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Ferroelectric Field-Effect-Transistor Integrated with Ferroelectrics Heterostructure

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dc.contributor.authorBaek, Sungpyo-
dc.contributor.authorYoo, Hyun Ho-
dc.contributor.authorJu, Jae Hyeok-
dc.contributor.authorSriboriboon, Panithan-
dc.contributor.authorSingh, Prashant-
dc.contributor.authorNiu, Jingjie-
dc.contributor.authorPark, Jin-Hong-
dc.contributor.authorShin, Changhwan-
dc.contributor.authorKim, Yunseok-
dc.contributor.authorLee, Sungjoo-
dc.date.accessioned2022-06-12T17:40:28Z-
dc.date.available2022-06-12T17:40:28Z-
dc.date.created2022-06-09-
dc.date.issued2022-07-
dc.identifier.issn2198-3844-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/142161-
dc.description.abstractTo address the demands of emerging data-centric computing applications, ferroelectric field-effect transistors (Fe-FETs) are considered the forefront of semiconductor electronics owing to their energy and area efficiency and merged logic-memory functionalities. Herein, the fabrication and application of an Fe-FET, which is integrated with a van der Waals ferroelectrics heterostructure (CuInP2S6/alpha-In2Se3), is reported. Leveraging enhanced polarization originating from the dipole coupling of CIPS and alpha-In2Se3, the fabricated Fe-FET exhibits a large memory window of 14.5 V at V-GS = +/- 10 V, reaching a memory window to sweep range of approximate to 72%. Piezoelectric force microscopy measurements confirm the enhanced polarization-induced wider hysteresis loop of the double-stacked ferroelectrics compared to single ferroelectric layers. The Landau-Khalatnikov theory is extended to analyze the ferroelectric characteristics of a ferroelectric heterostructure, providing detailed explanations of the hysteresis behaviors and enhanced memory window formation. The fabricated Fe-FET shows nonvolatile memory characteristics, with a high on/off current ratio of over 10(6), long retention time (>10(4) s), and stable cyclic endurance (>10(4) cycles). Furthermore, the applicability of the ferroelectrics heterostructure is investigated for artificial synapses and for hardware neural networks through training and inference simulation. These results provide a promising pathway for exploring low-dimensional ferroelectronics.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherWILEY-
dc.subjectSYNAPSE-
dc.titleFerroelectric Field-Effect-Transistor Integrated with Ferroelectrics Heterostructure-
dc.typeArticle-
dc.contributor.affiliatedAuthorShin, Changhwan-
dc.identifier.doi10.1002/advs.202200566-
dc.identifier.scopusid2-s2.0-85132597634-
dc.identifier.wosid000795757900001-
dc.identifier.bibliographicCitationADVANCED SCIENCE, v.9, no.21-
dc.relation.isPartOfADVANCED SCIENCE-
dc.citation.titleADVANCED SCIENCE-
dc.citation.volume9-
dc.citation.number21-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
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.keywordPlusSYNAPSE-
dc.subject.keywordAuthorferroelectric semiconductors-
dc.subject.keywordAuthorferroelectronics-
dc.subject.keywordAuthorvan der Waals ferroelectric heterostructures-
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