Detailed Information

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

Resist develop prediction by Monte Carlo simulation

Full metadata record
DC Field Value Language
dc.contributor.authorSohn, Dong-Soo-
dc.contributor.authorJeon, Kyoung-Ah-
dc.contributor.authorSohn, Young-Soo-
dc.contributor.authorOh, Hye-Keun-
dc.date.accessioned2021-06-24T01:03:42Z-
dc.date.available2021-06-24T01:03:42Z-
dc.date.issued2002-07-
dc.identifier.issn0277-786X-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/46845-
dc.description.abstractVarious resist develop models have been suggested to express the phenomena from the pioneering work of Dill's model in 1975 to the recent Shipley's enhanced notch model. The statistical Monte Carlo method can be applied to the process such as development and post exposure bake. The motions of developer during development process were traced by using this method. We have considered that the surface edge roughness of the resist depends on the weight percentage of protected and de-protected polymer in the resist. The results are well agreed with other papers. This study can be helpful for the developing of new photoresist and developer that can be used to pattern the device features smaller than 100 nm.-
dc.format.extent7-
dc.language영어-
dc.language.isoENG-
dc.publisherSociety of Photo-Optical Instrumentation Engineers, Bellingham, WA, United States-
dc.titleResist develop prediction by Monte Carlo simulation-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1117/12.474172-
dc.identifier.scopusid2-s2.0-0036028912-
dc.identifier.wosid000178056500105-
dc.identifier.bibliographicCitationProceedings of SPIE - The International Society for Optical Engineering, v.4690 II, pp 971 - 977-
dc.citation.titleProceedings of SPIE - The International Society for Optical Engineering-
dc.citation.volume4690 II-
dc.citation.startPage971-
dc.citation.endPage977-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaOptics-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalResearchAreaPolymer Science-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryOptics-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.relation.journalWebOfScienceCategoryPolymer Science-
dc.subject.keywordPlusComputer simulation-
dc.subject.keywordPlusLithography-
dc.subject.keywordPlusMonte Carlo methods-
dc.subject.keywordPlusPolymers-
dc.subject.keywordPlusSurface roughness-
dc.subject.keywordPlusPost exposure bake (PEB)-
dc.subject.keywordPlusPhotoresists-
dc.subject.keywordAuthor193 nm-
dc.subject.keywordAuthorCAR-
dc.subject.keywordAuthorDevelopment-
dc.subject.keywordAuthorLithography Simulation-
dc.subject.keywordAuthorMonte Carlo method-
dc.identifier.urlhttps://www.spiedigitallibrary.org/conference-proceedings-of-spie/4690/1/Resist-develop-prediction-by-Monte-Carlo-simulation/10.1117/12.474172.short-
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY > DEPARTMENT OF APPLIED PHYSICS > 1. Journal Articles

qrcode

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

Altmetrics

Total Views & Downloads

BROWSE