Physics based models for process optimization

L. Pelaz, L. Marqués, M. Aboy, P. López, I. Santos
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Abstract

The shrinking of Si device dimensions has revealed the need of detailed atomistic models to gain better understanding of physical mechanisms involved in device fabrication as a way for process optimization. Our atomistic model for amorphization based on the accumulation of bond defects captures the sensitivity of defect accumulation to implant parameters, such as wafer temperature or flux. These parameters affect the width of amorphous layers formed by ion implantation and, as a result, the residual damage that remains beyond the amorphous/crystalline interface after solid phase epitaxial regrowth at low temperature. During additional higher temperature anneals, Si interstitials from the end of range are injected and cause B deactivation through the growth of preexisting B clusters in the regrown amorphous layer. The presence of impurities, such as F or C acting as Si interstitial traps, may prevent Si interstitials from reaching B atoms, and thus, the undesirable enhanced B diffusion and deactivation.
基于物理的工艺优化模型
硅器件尺寸的缩小表明需要详细的原子模型来更好地理解器件制造中涉及的物理机制,作为工艺优化的一种方式。我们基于键缺陷积累的非晶化原子模型捕获了缺陷积累对晶圆温度或通量等植入参数的敏感性。这些参数影响离子注入形成的非晶层的宽度,从而影响低温固相外延再生后非晶/晶界面以外的残余损伤。在额外的高温退火过程中,从范围末端注入Si间隙,并通过在重新生长的非晶层中预先存在的B团簇的生长导致B失活。杂质的存在,如F或C作为Si的间隙陷阱,可能会阻止Si的间隙到达B原子,因此,不希望的B扩散和钝化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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