English

Irreversible growth of binary mixtures on small-world networks

Statistical Mechanics 2009-11-11 v2 Disordered Systems and Neural Networks

Abstract

Binary mixtures growing on small-world networks under far-from-equilibrium conditions are studied by means of extensive Monte Carlo simulations. For any positive value of the shortcut fraction of the network (p>0p>0), the system undergoes a continuous order-disorder phase transition, while it is noncritical in the regular lattice limit (p=0p=0). Using finite-size scaling relations, the phase diagram is obtained in the thermodynamic limit and the critical exponents are evaluated. The small-world networks are thus shown to trigger criticality, a remarkable phenomenon which is analogous to similar observations reported recently in the investigation of equilibrium systems.

Keywords

Cite

@article{arxiv.cond-mat/0602192,
  title  = {Irreversible growth of binary mixtures on small-world networks},
  author = {Julián Candia},
  journal= {arXiv preprint arXiv:cond-mat/0602192},
  year   = {2009}
}

Comments

7 pages, 7 figures; added/removed references and modified presentation. To appear in PRE