Titlebook: Computer Simulation Studies in Condensed-Matter Physics XI; Proceedings of the E David P. Landau,Heinz-Bernd Schüttler Conference proceedin

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BRAWL

仔細(xì)閱讀

MC Study of the ,-state Mean-Field Potts Glass glass transition temperature T., the moments .(.) of the spin glass order parameter satisfy for . = 3 a simple scaling behavior, .(.) .. The specific-heat maxima exhibit a similar behavior, .. α . — .., while the approach of the maxima positions .. to .. as . → ∞ is non-monotonic. For . = 6 the res

商業(yè)上

The Random Transverse Field Ising Ferromagnet: The Simplest Disordered Model with a Quantum Phase Treld by Monte Carlo simulations. We find results similar to those known analytically in one-dimension: the dynamical exponent is infinite and, at the critical point, the typical correlation function decays with a stretched exponential dependence on distance. Away from the critical point, there may be

Dedication

改變立場(chǎng)

From Finite Temperature Many-Body Perturbation Theory to Series Expansions and Monte Carlo Simulatioions for a variety of problems. Two approaches are outlined: (i) The cluster expansion method needed to develop convergent series expansions in some small parameter, and (ii) the power series expansion of the partition function that converges for finite lattices and forms the basis for the stochasti

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Stochastic Diagonalizationd the largest eigenvalue of the two-fermion density matrix of the BCS reduced Hamiltonian, the Hubbard model, and the Hubbard model with correlated hopping. The existence of Off-Diagonal Long-Range Order in these models is addressed. It is show that the model with correlated hopping and repulsive on

echnic

Zero-Temperature Phase Transitions in Molecular Solids by Diffusion Monte Carlore examined, which are helpful in reducing statistical error bars in the computation of the quantum mechanical ground state energy ... The possibility of calculating the order parameter is also discussed. This calculation is a non-trivial task in a multi-particle system because the underlying Markov

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