Defect detection strategies and process partitioning for SE EUV patterning

Luciana Meli; Karen Petrillo; Anuja De Silva; John Arnold; Nelson Felix; Chris Robinson; Benjamin Briggs; Shravan Matham; Yann Mignot; Jeffrey Shearer; Bassem Hamieh; Koichi Hontake; Lior Huli; Corey Lemley; Dave Hetzer; Eric Liu; Ko Akiteru; Shinichiro Kawakami; Takeshi Shimoaoki; Yusaku Hashimoto; Hiroshi Ichinomiya; Akiko Kai; Koichiro Tanaka; Ankit Jain; Heungsoo Choi; Barry Saville; Chet Lenox

doi:10.1117/12.2297362

28 March 2018 Defect detection strategies and process partitioning for SE EUV patterning

Luciana Meli, Karen Petrillo, Anuja De Silva, John Arnold, Nelson Felix, Chris Robinson, Benjamin Briggs, Shravan Matham, Yann Mignot, Jeffrey Shearer, Bassem Hamieh, Koichi Hontake, Lior Huli, Corey Lemley, Dave Hetzer, Eric Liu, Ko Akiteru, Shinichiro Kawakami, Takeshi Shimoaoki, Yusaku Hashimoto, Hiroshi Ichinomiya, Akiko Kai, Koichiro Tanaka, Ankit Jain, Heungsoo Choi, Barry Saville, Chet Lenox

Author Affiliations +

Proceedings Volume 10583, Extreme Ultraviolet (EUV) Lithography IX; 105830E (2018) https://doi.org/10.1117/12.2297362
Event: SPIE Advanced Lithography, 2018, San Jose, California, United States

Abstract

The key challenge for enablement of a 2^nd node of single-expose EUV patterning is understanding and mitigating the patterning-related defects that narrow the process window. Typical in-line inspection techniques, such as broadband plasma (291x) and e-beam systems, find it difficult to detect the main yield-detracting defects post-develop, and thus understanding the effects of process improvement strategies has become more challenging. New techniques and methodologies for detection of EUV lithography defects, along with judicious process partitioning, are required to develop process solutions that improve yield.

This paper will first discuss alternative techniques and methodologies for detection of lithography-related defects, such as scumming and microbridging. These strategies will then be used to gain a better understanding of the effects of material property changes, process partitioning, and hardware improvements, ultimately correlating them directly with electrical yield detractors .

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Luciana Meli, Karen Petrillo, Anuja De Silva, John Arnold, Nelson Felix, Chris Robinson, Benjamin Briggs, Shravan Matham, Yann Mignot, Jeffrey Shearer, Bassem Hamieh, Koichi Hontake, Lior Huli, Corey Lemley, Dave Hetzer, Eric Liu, Ko Akiteru, Shinichiro Kawakami, Takeshi Shimoaoki, Yusaku Hashimoto, Hiroshi Ichinomiya, Akiko Kai, Koichiro Tanaka, Ankit Jain, Heungsoo Choi, Barry Saville, and Chet Lenox "Defect detection strategies and process partitioning for SE EUV patterning", Proc. SPIE 10583, Extreme Ultraviolet (EUV) Lithography IX, 105830E (28 March 2018); https://doi.org/10.1117/12.2297362

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