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dc.contributor.authorTeh, Weng Hong
dc.contributor.authorBoning, Duane S
dc.contributor.authorWelsch, Roy E
dc.date.accessioned2019-03-06T17:58:14Z
dc.date.available2019-03-06T17:58:14Z
dc.date.issued2015-05
dc.date.submitted2015-02
dc.identifier.issn2158-3226
dc.identifier.urihttp://hdl.handle.net/1721.1/120759
dc.description.abstractWe report the extension of multi-strata subsurface infrared (1.342 μm) pulsed laser die singulation to the fabrication of defect-free ultra-thin stacked memory dies. We exploit the multi-strata interactions between generated thermal shockwaves and the preceding high dislocation density layers formed to initiate crack fractures that separate the individual dies from within the interior of the die. We show that optimized inter-strata distances between the high dislocation density layers together with effective laser energy dose can be used to compensate for the high backside reflectance (up to ∼ 82%) wafers. This work has successfully demonstrated defect-free eight die stacks of 25 μm thick mechanically functional and 46 μm thick electrically functional memory dies.en_US
dc.description.sponsorshipSandisk SemiConductor Shanghai Co Ltd.en_US
dc.description.sponsorshipLeaders for Global Operations Programen_US
dc.description.sponsorshipNoyce Foundation (Robert N. Noyce full scholarship)en_US
dc.publisherAIP Publishingen_US
dc.relation.isversionofhttp://dx.doi.org/10.1063/1.4921205en_US
dc.rightsCreative Commons Attribution 3.0 unported licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/en_US
dc.sourceAmerican Institute of Physics (AIP)en_US
dc.titleMulti-strata subsurface laser die singulation to enable defect-free ultra-thin stacked memory diesen_US
dc.typeArticleen_US
dc.identifier.citationTeh, W. H., D. Boning, and R. Welsch. “Multi-Strata Subsurface Laser Die Singulation to Enable Defect-Free Ultra-Thin Stacked Memory Dies.” AIP Advances 5, no. 5 (May 2015): 057128.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Urban Studies and Planningen_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Societyen_US
dc.contributor.departmentSloan School of Managementen_US
dc.contributor.mitauthorTeh, Weng Hong
dc.contributor.mitauthorBoning, Duane S
dc.contributor.mitauthorWelsch, Roy E
dc.relation.journalAIP Advancesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2019-03-06T13:51:27Z
dspace.orderedauthorsTeh, W. H.; Boning, D.; Welsch, R.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-0417-445X
dc.identifier.orcidhttps://orcid.org/0000-0002-9038-1622
mit.licensePUBLISHER_CCen_US


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