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dc.contributor.authorKıncal, S.
dc.contributor.authorBaşım, Gül Bahar
dc.date.accessioned2016-02-17T06:33:26Z
dc.date.available2016-02-17T06:33:26Z
dc.date.issued2013
dc.identifier.issn1938-5862
dc.identifier.urihttp://hdl.handle.net/10679/2783
dc.identifier.urihttp://ecst.ecsdl.org/content/50/39/83.abstract
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstractChemical Mechanical Planarization process has a proven track record as an effective method for planarizing the wafer surface at multiple points of the semiconductor manufacturing flow. One of the most challenging aspects of the CMP process, particularly in applications like Shallow Trench Isolation (STI), is the difference in relative removal rates of the different materials that are being polished. A certain amount of over-polish is required to clear oxide on top of the nitride, however, this over-polish may also lead to significant problems like dishing and erosion (introducing additional topography after the film has been planarized). This work formulates a methodology to predict how this additional topography is modulated by incoming layout properties introducing a parameter to accurately characterize line and space width on a layout with random geometric shapes.
dc.language.isoengen_US
dc.publisherECS
dc.relation.ispartofECS Transactions
dc.rightsrestrictedAccess
dc.titleA modeling study on the layout impact of with-in-die thickness range for STI CMPen_US
dc.typeConference paperen_US
dc.peerreviewedyes
dc.publicationstatuspublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-2049-4410 & YÖK ID 124618) Başım, Bahar
dc.contributor.ozuauthorBaşım, Gül Bahar
dc.identifier.volume50
dc.identifier.issue39
dc.identifier.startpage83
dc.identifier.endpage89
dc.identifier.wosWOS:000338313100008
dc.identifier.doi10.1149/05039.0083ecst
dc.subject.keywordsChemical-mechanical planarization
dc.subject.keywordsShallow-trench isolation
dc.subject.keywordsOptimization
dc.identifier.scopusSCOPUS:2-s2.0-84885696567
dc.contributor.authorFemale1
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff


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