Search results for "NEURAL NETWORK"

showing 10 items of 1385 documents

Monte Carlo study of the order-parameter distribution in the four-dimensional Ising spin glass

1990

We investigate the order-parameter distribution P(q) of the Ising spin glass with nearest-neighbor interactions in four dimensions using Monte Carlo simulations on lattices of linear dimension up to L=6. We find that, below the transition temperature ${\mathit{T}}_{\mathit{c}}$, the weight at small q seems to saturate to a nonzero value as the size increases, similar to the infinite-range Sherrington-Kirkpatrick model. We discuss our results in the light of recent theoretical predictions for the nature of the spin-glass phase.

PhysicsSpin glassCondensed matter physicsTransition temperatureMonte Carlo methodGeneral Physics and AstronomyRenormalization groupCondensed Matter::Disordered Systems and Neural Networkssymbols.namesakeDistribution functionsymbolsIsing spinIsing modelHamiltonian (quantum mechanics)Physical Review Letters
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Spin glasses: Experimental facts, theoretical concepts, and open questions

1986

This review summarizes recent developments in the theory of spin glasses, as well as pertinent experimental data. The most characteristic properties of spin glass systems are described, and related phenomena in other glassy systems (dielectric and orientational glasses) are mentioned. The Edwards-Anderson model of spin glasses and its treatment within the replica method and mean-field theory are outlined, and concepts such as "frustration," "broken replica symmetry," "broken ergodicity," etc., are discussed. The dynamic approach to describing the spin glass transition is emphasized. Monte Carlo simulations of spin glasses and the insight gained by them are described. Other topics discussed …

PhysicsSpin glassCondensed matter physicsmedia_common.quotation_subjectMonte Carlo methodGeneral Physics and AstronomyFrustrationSpin engineeringCondensed Matter::Disordered Systems and Neural NetworksCondensed Matter::Soft Condensed MatterFerromagnetismMetastateAntiferromagnetismCondensed Matter::Strongly Correlated ElectronsReplica trickmedia_commonReviews of Modern Physics
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A Cluster Monte Carlo Algorithm for 2-Dimensional Spin Glasses

2001

A new Monte Carlo algorithm for 2-dimensional spin glasses is presented. The use of clusters makes possible global updates and leads to a gain in speed of several orders of magnitude. As an example, we study the 2-dimensional +/-J Edwards-Anderson model. The new algorithm allows us to equilibrate systems of size 100^2 down to temperature T = 0.1. Our main result is that the correlation length diverges as an exponential and not as a power law as T -> Tc = 0.

PhysicsSpin glassOrders of magnitude (time)Cluster (physics)FOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Statistical physicsCondensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsPower lawMonte Carlo algorithmElectronic Optical and Magnetic MaterialsExponential function
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High-temperature series analysis of the p-state Potts glass model on d-dimensional hypercubic lattices

1999

We analyze recently extended high-temperature series expansions for the “Edwards-Anderson” spin-glass susceptibility of the p-state Potts glass model on d-dimensional hypercubic lattices for the case of a symmetric bimodal distribution of ferro- and antiferromagnetic nearest-neighbor couplings \(\). In these star-graph expansions up to order 22 in the inverse temperature \(\), the number of Potts states p and the dimension d are kept as free parameters which can take any value. By applying several series analysis techniques to the new series expansions, this enabled us to determine the critical coupling Kc and the critical exponent \(\) of the spin-glass susceptibility in a large region of …

PhysicsSpin glassSeries (mathematics)Critical phenomenaCondensed Matter PhysicsCondensed Matter::Disordered Systems and Neural NetworksElectronic Optical and Magnetic MaterialsPadé approximantCondensed Matter::Strongly Correlated ElectronsStatistical physicsSeries expansionCritical exponentFree parameterPotts modelThe European Physical Journal B
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Transient Reversible Growth and Percolation During Phase Separation

1988

Binary mixtures when quenched into the two-phase region exhibit transient percolation phenomena. These transient percolation phenomena and the underlying mechanism of transient reversible growth are investigated. In particular, one of the possible dynamical percolation lines between the dynamical spinodal and the line of macroscopic percolation is traced out. Analyzing the finite size effects with the usual scaling theory one finds exponents which seem to be inconsistent with the universality class of percolation. However, at zero temperature, where the growth is non-reversible and the transition of a sol-gel type, the exponents are consistent with those of random percolation.

PhysicsSpinodalMathematics::ProbabilityCondensed matter physicsPercolationCondensed Matter::Statistical MechanicsTransient (oscillation)Type (model theory)Renormalization groupZero temperatureScaling theoryCondensed Matter::Disordered Systems and Neural NetworksLine (formation)
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How Does the Relaxation of a Supercooled Liquid Depend on Its Microscopic Dynamics?

