Abstract:We extended the Broad Histogram Method in order to obtain spectral degeneracies for systems with multiparametric Hamiltonians. As examples we obtained the critical lines for the square lattice Ising model with nearest and next-nearest neighbor interactions and the antiferromagnetic Ising model in an external field. For each system, the entire critical line is obtained using data from a single computer run. We also discuss the accuracy and efficiency of our method.PACS numbers: 02.70.Lq, 05.50.+q, 75.10.HkThe s… Show more
“…We will now be recording, again in the high-levels of the WL diffusion process, the cumu-lative (exchange-energy, field-energy) two-parametric histograms, in order to produce an approximation for the two-parametric DOS of the RFIM. At this point, we should stress that any multi-parametric WL process is inevitably restricted to rather small lattices [62,74,75,76,77]. In fact the applications of such multi-parametric methods are substantially limited, since besides the immense time and excessive memory requirements, they very often face severe ergodic and/or convergence problems, depending on both the physical system and the algorithmic implementation.…”
The one-parametric Wang-Landau (WL) method is implemented together with an extrapolation scheme to yield approximations of the two-dimensional (exchange-energy, field-energy) density of states (DOS) of the 3D bimodal random-field Ising model (RFIM). The present approach generalizes our earlier WL implementations, by handling the final stage of the WL process as an entropic sampling scheme, appropriate for the recording of the required two-parametric histograms. We test the accuracy of the proposed extrapolation scheme and then apply it to study the size-shift behavior of the phase diagram of the 3D bimodal RFIM. We present a finite-size converging approach and a well-behaved sequence of estimates for the critical disorder strength. Their asymptotic shift-behavior yields the critical disorder strength and the associated correlation length's exponent, in agreement with previous estimates from ground-state studies of the model. PACS. PACS. 05.50+q Lattice theory and statistics (Ising, Potts. etc.) -64.60.Fr Equilibrium properties near critical points, critical exponents -75.10.Nr Spin-glass and other random models
“…We will now be recording, again in the high-levels of the WL diffusion process, the cumu-lative (exchange-energy, field-energy) two-parametric histograms, in order to produce an approximation for the two-parametric DOS of the RFIM. At this point, we should stress that any multi-parametric WL process is inevitably restricted to rather small lattices [62,74,75,76,77]. In fact the applications of such multi-parametric methods are substantially limited, since besides the immense time and excessive memory requirements, they very often face severe ergodic and/or convergence problems, depending on both the physical system and the algorithmic implementation.…”
The one-parametric Wang-Landau (WL) method is implemented together with an extrapolation scheme to yield approximations of the two-dimensional (exchange-energy, field-energy) density of states (DOS) of the 3D bimodal random-field Ising model (RFIM). The present approach generalizes our earlier WL implementations, by handling the final stage of the WL process as an entropic sampling scheme, appropriate for the recording of the required two-parametric histograms. We test the accuracy of the proposed extrapolation scheme and then apply it to study the size-shift behavior of the phase diagram of the 3D bimodal RFIM. We present a finite-size converging approach and a well-behaved sequence of estimates for the critical disorder strength. Their asymptotic shift-behavior yields the critical disorder strength and the associated correlation length's exponent, in agreement with previous estimates from ground-state studies of the model. PACS. PACS. 05.50+q Lattice theory and statistics (Ising, Potts. etc.) -64.60.Fr Equilibrium properties near critical points, critical exponents -75.10.Nr Spin-glass and other random models
“…The title compound of [N(CH 3 ) 4 ][N(C 2 H 5 ) 4 ]ZnCl 4 was synthesized starting from precursor N(CH 3 ) 4 Cl, N (C 2 H 5 ) 4 Cl, and ZnCl 2 of high purity (more than 99.9%). The precursors were weighted in the stoichiometric proportion in conformity with the following equation, then dissolved in a minimum quantity of water and finally mixed.…”
Section: Methodsmentioning
confidence: 99%
“…The crystal structure of the [N(CH 3 ) 4 ][N(C 2 H 5 ) 4 ]ZnCl 4 compound can be described by alternating organic layers (TEA) 2+ and organic-inorganic layers [(TMA) + /ZnCl 4 2− ] parallel to the (0 1 0) plane (Fig. 1).…”
Section: Introductionmentioning
confidence: 99%
“…[N(C 2 H 5 ) 4 ][NCH3 )4 ]ZnCl 4 compound is investigated in the temperature range 420-520 K. The X-ray diffraction analysis shows that the compound crystallizes in an orthorhombic system. The Raman and infrared spectra of the [(CH 3 ) 4 N][(C 2 H 5 ) 4 N]ZnCl 4 compound can be divided into three parts: the vibrational modes of [ZnCl 4 ] 2− below 300 cm −1 , the internal modes of the [(CH 3 ) 4 N] + , and the [(C 2 H 5 ) 4 N] + cation in the 300-1000 cm −1 range and the vibrational modes of CH 3 and CH 2 above 1000 cm −1 .…”
The [N(CH 3 ) 4 ][N(C 2 H 5 ) 4 ]ZnCl 4 compound has been synthesized by a solution-based chemical method. The X-ray diffraction study at room temperature revealed an orthorhombic system with P2 1 2 1 2 space group. The complex impedance has been investigated in the temperature and frequency ranges 420-520 K and 200 Hz-5 MHz, respectively. The grain interior and grain boundary contribution to the electrical response in the material have been identified. Dielectric data were analyzed using the complex electrical modulus M * for the sample at various temperature. The modulus plots can be characterized by full width at half height or in terms of a non-exponential decay function φ(t)=exp[(−t/τ) β ]. The detailed conductivity study indicated that the electrical conduction in the material is a thermally activated process. The variation of the AC conductivity with frequency at different temperatures obeys the Almond and West universal law.
“…1. From both numerical [2,11] and analytical [10,12] approaches, it was shown that in the plane of the reduced temperature kT /J 1 against the competition parameter −J 2 /J 1 , the phase diagram presents ferromagnetic, paramagnetic and super-antiferromagnetic phases. The critical line between the ferromagnetic and paramagnetic phases belongs to the universality class of the two-dimensional Ising model, whereas the critical exponents along the critical line separating the SAF ordered phase from the the paramagnetic phase are found to be non-universal.…”
In this work the two-dimensional Ising model with nearest-and next-nearest-neighbor interactions is revisited. We obtain the dynamic critical exponents z and θ from short-time Monte Carlo simulations. The dynamic critical exponent z was obtained from the time behavior of the ratio, whereas the non-universal exponent θ was estimated from the time correlation of the order parameter M (0)M (t) ∼ t θ , where M (t) is the order parameter at instant t, d is the dimension of the system and (· · ·) is the average of the quantity (· · ·) over different samples. We have also obtained the static critical exponents β and ν by investigating the time behavior of the magnetization.
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