Poster + Presentation + Paper
26 May 2022 A new development algorithm to optimize scanner alignment sampling for cross-chuck overlay performance optimization
Author Affiliations +
Conference Poster
Abstract
In a leading-edge high-volume manufacturing fab, lithographers focus on searching for a suitable alignment layout strategy to cover process-induced overlay variation. However, how to minimize scanner cross-chuck overlay impact also draws attention due to WPH loss from chuck dedication. In this paper we evaluate a novel algorithm to analyze lithography scanner process/metrology data and introduce a new KPI called “model accuracy” for alignment sampling layout strategy creation, which takes into account robustness index as wafer-to-wafer/chuck-to-chuck variation. Combined with simulated overlay performance, an optimal alignment layout strategy is recommended for a maximum coverage of cross-chuck overlay, which leads to maximum productivity.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chieh-Chen Chiu, Feng Tian, Wei Feng, Mingqi Gao, Andy Lan, Chao-Jen Tsou, Shengyuan Zhong, Norman Birnstein, Robin Maximilian Zech, Clemens Utzny, Jin Zhu, Jincheng Pei, and Kevin Huang "A new development algorithm to optimize scanner alignment sampling for cross-chuck overlay performance optimization", Proc. SPIE 12053, Metrology, Inspection, and Process Control XXXVI, 1205329 (26 May 2022); https://doi.org/10.1117/12.2627283
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KEYWORDS
Optical alignment

Optimization (mathematics)

Scanners

Semiconducting wafers

Overlay metrology

Data modeling

Performance modeling

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