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Dual-Phase All-Inorganic Cesium Halide Perovskites for Conducting-Bridge Memory-Based Artificial Synapses

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dc.contributor.authorKim, Sun Gil-
dc.contributor.authorQuyet Van Le-
dc.contributor.authorHan, Ji Su-
dc.contributor.authorKim, Hyojung-
dc.contributor.authorChoi, Min-Ju-
dc.contributor.authorLee, Sol A.-
dc.contributor.authorKim, Taemin Ludvic-
dc.contributor.authorKim, Sang Bum-
dc.contributor.authorKim, Soo Young-
dc.contributor.authorJang, Ho Won-
dc.date.accessioned2021-08-31T22:41:43Z-
dc.date.available2021-08-31T22:41:43Z-
dc.date.created2021-06-19-
dc.date.issued2019-12-
dc.identifier.issn1616-301X-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/61368-
dc.description.abstractNeuromorphic computing, which mimics biological neural networks, can overcome the high-power and large-throughput problems of current von Neumann computing. Two-terminal memristors are regarded as promising candidates for artificial synapses, which are the fundamental functional units of neuromorphic computing systems. All-inorganic CsPbI3 perovskite-based memristors are feasible to use in resistive switching memory and artificial synapses due to their fast ion migration. However, the ideal perovskite phase alpha-CsPbI3 is structurally unstable at ambient temperature and rapidly degrades to a non-perovskite delta-CsPbI3 phase. Here, dual-phase (Cs3Bi2I9)(0.4)-(CsPbI3)(0.6) is successfully fabricated to achieve improved air stability and surface morphology compared to each single phase. Notably, the Ag/polymethylmethacrylate/(Cs3Bi2I9)(0.4)-(CsPbI3)(0.6)/Pt device exhibits non-volatile memory functions with an endurance of approximate to 10(3) cycles and retention of approximate to 10(4) s with low operation voltages. Moreover, the device successfully emulates synaptic behavior such as long-term potentiation/depression and spike timing/width-dependent plasticity. This study will contribute to improving the structural and mechanical stability of all-inorganic halide perovskites (IHPs) via the formation of dual phase. In addition, it proves the great potential of IHPs for use in low-power non-volatile memory devices and electronic synapses.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherWILEY-V C H VERLAG GMBH-
dc.subjectRESISTIVE SWITCHING MEMORIES-
dc.subjectLEAD IODIDE-
dc.subjectMECHANISMS-
dc.subjectDEVICE-
dc.subjectALPHA-CSPBI3-
dc.subjectDIFFUSION-
dc.titleDual-Phase All-Inorganic Cesium Halide Perovskites for Conducting-Bridge Memory-Based Artificial Synapses-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Soo Young-
dc.identifier.doi10.1002/adfm.201906686-
dc.identifier.scopusid2-s2.0-85073937615-
dc.identifier.wosid000488164100001-
dc.identifier.bibliographicCitationADVANCED FUNCTIONAL MATERIALS, v.29, no.49-
dc.relation.isPartOfADVANCED FUNCTIONAL MATERIALS-
dc.citation.titleADVANCED FUNCTIONAL MATERIALS-
dc.citation.volume29-
dc.citation.number49-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryChemistry, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryChemistry, Physical-
dc.relation.journalWebOfScienceCategoryNanoscience & Nanotechnology-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.relation.journalWebOfScienceCategoryPhysics, Condensed Matter-
dc.subject.keywordPlusRESISTIVE SWITCHING MEMORIES-
dc.subject.keywordPlusLEAD IODIDE-
dc.subject.keywordPlusMECHANISMS-
dc.subject.keywordPlusDEVICE-
dc.subject.keywordPlusALPHA-CSPBI3-
dc.subject.keywordPlusDIFFUSION-
dc.subject.keywordAuthorall-inorganic halide perovskites-
dc.subject.keywordAuthorartificial synapses-
dc.subject.keywordAuthorelectrochemical metallization-
dc.subject.keywordAuthorneuromorphic computing-
dc.subject.keywordAuthorresistive switching memory-
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