1998

Using molecular dynamics computer simulations we investigate how the relaxation dynamics of a simple supercooled liquid with Newtonian dynamics differs from the one with a stochastic dynamics. We find that, apart from the early beta-relaxation regime, the two dynamics give rise to the same relaxation behavior. The increase of the relaxation times of the system upon cooling, the details of the alpha-relaxation, as well as the wave vector dependence of the Edwards-Anderson-parameters are independent of the microscopic dynamics.

PhysicsStatistical Mechanics (cond-mat.stat-mech)Condensed matter physicsDynamics (mechanics)FOS: Physical sciencesGeneral Physics and AstronomyThermodynamicsDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksRelaxation behaviorNewtonian dynamicsMolecular dynamicsStochastic dynamicsRelaxation (physics)SupercoolingCondensed Matter - Statistical MechanicsPhysical Review Letters
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The structural relaxation of molten sodium disilicate

2002

We use molecular dynamics computer simulations to study the relaxation dynamics of Na2O-2(SiO2) in its molten, highly viscous state. We find that at low temperatures the incoherent intermediate scattering function for Na relaxes about 100 times faster than the one of the Si and O atoms. In contrast to this all coherent functions relax on the same time scale if the wave-vector is around 1AA^-1. This anomalous relaxation dynamics is traced back to the channel-like structure for the Na atoms that have been found for this system. We find that the relaxation dynamics for Si and O as well as the time dependence of the coherent functions for Na can be rationalized well by means of mode-coupling th…

PhysicsStatistical Mechanics (cond-mat.stat-mech)Condensed matter physicsFOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Function (mathematics)Condensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsMolecular dynamicssymbols.namesakePhase (matter)Gaussian functionsymbolsExponentRelaxation (physics)General Materials ScienceDiffusion (business)Structure factorCondensed Matter - Statistical MechanicsJournal of Physics: Condensed Matter
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Low-energy fixed points of random Heisenberg models

2002

The effect of quenched disorder on the low-energy and low-temperature properties of various two- and three-dimensional Heisenberg models is studied by a numerical strong disorder renormalization group method. For strong enough disorder we have identified two relevant fixed points, in which the gap exponent, omega, describing the low-energy tail of the gap distribution, P(Delta) ~ Delta^omega is independent of disorder, the strength of couplings and the value of the spin. The dynamical behavior of non-frustrated random antiferromagnetic models is controlled by a singlet-like fixed point, whereas for frustrated models the fixed point corresponds to a large spin formation and the gap exponent …

PhysicsStatistical Mechanics (cond-mat.stat-mech)Condensed matter physicsInfrared fixed pointFOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Type (model theory)Fixed pointRenormalization groupCondensed Matter - Disordered Systems and Neural NetworksOmegaExponentCondensed Matter::Strongly Correlated ElectronsRandomnessCondensed Matter - Statistical MechanicsSpin-½Mathematical physics
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Test of mode coupling theory for a supercooled liquid of diatomic molecules. II.q-dependent orientational correlators

1997

Using molecular dynamics computer simulations we study the dynamics of a molecular liquid by means of a general class of time-dependent correlators S_{ll'}^m(q,t) which explicitly involve translational (TDOF) and orientational degrees of freedom (ODOF). The system is composed of rigid, linear molecules with Lennard- Jones interactions. The q-dependence of the static correlators S_{ll'}^m(q) strongly depend on l, l' and m. The time dependent correlators are calculated for l=l'. A thorough test of the predictions of mode coupling theory (MCT) is performed for S_{ll}^m(q,t) and its self part S_{ll}^{(s)m}(q,t), for l=1,..,6. We find a clear signature for the existence of a single temperature T…

PhysicsStatistical Mechanics (cond-mat.stat-mech)Degrees of freedom (physics and chemistry)FOS: Physical sciencesLinear molecular geometryDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksLambdaOmegaDiatomic moleculeQuantum mechanicsMode couplingExponentSignature (topology)Condensed Matter - Statistical MechanicsPhysical Review E
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The McCoy-Wu model in the mean-field approximation

1998

We consider a system with randomly layered ferromagnetic bonds (McCoy-Wu model) and study its critical properties in the frame of mean-field theory. In the low-temperature phase there is an average spontaneous magnetization in the system, which vanishes as a power law at the critical point with the critical exponents $\beta \approx 3.6$ and $\beta_1 \approx 4.1$ in the bulk and at the surface of the system, respectively. The singularity of the specific heat is characterized by an exponent $\alpha \approx -3.1$. The samples reduced critical temperature $t_c=T_c^{av}-T_c$ has a power law distribution $P(t_c) \sim t_c^{\omega}$ and we show that the difference between the values of the critical…

PhysicsStatistical Mechanics (cond-mat.stat-mech)FOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksPower lawOmegaSingularityMean field theoryCritical point (thermodynamics)ExponentSpontaneous magnetizationCritical exponentCondensed Matter - Statistical MechanicsMathematical PhysicsMathematical physicsJournal of Physics A: Mathematical and General
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