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Bimodal and Gaussian Ising spin glasses in dimension two

机译:第二维双峰和高斯依辛旋转眼镜

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摘要

An analysis is given of numerical simulation data to size $L = 128$ on the archetype square lattice Ising spin glasses (ISGs) with bimodal $(±J )$ and Gaussian interaction distributions. It is well established that the ordering temperature of both models is zero. The Gaussian model has a nondegenerate ground state and thus a criticalexponent $η ≡ 0$, and a continuous distribution of energy levels. For the bimodal model, above a size-dependent crossover temperature $T∗(L)$ there is a regime of effectively continuous energy levels; below $T∗(L)$ there is a distinct regime dominated by the highly degenerate ground state plus an energy gap to the excited states.$T∗(L)$ tends to zero at very large $L$, leaving only the effectively continuous regime in the thermodynamic limit. The simulation data on both models are analyzed with the conventional scaling variable $t = T$ and witha scaling variable $\tau_b = T^2/(1 + T^2)$ suitable for zero-temperature transition ISGs, together with appropriate scaling expressions. The data for the temperature dependence of the reduced susceptibility $χ(\tau_b,L)$ and second moment correlation length $ξ (\tau_b,L)$ in the thermodynamic limit regime are extrapolated to the $\tau_b = 0$ critical limit.The Gaussian critical exponent estimates from the simulations, $η = 0$ and $ν = 3.55(5)$, are in full agreement with the well-established values in the literature. The bimodal critical exponents, estimated from the thermodynamic limit regime analyses using the same extrapolation protocols as for the Gaussian model, are $η = 0.20(2)$ and$ν = 4.8(3)$, distinctly different from the Gaussian critical exponents.
机译:对具有双峰$(±J)$和高斯相互作用分布的原型方形晶格Ising自旋玻璃(ISG)上大小为$ L = 128 $的数值模拟数据进行了分析。众所周知,两个模型的订购温度均为零。高斯模型具有非简并的基态,因此具有临界指数$η≡0 $,并且能级连续分布。对于双峰模型,在取决于大小的交叉温度$ T *(L)$之上,存在有效连续能量水平的机制;低于$ T *(L)$时,存在一个明显的状态,主要是高度简并的基态加上与激发态的能隙。$ T *(L)$在$ L $非常大时趋于零,仅留下有效的在热力学极限的连续状态。使用常规缩放变量$ t = T $和适合于零温度转换ISG的缩放变量$ \ tau_b = T ^ 2 /(1 + T ^ 2)$来分析两个模型的仿真数据,并进行适当缩放表达式。在热力学极限范围内,降低磁化率$χ(\ tau_b,L)$和第二矩相关长度$ξ(\ tau_b,L)$的温度依赖性的数据外推到$ \ tau_b = 0 $临界极限模拟中的高斯临界指数估计$η= 0 $和$ν= 3.55(5)$与文献中公认的值完全一致。使用与高斯模型相同的外推协议从热力学极限状态分析中估计的双峰临界指数为$η= 0.20(2)$和$ν= 4.8(3)$,与高斯临界指数明显不同。

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