Power-Delay Area-Efficient Processing-In-Memory Based on Nanocrystalline Hafnia Ferroelectric Field-Effect Transistors

Cited 11 time in webofscience Cited 0 time in scopus
  • Hit : 790
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorKim, Giukko
dc.contributor.authorKo, Dong Hanko
dc.contributor.authorKim, Taehoko
dc.contributor.authorLee, Sanghoko
dc.contributor.authorJung, Minhyunko
dc.contributor.authorLee, Young Kyuko
dc.contributor.authorLim, Seheeko
dc.contributor.authorJo, Minyoungko
dc.contributor.authorEom, Taehyongko
dc.contributor.authorShin, Hunbeomko
dc.contributor.authorJeong, Yeongseokko
dc.contributor.authorJung, Seongookko
dc.contributor.authorJeon, Sanghunko
dc.date.accessioned2023-02-14T07:01:14Z-
dc.date.available2023-02-14T07:01:14Z-
dc.date.created2023-01-16-
dc.date.issued2023-01-
dc.identifier.citationACS APPLIED MATERIALS & INTERFACES, v.15, no.1, pp.1463 - 1474-
dc.identifier.issn1944-8244-
dc.identifier.urihttp://hdl.handle.net/10203/305177-
dc.description.abstractFerroelectric field-effect transistors (FeFETs) have attracted enormous attention for low-power and high-density nonvolatile memory devices in processing-in memory (PIM). However, their small memory window (MW) and limited endurance severely degrade the area efficiency and reliability of PIM devices. Herein, we overcome such challenges using key approaches covering from the material to the device and array architecture. High ferroelectricity was successfully demonstrated considering the thermodynamics and kinetics, even in a relatively thick (>= 30 nm) ferroelectric material that was unexplored so far. Moreover, we employed a metal-ferroelectric-metal- insulator-semiconductor architecture that enabled desirable voltage division between the ferroelectric and the metal-oxide-semiconductor FET, leading to a large MW (-11 V), fast operation speed (<20 ns), and high endurance (-1011 cycles) characteristics. Subsequently, reliable and energy-efficient multiply-and-accumulation (MAC) operations were verified using a fabricated FeFET-PIM array. Furthermore, a system-level simulation demonstrated the high energy efficiency of the FeFET-PIM array, which was attributed to charge-domain computing. Finally, the proposed signed weight MAC computation achieved high accuracy on the CIFAR-10 dataset using the VGG-8 network.-
dc.languageEnglish-
dc.publisherAMER CHEMICAL SOC-
dc.titlePower-Delay Area-Efficient Processing-In-Memory Based on Nanocrystalline Hafnia Ferroelectric Field-Effect Transistors-
dc.typeArticle-
dc.identifier.wosid000906544700001-
dc.identifier.scopusid2-s2.0-85145457557-
dc.type.rimsART-
dc.citation.volume15-
dc.citation.issue1-
dc.citation.beginningpage1463-
dc.citation.endingpage1474-
dc.citation.publicationnameACS APPLIED MATERIALS & INTERFACES-
dc.identifier.doi10.1021/acsami.2c14867-
dc.contributor.localauthorJeon, Sanghun-
dc.contributor.nonIdAuthorKo, Dong Han-
dc.contributor.nonIdAuthorKim, Taeho-
dc.contributor.nonIdAuthorLee, Young Kyu-
dc.contributor.nonIdAuthorLim, Sehee-
dc.contributor.nonIdAuthorJo, Minyoung-
dc.contributor.nonIdAuthorEom, Taehyong-
dc.contributor.nonIdAuthorShin, Hunbeom-
dc.contributor.nonIdAuthorJeong, Yeongseok-
dc.contributor.nonIdAuthorJung, Seongook-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorprocessing in-memory-
dc.subject.keywordAuthorenergy efficiency-
dc.subject.keywordAuthorarea efficiency-
dc.subject.keywordAuthormemory window-
dc.subject.keywordAuthorendurance-
dc.subject.keywordAuthorFeFETs-
dc.subject.keywordPlusMULTIBIT INPUT-
dc.subject.keywordPlusMACRO-
dc.subject.keywordPlusSRAM-
dc.subject.keywordPlusCOMPUTATION-
dc.subject.keywordPlusWEIGHT-
dc.subject.keywordPlusENERGY-
dc.subject.keywordPlusARRAY-
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 11 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0