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Datamining for yield

机译:数据挖掘以提高产量

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摘要

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.
机译:在功能测试中,观察到一个小但持续的信号(按晶圆缝隙顺序),影响了逻辑良率。通过在该路径中的几个操作中通过晶圆缝隙随机化,怀疑在高k金属栅极形成过程中的一个工艺步骤会导致性能下降,但是传统方法并未揭示根本原因。通过将数据挖掘与对扇区和电数据的透彻分析相结合,我们确定了由于栅极金属和多晶硅沉积之间的延迟而加剧的缺陷机制​​。通过应用流程更改,我们解决了该问题并提高了产量。

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