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Vacancy clustering and diffusion in silicon: Kinetic lattice Monte Carlo simulations

机译:硅中的空位聚集和扩散:动力学晶格蒙特卡洛模拟

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Diffusion and clustering of lattice vacancies in silicon as a function of temperature, concentration, and interaction range are investigated by kinetic lattice Monte Carlo simulations. It is found that higher temperatures lead to larger clusters with shorter lifetimes on average, which grow by attracting free vacancies, while clusters at lower temperatures grow by the aggregation of smaller clusters. Long interaction ranges produce enhanced diffusivity and fewer clusters. Greater vacancy concentrations lead to more clusters, with fewer free vacancies, but the size of the clusters is largely independent of concentration. Vacancy diffusivity is shown to obey power law behavior over time, and the exponent of this law is shown to increase with concentration, at fixed temperature, and decrease with temperature, at a fixed concentration.
机译:通过动力学晶格蒙特卡洛模拟研究了硅中晶格空位的扩散和聚集随温度,浓度和相互作用范围的变化。发现较高的温度导致平均寿命较短的较大簇,其通过吸引自由空位而生长,而温度较低的簇则通过较小簇的聚集而生长。较长的相互作用范围产生增强的扩散性和较少的团簇。空位集中度越高,群集越多,自由空位越少,但是群集的大小在很大程度上与集中度无关。空位扩散率显示随时间服从幂律行为,并且该定律的指数显示在固定温度下随浓度增加而在固定浓度下随温度减小。

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