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Low-temperature magnetization and the excitation spectrum of antiferromagnetic Heisenberg spin rings

机译:反铁磁海森堡自旋环的低温磁化强度和激发谱

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Accurate results are obtained for the low-temperature magnetization vs magnetic field of Heisenberg spin rings consisting of an even number N of intrinsic spins s = 1/2, 1, 3/2, 2, 5/2, 3, 7/2 with nearest-neighbor antiferromagnetic exchange by employing a numerically exact quantum Monte Carlo method. A straightforward analysis of this data, in particular, the values of the level-crossing fields, provides accurate results for the lowest-energy eigenvalue E_N(S,s) for each value of the total spin quantum number S. In particular, the results are substantially more accurate than those provided by the rotational band approximation. For s ≤ 5/2, data are presented for all even N ≤ 20, which are particularly relevant for experiments on finite magnetic rings. Furthermore, we find that for s ≥ 3/2, the dependence of E_N(S,s) on s can be described by a scaling relation, and this relation is shown to hold well for ring sizes up to N = 80 for all intrinsic spins in the range 3/2 ≤ s ≤ 7/2. Considering ring sizes in the interval 8 ≤ N ≤ 50, we find that the energy gap between the ground state and the first excited state approaches zero proportional to 1/N~α, where α ≈ 0.76 for s = 3/2 and α ≈ 0.84 for s = 5/2. Finally, we demonstrate the usefulness of our present results for E_N(S,s) by examining the Fe_(12) ring-type magnetic molecule, leading to a more accurate estimate of the exchange constant for this system than has been obtained heretofore.
机译:对于由偶数个本征自旋s = 1 / 2、1、3 / 2、2、5 / 2、3、7 / 2的偶数个N组成的海森堡自旋环的低温磁化强度与磁场的关系,可获得准确的结果通过使用数值精确的量子蒙特卡洛方法进行的最近邻反铁磁交换。对这些数据(特别是能级交叉场的值)的直接分析为总自旋量子数S的每个值的最低能量本征值E_N(S,s)提供了准确的结果。特别是,结果比旋转带逼近提供的精度要精确得多。对于s≤5/2,将显示所有偶数N≤20的数据,这与有限磁环的实验特别相关。此外,我们发现,对于s≥3/2,E_N(S,s)对s的依赖性可以通过比例关系来描述,并且对于所有内在环,当N = 80时,该关系被很好地表示。在3/2≤s≤7/2范围内旋转。考虑到环的大小在8≤N≤50的范围内,我们发现基态与第一激发态之间的能隙与1 / N〜α成正比,接近零,其中s = 3/2时α≈0.76,α≈ s = 5/2时为0.84。最后,我们通过检查Fe_(12)环型磁性分子证明了我们当前结果对E_N(S,s)的有用性,从而导致对该系统的交换常数的估计比迄今为止获得的结果更为准确。

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