Optical Microlithography XXI 2008
DOI: 10.1117/12.771961
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Hyper-NA imaging of 45nm node random CH layouts using inverse lithography

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Cited by 16 publications
(8 citation statements)
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“…Sub-resolution Assist Feature (SRAF) insertion using a mask synthesis process based on pixel-based mask optimization schemes known as inverse lithography (IL) has been studied [1] and experimented with in recent years for various lithographical schemes, including 6% attenuated PSM (AttPSM) with off-axis illumination such as Quasar [2]. Detailed experimental investigation on the application of inverse lithographical techniques for Quasar illumination with 6% as well as 30% AttPSM background was also conducted recently using AIMS TM -45 [3].…”
Section: Introductionmentioning
confidence: 99%
“…Sub-resolution Assist Feature (SRAF) insertion using a mask synthesis process based on pixel-based mask optimization schemes known as inverse lithography (IL) has been studied [1] and experimented with in recent years for various lithographical schemes, including 6% attenuated PSM (AttPSM) with off-axis illumination such as Quasar [2]. Detailed experimental investigation on the application of inverse lithographical techniques for Quasar illumination with 6% as well as 30% AttPSM background was also conducted recently using AIMS TM -45 [3].…”
Section: Introductionmentioning
confidence: 99%
“…To assess the impact of the simplification over the image quality, resultant process windows among these cases should be compared. Reference [7] looks into these questions, and finds that the impact of the simplification and MRC in terms of process windows is generally small. However, further improvements in this regard will be part of our future study.…”
Section: Mask Making Considerationmentioning
confidence: 99%
“…Commonly a resulting pattern is a sized original surrounded by assist features or a split original, which may be described as having inverted assist features. Further simplification through a post-processing layout clean-up provides printable patterns [3] without features that are too small or randomly oriented, that vary in complexity and fidelity.…”
Section: Ilt Overviewmentioning
confidence: 99%