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Virtual Metrology in RTP with WISR

Authors: Wolfgang R. Aderhold; Ilias Iliopoulos; Aaron Muir Hunter;

Virtual Metrology in RTP with WISR

Abstract

The Applied Materials RTP systems are unique in providing high resolution process data particularly lamp power and temperature as a function of radial position and time. This work explores how these data can be exploited to predict on-wafer process results using an SPC analysis package named WISR. WISR is an advanced process control platform for collection, storage, visualization, and analysis of data from process tools. The product is collecting data at rates up to 100Hz. It has the ability of notification and interdiction if data goes outside of specification. One of its main features is the ability to create virtual sensors. These are parameters that are derived from physical sensors and provide a statistical representation of the process health. The focus of this paper is the ability of WISR to transform the time series chamber data from the pyrometers into thermal wafer images at any time window during the recipe execution. We describe the data analysis that was deployed, and show how temperature maps generated correlate with metrology data from RTP processes. This is a disruptive new method to significantly save monitor wafer cost, enhance yield and prevent wafer processing errors.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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