Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Modeling and Simulation of Line Edge Roughness for EUV Resists

Full metadata record
DC Field Value Language
dc.contributor.author김상곤-
dc.date.accessioned2021-11-25T04:43:58Z-
dc.date.available2021-11-25T04:43:58Z-
dc.date.created2021-11-23-
dc.date.issued2014-
dc.identifier.issn1598-1657-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/18797-
dc.description.abstractWith the extreme ultraviolet (EUV) lithography, the performance limit of chemically amplified resists has recently been extended to 16- and 11-nm nodes. However, the line edge roughness (LER) and the line width roughness (LWR) are not reduced automatically with this performance extension. In this paper, to investigate the impacts of the EUVL mask and the EUVL exposure process on LER, EUVL is modeled using multilayer-thin-film theory for the mask structure and the Monte Carlo (MC) method for the exposure process. Simulation results demonstrate how LERs of the mask transfer to the resist and the exposure process develops the resist LERs.-
dc.language영어-
dc.language.isoen-
dc.publisher대한전자공학회-
dc.titleModeling and Simulation of Line Edge Roughness for EUV Resists-
dc.title.alternativeModeling and Simulation of Line Edge Roughness for EUV Resists-
dc.typeArticle-
dc.contributor.affiliatedAuthor김상곤-
dc.identifier.bibliographicCitationJOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE, v.14, no.1, pp.61 - 69-
dc.relation.isPartOfJOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE-
dc.citation.titleJOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE-
dc.citation.volume14-
dc.citation.number1-
dc.citation.startPage61-
dc.citation.endPage69-
dc.type.rimsART-
dc.identifier.kciidART001850485-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorLithography-
dc.subject.keywordAuthorlithography simulation-
dc.subject.keywordAuthorLER-
dc.subject.keywordAuthorEUVL-
dc.subject.keywordAuthorEUV mask-
dc.subject.keywordAuthorMonte Carlo-
Files in This Item
There are no files associated with this item.
Appears in
Collections
Department of General Studies > Department of General Studies > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher kim, sang-kon photo

kim, sang-kon
Department of General Studies (Department of General Studies)
Read more

Altmetrics

Total Views & Downloads

BROWSE