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arXiv 2201.13022cond-mat.mtrl-sciphysics.comp-ph
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钨碰撞级联中形成的<100>位错的稳定性

Stability of <100> Dislocations formed in W Collision Cascades

Utkarsh Bhardwaj, Andread E. Sand, Manoj Warrier

AI总结:

该研究利用分子动力学数据库与三种原子间势,分析钨中<100>位错的热稳定性、转变机制及影响因素,为更高尺度微观结构演化模型提供支撑。

摘要:

实验和模拟均已证实辐照钨中存在<100>位错。要研究更高尺度下的微观结构演化,了解这些缺陷的性质和行为至关重要。我们利用包含230个碰撞级联的分子动力学(MD)数据库,采用三种不同的原子间势,研究了其中形成的各类<100>位错的热稳定性及转变机制。对于在MD可轻松达到的100纳秒时间尺度内发生转变的各类缺陷,我们计算了<100>位错向更稳定的<111>位错转变的能量。<100>位错的稳定性随尺寸增大而提升,但这一趋势并非严格成立。造成不规则性的原因在于内部构型的多个方面,例如:(i)缺陷内部<100>取向挤列子的排列;(ii)缺陷边缘非<100>挤列子的存在与排列。我们展示了典型的转变路径,并讨论了缺陷构型中不稳定性的来源。我们还探讨了不同原子间势下发现的稳定性异同。理解转变机制和内部形貌有助于深入认识<100>位错的稳定性,对Kinetic Monte Carlo(KMC,动力学蒙特卡洛)等更高尺度模型具有参考价值。

英文摘要:

Experiments and simulations both have verified the presence of <100> dislocations in irradiated W. It is essential to know the properties and behavior of these defects to study the evolution of microstructures at higher scales. We study the thermal stability and transition mechanism of various <100> dislocations formed in a molecular dynamics (MD) database of 230 collision cascades using three different interatomic potentials. The energy of transition of <100> dislocations to more stable <111> dislocations is calculated for various defects that transition within the 100 nanosecond time scale readily accessible to MD. The stability of <100> dislocations increases with size, but the trend is not strict. The reasons for irregularities are the aspects of internal configuration such as (i) the arrangement of <100> directed crowdions within the defect, (ii) the presence and arrangement of non-<100> crowdions on the fringes of the defect. We show the typical pathways of transitions and discuss the sources of instability in the defect configurations. We also discuss the similarities and differences in stability found across different interatomic potentials. Understanding transition mechanisms and internal morphology gives insights into the stability of <100> dislocations, useful in higher scale models such as Kinetic Monte Carlo (KMC).

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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