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High Efficiency Algorithm for The Dipolar Interaction Energy of 2D Magnetic Nanoparticle Systems

机译:二维磁性纳米粒子系统偶极相互作用能的高效算法

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Most of simulations often require the calculation of all pairwise interaction in large ensembles of particles, such as N-body problem of gravitation, electrostatic interaction and magnetic dipolar interaction, etc. The main difficulty in the calculation of long-range interaction is how to accelerate the slow convergence of the occurring sums. In this work, we are interested in the dipolar interaction in the two dimensional (2D) magnetic dipolar nanoparticle systems, which have attracted much attention due to both their important technological applications such as high-density patterned recording media and their rich and often unusual experimental behaviours. We develop a high efficiency algorithm based on the Lekner method to evaluate the magnetic dipolar energy for such systems, where the simulation cell is periodically replicated in the plane. Taking advantage of the symmetry of the systems, the dipolar interaction energy is expressed by rapidly converging series of modified Bessel functions in our algorithm. We found that our algorithm is better than the traditional Ewald summation method in efficiency for the regular arrays. Moreover, two simple formulas are obtained to evaluate the self-energy, which is important in the simulation of the dipolar systems.
机译:大多数模拟通常需要计算大粒子集合中的所有成对相互作用,例如重力的N体问题,静电相互作用和磁偶极相互作用等。长距离相互作用的计算的主要困难是如何加速发生的总和的缓慢收敛。在这项工作中,我们对二维(2D)磁性偶极纳米粒子系统中的偶极相互作用感兴趣,由于其重要的技术应用(例如高密度图案化记录介质)以及它们丰富且通常不寻常的实验,二维磁偶极纳米粒子系统中的偶极相互作用引起了极大的关注。行为。我们开发了一种基于Lekner方法的高效算法来评估此类系统的磁偶极能量,在该系统中,模拟单元会定期在平面中复制。利用系统的对称性,偶极子相互作用能由我们算法中快速修正的Bessel函数序列的快速收敛表示。我们发现,对于常规阵列,我们的算法在效率上优于传统的Ewald求和方法。此外,获得了两个简单的公式来评估自能量,这在偶极系统的仿真中很重要。

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