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材料中氦泡迁移-融合的蒙特卡罗模拟及其参数优化
引用本文:李仁顺,周宇璐,汪俊,侯氢. 材料中氦泡迁移-融合的蒙特卡罗模拟及其参数优化[J]. 原子核物理评论, 2012, 29(1): 85-91. DOI: 10.11804/NuclPhysRev.29.01.085
作者姓名:李仁顺  周宇璐  汪俊  侯氢
作者单位:四川大学原子核科学技术研究所, 辐射物理及技术教育部重点实验室, 成都 四川610064;
基金项目:国家自然科学基金资助项目(10775101);国家国际热核聚变实验反应堆计划专项资助项目(2009GB106004)~~
摘    要:基于迁移-融合机制, 建立了一套用于模拟材料中氦泡生长行为的蒙特卡罗程序, 探讨了时间步长等控制参数对演化的影响。 研究指出,在考察此类参数对计算的影响时必须考虑氦的初始分布,另外指出在选取邻居半径时除了要考虑到初始分布外还要考虑邻居更新的快慢。 The evolution of helium bubbles in materials has been simulated by Monte Carlo methods based on the migration coalescence mechanism. The influences of simulation parameters on the results are studied. It is found that the initial depth distribution must be considered when assessing the parameters influence, and the frequency of updating neighbor list should also be taken into account when selecting the cutoff range for neighbors.

关 键 词:蒙特卡罗模拟     参数优化
收稿时间:1900-01-01

Monte Carlo Simulations and Parameter Optimization of Migration-coalescence of Helium Bubbles in Materials
LI Ren-shun,ZHOU Yu-lu,WANG Jun,HOU Qing. Monte Carlo Simulations and Parameter Optimization of Migration-coalescence of Helium Bubbles in Materials[J]. Nuclear Physics Review, 2012, 29(1): 85-91. DOI: 10.11804/NuclPhysRev.29.01.085
Authors:LI Ren-shun  ZHOU Yu-lu  WANG Jun  HOU Qing
Affiliation:Key Laboratory for Radiation Physics and Technology of Ministry of Education, Institute of Nuclear Science and Technology, Sichuan University, Chengdu 610064, China;
Abstract:The evolution of helium bubbles in materials has been simulated by Monte Carlo methods based on the migration-coalescence mechanism.The influences of simulation parameters on the results are studied.It is found that the initial depth distribution must be considered when assessing the parameters influence,and the frequency of updating neighbor list should also be taken into account when selecting the cutoff range for neighbors.
Keywords:Monte Carlo simulation  helium  parameter optimization
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