Reliability Challenges and Inline Metrology - An Effective Approach to Implementation in Advanced Devices

D. Fishman, Sang-Hyun Han
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Abstract

As semiconductor devices scale down in size, the sensitivity of reliability to process variation increases. This increase is due to the high-reliability requirements for advanced system applications, the narrowing process margins, and the high sensitivity of devices to composition. At the process level, specific materials or process chambers can degrade the devices' reliability, induced by additional charge traps in the adjacent cells and poor data retention due to contamination by killer elements and complex structures, although they may be required from a process integration perspective. It is difficult to effectively detect killer elements during the process, which can create or accelerate reliability failure. Several killer elements cause reliability degradation: F (fluorine), CI (Chlorine), local strains in the SiGe layers, and plasma-induced traps at the gate oxide interfaces. We find that an effective approach to prevent reliability failure is to monitor potential killer elements in the process, maintain them under threshold levels and screen out heavily contaminated wafers before wafer fab-out. This paper addresses the relationship between specific killer elements and reliability and reviews the enablers of inline metrology that can prevent reliability failure by early detection and monitoring of variation of killer elements in fabs.
可靠性挑战和在线计量——在先进设备中实现的有效方法
随着半导体器件尺寸的缩小,可靠性对工艺变化的敏感性增加。这一增长是由于先进系统应用的高可靠性要求,缩小工艺边际,以及设备对成分的高灵敏度。在工艺层面,特定的材料或工艺室可能会降低设备的可靠性,这是由相邻电池中的额外电荷陷阱和由于杀手元素和复杂结构污染而导致的数据保留不良引起的,尽管从工艺集成的角度来看,它们可能是必需的。在此过程中,难以有效地检测出致命因素,从而造成或加速可靠性失效。几个致命因素导致可靠性下降:F(氟)、CI(氯)、SiGe层中的局部应变和栅极氧化物界面上的等离子体诱导陷阱。我们发现防止可靠性失效的有效方法是监测过程中潜在的致命因素,将其维持在阈值水平以下,并在晶圆厂生产前筛选出严重污染的晶圆。本文讨论了特定关键因素与可靠性之间的关系,并回顾了在线计量的实现因素,这些因素可以通过早期检测和监测晶圆厂关键因素的变化来防止可靠性失效。
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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