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Optimization of Coulomb Glass System at Low Disorder

机译:低紊乱的库仑玻璃系统优化

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We have here studied a two dimensional Coulomb glass model at low disorder strength, using two different optimization techniques. An algorithm introduced by Baranovskii et al. [6] (BEGS) and its modifications have been used successfully to find the ground state (global minima) of Coulomb glass system at high disorders. We have done a detailed comparison of the structure and energy of the minimum energy state obtained from BEGS algorithm and the Monte Carlo annealing at low disorders. We found that the minimum energy state obtained using Monte Carlo annealing are always lower in energy than the one obtained using BEGS algorithm. The reason why Monte Carlo annealing leads to better optimization than the BEGS algorithm is explained in terms of the domain picture.
机译:我们在这里使用了两种不同的优化技术研究了一两维库仑玻璃模型。 Baranovskii等人引入的算法。 [6](乞讨)及其修改已成功用于找到高疾病的库仑玻璃系统的地面状态(全球最小值)。我们已经详细比较了从乞讨算法和低疾病处退火所获得的最小能量状态的结构和能量的比较。我们发现,使用蒙特卡罗退火获得的最小能量状态总是比使用乞讨算法所获得的能量较低。根据域图片解释了Monte Carlo退火导致比乞讨算法更好地优化的原因。

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