2003
DOI: 10.1117/12.485541
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Process sensitivity and optimization with full and simplified resist models

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Cited by 6 publications
(4 citation statements)
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“…It would be important to compare these experimental results to sophisticated stochastic modeling within the reaction and diffusion parameter ranges guided by this work. First principles methods of evaluating and testing resist models are developed by the semiconductor industry ,,,, but lack the detailed materials constants and concentration profiles provided by neutron reflectivity experiments.…”
Section: Discussionmentioning
confidence: 99%
“…It would be important to compare these experimental results to sophisticated stochastic modeling within the reaction and diffusion parameter ranges guided by this work. First principles methods of evaluating and testing resist models are developed by the semiconductor industry ,,,, but lack the detailed materials constants and concentration profiles provided by neutron reflectivity experiments.…”
Section: Discussionmentioning
confidence: 99%
“…In simulations for resists at = 193 nm for instance usually a diffusion length L = 30 nm proves to be appropriate 10 though for some resists and processes L = 60 nm have been reported. 11 Using Eq. ͑23a͒ for spaces:…”
Section: Or Y Fadingmentioning
confidence: 99%
“…A second fundamental question for optimizing the control system is how the changes made actually affect CD uniformity across wafer in a real process. Various authors have developed models for studying the behavior of resist materials during PEB [5][6][7]. Some interesting work has also been published in modeling the transfer of heat within the hardware of the plate [8,9] in addition to experimental work regarding in-situ analysis [10].…”
Section: Optimization Of the Thermal Control System Of The Hotplatementioning
confidence: 99%