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 Endpoint Detection for CMP using Acoustic Emission 

 Andrew Chang 

Sponsored By: UC-SMART #97-01 

Abstract 

Currently, an investigation on acoustic emission (AE) sensing strategies for chemical-mechanical polishing (CMP) monitoring is underway. A unique signal processing technique that involves a time-averaged comparison of high to low frequency events, AE ratioing, is being evaluated. With a sensor coupled to the backside of the wafer, preliminary results show that AE ratios can differentiate polishing between oxide and bare silicon wafers. A sensitivity investigation will be performed to compare different CMP operating conditions such as metal polishing, IC pattern dependency, and the effects of different CMP consumable sets. This new methodology shows potential for implementation in an endpoint detection (EPD) system. 

 

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