Kinetic Monte Carlo simulation for the striation distribution of void defects in Czochralski silicon growth

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dc.contributor.authorLee, Sang Hunko
dc.contributor.authorOh, Hyun Jungko
dc.contributor.authorKim, DoHyunko
dc.date.accessioned2011-03-22T09:36:14Z-
dc.date.available2011-03-22T09:36:14Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2010-09-
dc.identifier.citationMOLECULAR SIMULATION, v.36, no.9, pp.663 - 669-
dc.identifier.issn0892-7022-
dc.identifier.urihttp://hdl.handle.net/10203/22901-
dc.description.abstractUnique crystal-originated pit (COP) distribution, similar to a striation pattern, is well matched with the oxygen profile in experimental analysis. It shows the strong relationship between oxygen concentration and COP distribution. In this paper, we study the generation of void defects and the relationship between interstitial oxygen and vacancy using the kinetic lattice Monte Carlo (KLMC) method. The KLMC method has been applied extensively in various forms to the study of micro-defects in silicon wafers. It explained well the formation of void defects such as vacancy-oxygen complex and vacancy-vacancy complex. The formation of clusters is strongly affected by oxygen concentration, which showed the relationship between COP distribution and oxygen concentration. The unique COP distribution could be correctly explained with KLMC results, and this kind of meso-scale results has not yet been reported.-
dc.description.sponsorshipWe are grateful to Hyon-Jong Cho and Jang-Sub Kim for their help in obtaining excellent experimental analysis results for Figures 1 and 2.en
dc.languageEnglish-
dc.language.isoen_USen
dc.publisherTAYLOR FRANCIS LTD-
dc.subjectINTERNALLY CONSISTENT APPROACH-
dc.subjectSOLID-STATE AGGREGATION-
dc.subjectINTERSTITIAL OXYGEN-
dc.subjectCRYSTAL-GROWTH-
dc.subjectDIFFUSION-
dc.subjectNUCLEATION-
dc.subjectEVOLUTION-
dc.subjectRING-
dc.subjectSI-
dc.titleKinetic Monte Carlo simulation for the striation distribution of void defects in Czochralski silicon growth-
dc.typeArticle-
dc.identifier.wosid000281083800004-
dc.identifier.scopusid2-s2.0-77955907829-
dc.type.rimsART-
dc.citation.volume36-
dc.citation.issue9-
dc.citation.beginningpage663-
dc.citation.endingpage669-
dc.citation.publicationnameMOLECULAR SIMULATION-
dc.identifier.doi10.1080/08927021003720512-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorKim, DoHyun-
dc.contributor.nonIdAuthorOh, Hyun Jung-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorMonte Carlo method-
dc.subject.keywordAuthorcomputer simulation-
dc.subject.keywordAuthordefect generation-
dc.subject.keywordAuthorpoint defects-
dc.subject.keywordAuthorsemiconducting silicon-
dc.subject.keywordPlusINTERNALLY CONSISTENT APPROACH-
dc.subject.keywordPlusSOLID-STATE AGGREGATION-
dc.subject.keywordPlusINTERSTITIAL OXYGEN-
dc.subject.keywordPlusCRYSTAL-GROWTH-
dc.subject.keywordPlusDIFFUSION-
dc.subject.keywordPlusNUCLEATION-
dc.subject.keywordPlusEVOLUTION-
dc.subject.keywordPlusRING-
dc.subject.keywordPlusSI-
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