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Low-temperature long-time simulations of Ising ferromagnets using the Monte Carlo with Absorbing Markov Chains method

机译:蒙特卡罗吸收马尔可夫链法对伊辛铁磁体的低温长时间模拟

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The Monte Carlo with Absorbing Markov Chains (MCAMC) method is introduced. This method is a generalization of the rejection-free method known as the n-fold way. The MCAMC algorithm is applied to the study of the very low-temperature properties of the lifetime of the metastable stage of Ising ferromagnets. This is done both for square-lattice and cubic-lattice nearest-neighbor models. Comparison is made with exact low-temperature predictions, in particular the low-temperature predictions that the metastable lifetime is discontinuous at particular values of the field. This discontinuity for the square lattice is not seen in finite-temperatures studies. For the cubic lattice, it is shown that these 'exact predictions' are incorrect near the fields where there are discontinuities. The low-temperature formula must be modified and the corrected low-temperature predictions are not discontinuous in the energy of the nucleating droplet.
机译:介绍了带吸收马尔可夫链的蒙特卡洛方法(MCAMC)。此方法是称为n折法的无拒绝方法的推广。 MCAMC算法被用于研究伊辛铁磁体亚稳级寿命的极低温特性。对于正方形晶格和三次晶格最近邻模型都可以做到这一点。与精确的低温预测进行比较,尤其是在亚稳态寿命在特定场强下是不连续的低温预测。在有限温度研究中看不到方格的这种不连续性。对于立方晶格,表明这些“精确预测”在不连续的场附近是不正确的。必须修改低温公式,并且校正后的低温预测在成核液滴的能量中不是不连续的。

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