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首页> 外文期刊>Journal of Computational Physics >Relaxation dynamics in small clusters: A modified Monte Carlo approach
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Relaxation dynamics in small clusters: A modified Monte Carlo approach

机译:小群中的弛豫动力学:改进的蒙特卡洛方法

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Relaxation dynamics in two-dimensional atomic clusters consisting of mono-atomic particles interacting through Lennard-Jones (L-J) potential has been investigated using Monte Carlo simulation. A modification of the conventional Metropolis algorithm is proposed to introduce realistic thermal motion of the particles moving in the interacting L-J potential field. The proposed algorithm leads to a quick equilibration from the nonequilibrium cluster configuration in a certain temperature regime, where the relaxation time (tau), measured in terms of Monte Carlo Steps (MCS) per particle, vary inversely with the square root of system temperature (root T) and pressure (P); tau alpha (P root T)(-1). From this a realistic correlation between MCS and time has been predicted. (c) 2007 Elsevier Inc. All rights reserved.
机译:已经使用蒙特卡罗模拟研究了由通过Lennard-Jones(L-J)势相互作用的单原子粒子组成的二维原子簇中的弛豫动力学。提出了对传统Metropolis算法的修改,以引入在相互作用的L-J势场中运动的粒子的真实热运动。所提出的算法可在特定温度范围内从非平衡簇结构快速平衡,其中以每个粒子的蒙特卡洛步长(MCS)衡量的弛豫时间(tau)与系统温度的平方根成反比(根T)和压力(P); tau alpha(P根T)(-1)。由此可以预测MCS与时间之间的现实关联。 (c)2007 Elsevier Inc.保留所有权利。

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