) phases as well as the Almeida-Thouless line as functions of the degree exponent lambda, the mean degree K, and the fraction of ferromagnetic interactions r. To reflect the inhomogeneity of vertices, we modify the magnetization m and the spin-glass order parameter q with vertex- weights. The transition temperature T(c) (T(g)) between the P-F (P-SG) phases and the critical behaviors of the order parameters are found analytically. When 2<lambda<3, T(c) and T(g) are infinite, and the system is in the F phase or the mixed phase for r>1/2, while it is in the SG phase at r=1/2. m and q decay as power-laws with increasing temperature with different lambda-dependent exponents. When lambda>3, the T(c) and T(g) are finite and related to the percolation threshold. The critical exponents associated with m and q depend on lambda for 3<lambda<5 (3<lambda<4) at the P-F (P-SG) boundary.

Entities:  

Year:  2005        PMID: 16089610     DOI: 10.1103/PhysRevE.71.056115

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  2 in total

1.  The critical Barkhausen avalanches in thin random-field ferromagnets with an open boundary.

Authors:  Bosiljka Tadić; Svetislav Mijatović; Sanja Janićević; Djordje Spasojević; Geoff J Rodgers
Journal:  Sci Rep       Date:  2019-04-19       Impact factor: 4.379

2.  Enhanced storage capacity with errors in scale-free Hopfield neural networks: An analytical study.

Authors:  Do-Hyun Kim; Jinha Park; Byungnam Kahng
Journal:  PLoS One       Date:  2017-10-27       Impact factor: 3.240

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.