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Prediction of Electric Field Effects on Defect-Free Self-Assembled Nano-Patterning of Block Copolymer

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dc.contributor.authorKim, Sang-Kon-
dc.date.available2021-03-17T09:44:32Z-
dc.date.created2020-07-06-
dc.date.issued2016-03-
dc.identifier.issn1533-4880-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/13410-
dc.description.abstractFor future semiconductor device scaling, self-assembly, directed self-assembly (DSA) of block copolymers (BCPs), is a promising method with simplified processing conditions; however, critical challenge is defect control for fine pattern. Electric field is a method for the defect control. In this paper, for electric field effects to jog defects, the electric field induced self-assembled patterns is modeled and simulated by using the Monte Carlo method of dielectric polymers, the self-consistentfield theory (SCFT), and the Navier-Stokes equation. Electric field effects are quantified by using defect degree. Defective patterns are forced to undergo a phase transition to lamellar phase under electric field. For the high electric field, the excess free energy for the defect-free state becomes small. Simulation results can help to optimize electric field and process time in terms of defect area.-
dc.language영어-
dc.language.isoen-
dc.publisherAMER SCIENTIFIC PUBLISHERS-
dc.subjectLITHOGRAPHY-
dc.subjectORDER-
dc.titlePrediction of Electric Field Effects on Defect-Free Self-Assembled Nano-Patterning of Block Copolymer-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Sang-Kon-
dc.identifier.doi10.1166/jnn.2016.11082-
dc.identifier.scopusid2-s2.0-84960385250-
dc.identifier.wosid000374153800086-
dc.identifier.bibliographicCitationJOURNAL OF NANOSCIENCE AND NANOTECHNOLOGY, v.16, no.3, pp.2706 - 2709-
dc.relation.isPartOfJOURNAL OF NANOSCIENCE AND NANOTECHNOLOGY-
dc.citation.titleJOURNAL OF NANOSCIENCE AND NANOTECHNOLOGY-
dc.citation.volume16-
dc.citation.number3-
dc.citation.startPage2706-
dc.citation.endPage2709-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryChemistry, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryNanoscience & Nanotechnology-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.relation.journalWebOfScienceCategoryPhysics, Condensed Matter-
dc.subject.keywordPlusLITHOGRAPHY-
dc.subject.keywordPlusORDER-
dc.subject.keywordAuthorLithography-
dc.subject.keywordAuthorLithography Simulation-
dc.subject.keywordAuthorSelf-Assembly-
dc.subject.keywordAuthorMonte Carlo Method-
dc.subject.keywordAuthorSelf-Consistent-Field Theory-
dc.subject.keywordAuthorElectrohydrodynamic Lithography-
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