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A phenomenological electronic stopping power model for molecular dynamics and Monte Carlo simulation of ion implantation into silicon

机译:一种用于分子的现象学电子阻挡力模型   离子注入硅的动力学和monte Carlo模拟

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摘要

It is crucial to have a good phenomenological model of electronic stoppingpower for modeling the physics of ion implantation into crystalline silicon. Inthe spirit of the Brandt-Kitagawa effective charge theory, we develop a modelfor electronic stopping power for an ion, which can be factorized into (i) aglobally averaged effective charge taking into account effects of close anddistant collisions by target electrons with the ion, and (ii) a local chargedensity dependent electronic stopping power for a proton. This phenomenologicalmodel is implemented into both molecular dynamics and Monte Carlo simulations.There is only one free parameter in the model, namely, the one electron radiusrs0 for unbound electrons. By fine tuning this parameter, it is shown that themodel can work successfully for both boron and arsenic implants. We report thatthe results of the dopant profile simulation for both species are in excellentagreement with the experimental profiles measured by secondary-ion massspectrometry(SIMS) over a wide range of energies and with different incidentdirections. We point out that the model has wide applicability, for it capturesthe correct physics of electronic stopping in ion implantation. This model alsoprovides a good physically-based damping mechanism for molecular dynamicssimulations in the electronic stopping power regime, as evidenced by thestriking agreement of dopant profiles calculated in our molecular dynamicssimulations with the SIMS data.
机译:拥有良好的电子停止能力的现象学模型对于建模离子注入晶体硅的物理过程至关重要。本着Brandt-Kitagawa有效电荷理论的精神,我们开发了一种离子的电子停止能力模型,可以将该模型分解为(i)全球平均有效电荷,其中考虑了目标电子与离子的近距离和远距离碰撞的影响,以及(ii)质子依赖于局部电荷的电子停止功率。该现象学模型在分子动力学和蒙特卡洛模拟中均得以实现。模型中只有一个自由参数,即未结合电子的一个电子半径r0。通过对该参数的微调,表明该模型可以成功地用于硼和砷植入物。我们报告说,两种物质的掺杂物分布模拟结果与通过二次离子质谱法(SIMS)在很宽的能量范围和不同的入射方向上测得的实验分布图非常吻合。我们指出该模型具有广泛的适用性,因为它捕获了离子注入中电子停止的正确物理原理。该模型还为电子停止功率状态下的分子动力学模拟提供了良好的基于​​物理的阻尼机制,这可以通过我们在分子动力学模拟中计算出的掺杂剂分布与SIMS数据的显着一致性来证明。

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