12 November 2019 Focus leveling improvement using optimized wafer edge settings
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Abstract

Background: To reduce defocus from leveling errors at the wafer edge, modern exposure tools offer a broad range of advanced leveling controls. These additional degrees of freedom offer better leveling performance, but users hesitate to spend the tool time, wafers, and engineering hours necessary to find and maintain the optimal settings experimentally.

Aim: In order to fully explore the potential of advanced leveling controls, an automated, fast simulation method should be introduced.

Approach: Alternative set-point curves and resulting focus residuals are simulated from existing wafer height maps. Optimizations are carried out to obtain the best edge exclusion settings for several dynamic random access memory and NAND flash memory products, across different layers and exposure tools. The simulated focus errors are compared to the POR settings and verified with electrical results.

Results: An efficient optimization algorithm was demonstrated and significant leveling improvements found for a number of use cases. The resulting settings vary substantially between different products, layers, and exposure tools. The impact of the improved leveling performance is verified using electrical data.

Conclusions: The speed of the presented method proves crucial to help lithographers dial in and maintain numerous settings at optimal values across a typical production line.

© 2019 Society of Photo-Optical Instrumentation Engineers (SPIE) 1932-5150/2019/$28.00 © 2019 SPIE
Lucas Lamonds, Bryan Orf, Michael Frachel, Xaver Thrun, Georg Erley, Philip Groeger, Alexander Muehle, and Boris Habets "Focus leveling improvement using optimized wafer edge settings," Journal of Micro/Nanolithography, MEMS, and MOEMS 18(4), 043505 (12 November 2019). https://doi.org/10.1117/1.JMM.18.4.043505
Received: 23 May 2019; Accepted: 21 October 2019; Published: 12 November 2019
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KEYWORDS
Semiconducting wafers

Forward error correction

Sensors

Scanners

Optimization (mathematics)

Control systems

Contamination

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