Monte Carlo Simulations and Parameter Optimization of Migrationcoalescence of Helium Bubbles in Materials
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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 migrationcoalescence 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.Abstract: The evolution of helium bubbles in materials has been simulated by Monte Carlo methods based on the migrationcoalescence 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.
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Key words:
- Monte Carlo simulation /
- helium /
- parameter optimization
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