Poster + Presentation + Paper
22 February 2021 Accuracy enhancement in imaging-based overlay metrology by optimizing measurement conditions per layer
Shlomit Katz, Yoav Grauer, Raviv Yohanan, Xiaolei Liu, Daria Negri, Anna Golotsvan
Author Affiliations +
Conference Poster
Abstract
On product overlay (OPO) challenges continue to be yield limiters for most advanced technology nodes, requiring new and innovative metrology solutions. In this paper we will cover an approach to boost accuracy and robustness to process variation in imaging-based overlay (IBO) metrology by leveraging optimized measurement conditions per alignment layer. Results apply to both DUV and EUV lithography for advanced Logic, DRAM, 3D NAND and emerging memory devices. Such an approach fuses multi-signal information including Color Per Layer (CPL) and focus per layer. This approach with supporting algorithms strives to identify and address sources of measurement inaccuracy to enable tight OPO, improve accuracy stability and reduce overlay (OVL) residual error within the wafer and across lots. In this paper, we will present a theoretical overview, supporting simulations and measured data for multiple technology segments. Lastly, a discussion about next steps and future development will take place.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shlomit Katz, Yoav Grauer, Raviv Yohanan, Xiaolei Liu, Daria Negri, and Anna Golotsvan "Accuracy enhancement in imaging-based overlay metrology by optimizing measurement conditions per layer", Proc. SPIE 11611, Metrology, Inspection, and Process Control for Semiconductor Manufacturing XXXV, 116112O (22 February 2021); https://doi.org/10.1117/12.2583615
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KEYWORDS
Overlay metrology

Computer simulations

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