Presentation + Paper
28 March 2017 Level crossing methodology applied to line-edge roughness characterization
Author Affiliations +
Abstract
Stochastic-induced roughness of lithographic features continues to be of great concern due to its impact on semiconductor devices. In particular, rare events (large deviations in edge positions due to roughness) can cause catastrophic failure of a chip, but are hard to predict. Here, a new methodology, the level crossing method, is used to characterize the statistical behavior of edge roughness with the goal of predicting extreme events. Using experimental results from EUV lithography, the distribution of edge deviations was found to have tails significantly heavier than a normal distribution. While further work is required, these heavy tails could prove problematic when EUV is used in high volume manufacturing.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chris A. Mack, Timothy A. Brunner, Xuemei Chen, and Lei Sun "Level crossing methodology applied to line-edge roughness characterization", Proc. SPIE 10145, Metrology, Inspection, and Process Control for Microlithography XXXI, 101450Z (28 March 2017); https://doi.org/10.1117/12.2258602
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Metrology

Edge roughness

Computer simulations

Edge detection

Line edge roughness

Scanning electron microscopy

Error analysis

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