Datamining for yield

R. van Roijen, Jeffery B. Maxson, Michael Brodfuehrer, Bruce Dyer, Colleen Meagher, M. Dai, J. Ayala, Gasner Barthold, M. Steigerwalt, Lingjie Wang, David McCarthy, Trejo Rust, Randal Bakken
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Abstract

A small but persistent signal in wafer slot order was observed at functional test, affecting logic yield. Through wafer slot Randomization at several operations in the route a process step within high-k metal gate formation was suspected to be causing the degrade, but conventional approaches did not reveal the root cause. By combining datamining with a thorough analysis of sector and electrical data we identified a defect mechanism exacerbated by the delay between gate metal and polysilicon deposition. By applying a process change, we addressed the issue and achieved yield improvement.
对产量进行数据挖掘
在功能测试中观察到一个小而持久的晶圆槽顺序信号,影响逻辑良率。通过在路线中的几个操作中随机化晶圆槽,怀疑高k金属栅极形成中的一个工艺步骤导致了退化,但传统方法并没有揭示根本原因。通过将数据挖掘与扇形和电气数据的全面分析相结合,我们确定了由于栅金属和多晶硅沉积之间的延迟而加剧的缺陷机制。通过应用工艺变更,我们解决了这个问题并实现了产量的提高。
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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