Irreversible growth of binary mixtures on small-world networks.

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>0), the system undergoes a continuous order-disorder phase transition, while it is noncritical in the regular lattice limit (p=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 phenomenon analogous to similar observations reported recently in the investigation of equilibrium systems.

[1]  Pontus Svenson,et al.  Damage spreading in small world Ising models. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[2]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[3]  Béla Bollobás,et al.  The Diameter of a Cycle Plus a Random Matching , 1988, SIAM J. Discret. Math..

[4]  Beom Jun Kim,et al.  Comment on "Ising model on a small world network". , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[5]  K. Binder,et al.  A Guide to Monte Carlo Simulations in Statistical Physics , 2000 .

[6]  I. M. Sokolov,et al.  Small-world Rouse networks as models of cross-linked polymers , 2000, cond-mat/0004392.

[7]  Alejandro D Sánchez,et al.  Nonequilibrium phase transitions in directed small-world networks. , 2002, Physical review letters.

[8]  Rosenberger,et al.  Morphological evolution of growing crystals: A Monte Carlo simulation. , 1988, Physical review. A, General physics.

[9]  R. Monasson Diffusion, localization and dispersion relations on “small-world” lattices , 1999 .

[10]  H. Freund,et al.  Influence of the metal substrate on the adsorption properties of thin oxide layers: Au atoms on a thin alumina film on NiAl(110). , 2006, Physical review letters.

[11]  E V Albano,et al.  Theoretical description of teaching-learning processes: a multidisciplinary approach. , 2001, Physical review letters.

[12]  C. Herrero Ising model in small-world networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[13]  Scaling behaviour of an extended Eden model , 1994 .

[14]  Dynamic critical behavior of the XY model in small-world networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[15]  P Minnhagen,et al.  XY model in small-world networks. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[16]  Víctor M Eguíluz,et al.  Epidemic threshold in structured scale-free networks. , 2002, Physical review letters.

[17]  G Korniss,et al.  Dynamic phase transition, universality, and finite-size scaling in the two-dimensional kinetic Ising model in an oscillating field. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[18]  Moshe Gitterman,et al.  Small-world phenomena in physics: the Ising model , 2000 .

[19]  Kurt Binder,et al.  Monte Carlo Simulation in Statistical Physics , 1992, Graduate Texts in Physics.

[20]  M. Kuperman,et al.  Small world effect in an epidemiological model. , 2000, Physical review letters.

[21]  Hans J. Herrmann,et al.  Geometrical cluster growth models and kinetic gelation , 1986 .

[22]  E V Albano,et al.  Comparative study of an Eden model for the irreversible growth of spins and the equilibrium Ising model. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[23]  M. Weigt,et al.  On the properties of small-world network models , 1999, cond-mat/9903411.

[24]  Alessandro Vespignani,et al.  Epidemic spreading in scale-free networks. , 2000, Physical review letters.

[25]  Michael Hinczewski,et al.  Inverted Berezinskii-Kosterlitz-Thouless singularity and high-temperature algebraic order in an Ising model on a scale-free hierarchical-lattice small-world network. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[26]  P. A. Rikvold,et al.  Kinetic Ising Model in an Oscillating Field: Finite-Size Scaling at the Dynamic Phase Transition , 1998 .

[27]  M. Farle,et al.  Two Susceptibility Maxima and Element Specific Magnetizations in Indirectly Coupled Ferromagnetic Layers , 1998 .

[28]  P. A. Rikvold,et al.  Kinetic Ising model in an oscillating field: Avrami theory for the hysteretic response and finite-size scaling for the dynamic phase transition , 1998, cond-mat/9809136.

[29]  L. Amaral,et al.  Small-world networks and the conformation space of a short lattice polymer chain , 2000, cond-mat/0004380.

[30]  M. Newman,et al.  Renormalization Group Analysis of the Small-World Network Model , 1999, cond-mat/9903357.

[31]  Raúl Toral,et al.  Nonequilibrium transitions in complex networks: a model of social interaction. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[32]  Gesine Reinert,et al.  Small worlds , 2001, Random Struct. Algorithms.

[33]  D. Stauffer,et al.  Ferromagnetic phase transition in Barabási–Albert networks , 2001, cond-mat/0112312.

[34]  M. Napiórkowski,et al.  Filling transition for a wedge. , 1998, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[35]  Herrmann,et al.  Universality classes for spreading phenomena: A new model with fixed static but continuously tunable kinetic exponents. , 1985, Physical review letters.

[36]  S. N. Dorogovtsev,et al.  Evolution of networks , 2001, cond-mat/0106144.

[37]  L. Sander,et al.  Diffusion-limited aggregation , 1983 .

[38]  Vladimir Privman,et al.  Finite Size Scaling and Numerical Simulation of Statistical Systems , 1990 .

[39]  A predictive tool in micro- and nanoengineering: Straightforward estimation of conformal film growth efficiency , 2002, cond-mat/0210139.

[40]  T. Moffat,et al.  Superconformal electrodeposition in submicron features. , 2001, Physical review letters.

[41]  M. Newman,et al.  Scaling and percolation in the small-world network model. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.