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Determining Burgers vectors and geometrically necessary dislocation densities from atomistic data

机译:从原子数据确定Burgers向量和几何上必要的位错密度

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We describe a novel analysis method to quantify the Burgers vectors of dislocations in atomistic ensembles and to calculate densities of geometrically necessary and statistically stored dislocations. This is accomplished by combining geometrical methods to determine dislocation cores and the slip vector analysis, which yields the relative slip of the atoms in dislocation cores and indicates the Burgers vectors of the dislocations. To demonstrate its prospects, the method is applied to investigate the density of geometrically necessary dislocations under a spherical nanoindentation. It is seen that this local information about dislocation densities provides useful information to bridge the gap between atomistic methods and continuum descriptions of plasticity, in particular for non-local plasticity.
机译:我们描述了一种新颖的分析方法,以量化原子性集合体中位错的Burgers向量,并计算几何上必要的和统计存储的位错的密度。这是通过结合确定位错核的几何方法和滑移矢量分析来完成的,滑移矢量分析得出了位错核中原子的相对滑移,并指示了位错的Burgers向量。为了证明其前景,该方法用于研究球形纳米压痕下几何上必要的位错的密度。可以看出,有关位错密度的本地信息为弥合原子方法和可塑性的连续描述之间的差距提供了有用的信息,特别是对于非局部可塑性。

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