2007
DOI: 10.1117/12.712531
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Immersion defect reduction, part I: analysis of water leaks in an immersion scanner

Abstract: This paper reports the water-leakage mechanism of the immersion hood in an immersion scanner. The proposed static analysis reveals the immersion hood design performance in defect distribution. A dynamic water-leakage model traces the leaked water and identifies its position on the wafer, during exposure. Comparing simulation to experimental results on bare-silicon and resist-coated wafers, the defect type, source of residuals, and critical settings on the immersion system were clearly identified. 1.INTRODUCTIO… Show more

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Cited by 2 publications
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“…Immersion lithography is run at single-digit number of defects per wafer, with overlay and yield comparable to those of dry systems in the 90-and 65-nm nodes. Researchers in many disciplines contribute to the success, amongst them: Theological analysis in the early days of immersion lithography in DOF 43 , polarized illumination 44 , image deterioration by bubbles in immersion fluid 45 , and processing parameters for multiple technology nodes 46 ; materials work to reduce defects such as switchable BARC 47 , watermark reduction 48 , and immersion hood cleaning 49 ; process analysis such as algorithm 50 to pinpoint the location of particle leakage on the immersion hood, using super-positioned defect distribution chart, and speedy defect classification 51 . Figure 14 shows a super-positioned defect distribution chart with predicted particle leakage in red and actual particles in black.…”
Section: Status Of Lithography At Tsmcmentioning
confidence: 99%
“…Immersion lithography is run at single-digit number of defects per wafer, with overlay and yield comparable to those of dry systems in the 90-and 65-nm nodes. Researchers in many disciplines contribute to the success, amongst them: Theological analysis in the early days of immersion lithography in DOF 43 , polarized illumination 44 , image deterioration by bubbles in immersion fluid 45 , and processing parameters for multiple technology nodes 46 ; materials work to reduce defects such as switchable BARC 47 , watermark reduction 48 , and immersion hood cleaning 49 ; process analysis such as algorithm 50 to pinpoint the location of particle leakage on the immersion hood, using super-positioned defect distribution chart, and speedy defect classification 51 . Figure 14 shows a super-positioned defect distribution chart with predicted particle leakage in red and actual particles in black.…”
Section: Status Of Lithography At Tsmcmentioning
confidence: 99%