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核聚变过程中的非高斯涨落和非马尔可夫效应:从量子分子动力学模拟中涌现出的朗之万动力学。

Non-Gaussian fluctuations and non-Markovian effects in the nuclear fusion process: Langevin dynamics emerging from quantum molecular dynamics simulations.

机构信息

State Key Laboratory of Theoretical Physics, Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 100190, China.

出版信息

Phys Rev Lett. 2013 Jul 5;111(1):012501. doi: 10.1103/PhysRevLett.111.012501. Epub 2013 Jul 2.

Abstract

Macroscopic parameters as well as precise information on the random force characterizing the Langevin-type description of the nuclear fusion process around the Coulomb barrier are extracted from the microscopic dynamics of individual nucleons by exploiting the numerical simulation of the improved quantum molecular dynamics. It turns out that the dissipation dynamics of the relative motion between two fusing nuclei is caused by a non-Gaussian distribution of the random force. We find that the friction coefficient as well as the time correlation function of the random force takes particularly large values in a region a little bit inside of the Coulomb barrier. A clear non-Markovian effect is observed in the time correlation function of the random force. It is further shown that an emergent dynamics of the fusion process can be described by the generalized Langevin equation with memory effects by appropriately incorporating the microscopic information of individual nucleons through the random force and its time correlation function.

摘要

从改进量子分子动力学的数值模拟中,我们可以从单个核子的微观动力学中提取出描述库仑势垒周围核聚变过程的朗之万型的宏观参数以及随机力的精确信息。结果表明,两个融合核之间相对运动的耗散动力学是由随机力的非高斯分布引起的。我们发现,在库仑势垒内部的一个小区域内,摩擦系数以及随机力的时间相关函数具有特别大的值。在随机力的时间相关函数中观察到明显的非马尔可夫效应。进一步表明,通过适当将单个核子的微观信息纳入随机力及其时间相关函数,可以通过具有记忆效应的广义朗之万方程来描述融合过程的涌现动力学。

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