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Characterization of optical proximity correction features

Authors: John A. Allgair; Michelle Ivy; Kevin Lucas; John L. Sturtevant; Richard C. Elliott; Chris A. Mack; Craig W. MacNaughton; +5 Authors

Characterization of optical proximity correction features

Abstract

One-dimensional linewidth alone is an inadequate metric for low-k1 lithography. Critical Dimension metrology and analysis have historically focused on 1-dimensional effects but with low-k1 lithography is has increasingly been found that the process window for acceptable imaging of the full 2D structure is more limited than the process window for CDs alone. The shape and area of the feature have become as critical to the proper patterning as the width. The measurement and analysis of Critical Shape Difference (CSD) of patterned features must be an integral part of process development efforts. Adoption of optical proximity correction (OPC) and other Optical Extension Technologies increases the need for understanding specific effects through the pattern transfer process. Sub-resolution features on the mask are intended to compensate the pattern so that the resulting etched features most accurately reflect the designer's intent and provide the optimum device performance. A method for quantifying the Critical Shape Difference between the designer's intent, OPC application, mask preparation, resist exposure and pattern etch has been developed. This work focuses on overlaying features from the various process stages and using CSD to quantify the regions of overlap in order to assess OPC performance. Specific examples will demonstrate the gap in current 1-D analysis techniques.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
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!
3
Average
Top 10%
Average
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