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Enabling scalable ferroelectric-based future generation vertical NAND flash with bonding-friendly architecture: strategies for erase and disturb optimization

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dc.contributor.authorSong, Ickhyun-
dc.contributor.authorKim, Juhyun-
dc.contributor.authorLee, Seungmin-
dc.contributor.authorMyeong, Ilho-
dc.date.accessioned2026-03-25T01:30:36Z-
dc.date.available2026-03-25T01:30:36Z-
dc.date.issued2026-02-
dc.identifier.issn2516-0230-
dc.identifier.issn2516-0230-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211560-
dc.description.abstractWe propose a novel ferroelectric VNAND (Fe-VNAND) architecture based on a TCAT (Terabit Cell Array Transistor) structure, integrating an amorphous IGZO channel and a band-engineered filler insulator for enhanced erase and disturbance characteristics. To overcome the limitations of poor hole transport in IGZO, a tailored erase (ERS) scheme employing stepped dummy word-line biasing is introduced, which effectively mitigates over-erasure at the bottom of the NAND string and enables reliable bitline sensing. By optimizing the doping overlap of the source line (LOV) and operating the select word-line at low voltage (3 V), we demonstrate significantly reduced read disturbance and improved threshold voltage uniformity. Furthermore, the application of a band-engineered oxide/nitride filler structure enhances hole injection during ERS, leading to a 30% increase in memory window and a two-order-of-magnitude improvement in erase speed. Our findings suggest that the proposed structure and scheme are highly compatible with existing TCAT flows and scalable to future high-density ferroelectric memory systems. These innovations pave the way for energy-efficient, disturbance-tolerant 3D Fe-VNAND applicable to AI accelerators and edge computing platforms.-
dc.format.extent11-
dc.language영어-
dc.language.isoENG-
dc.publisherROYAL SOC CHEMISTRY-
dc.titleEnabling scalable ferroelectric-based future generation vertical NAND flash with bonding-friendly architecture: strategies for erase and disturb optimization-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1039/d5na00844a-
dc.identifier.scopusid2-s2.0-105027035292-
dc.identifier.wosid001658104900001-
dc.identifier.bibliographicCitationNANOSCALE ADVANCES, v.8, no.4, pp 1240 - 1250-
dc.citation.titleNANOSCALE ADVANCES-
dc.citation.volume8-
dc.citation.number4-
dc.citation.startPage1240-
dc.citation.endPage1250-
dc.type.docTypeArticle in press-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalWebOfScienceCategoryChemistry, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryNanoscience & Nanotechnology-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.subject.keywordPlusFET-
dc.identifier.urlhttps://pubs.rsc.org/en/content/articlelanding/2026/na/d5na00844a-
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COLLEGE OF ENGINEERING (SCHOOL OF ELECTRONIC ENGINEERING)
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