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Polarization-controlled memristive synapse characteristics of HfZrO2-based ferroelectric switchable diode
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, Youngmin | - |
| dc.contributor.author | Lee, Sejoon | - |
| dc.date.accessioned | 2025-08-18T07:00:10Z | - |
| dc.date.available | 2025-08-18T07:00:10Z | - |
| dc.date.issued | 2025-08 | - |
| dc.identifier.issn | 0925-8388 | - |
| dc.identifier.issn | 1873-4669 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/58972 | - |
| dc.description.abstract | To realize artificial synapse functionalities using precisely controllable resistance-switching characteristics in electronic synaptic devices, we demonstrated diverse and efficient synaptic functions on a two-terminal device architecture of the Au/HfZrO2/Pt ferroelectric switchable diode. The ferroelectric properties of the HfZrO2 active layer were enhanced by forming a crystallographic orthorhombic phase, which was associated with an increased oxygen vacancy density. The fabricated device exhibited distinct asymmetric hysteresis behavior, attributed to the switchable diode effect resulting from ferroelectric polarization-induced modulation of the Schottky barrier height. This polarization-mediated barrier modulation enabled systematic tuning of the on-state current values by varying the sweep time duration. These finely tunable resistive-switching characteristics allowed the fabricated device to effectively emulate biological synaptic functions. Controlled time intervals and pulse durations in repetitive pulse schemes provided a straightforward method to improve both the linearity and symmetry of long-term memory characteristics, thereby enhancing learning accuracy and training efficiency. Furthermore, this approach facilitated metaplasticity in spike-timing-dependent plasticity, corresponding to the learning activity of the electronic synapse. These findings underscore the significant potential of the Au/HfZrO2/Pt ferroelectric switchable diode for applications in neuromorphic computing systems. © 2025 Elsevier B.V. | - |
| dc.format.extent | 14 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Elsevier Ltd | - |
| dc.title | Polarization-controlled memristive synapse characteristics of HfZrO2-based ferroelectric switchable diode | - |
| dc.type | Article | - |
| dc.publisher.location | 네델란드 | - |
| dc.identifier.doi | 10.1016/j.jallcom.2025.182700 | - |
| dc.identifier.scopusid | 2-s2.0-105012731949 | - |
| dc.identifier.wosid | 001556589900001 | - |
| dc.identifier.bibliographicCitation | Journal of Alloys and Compounds, v.1038, pp 1 - 14 | - |
| dc.citation.title | Journal of Alloys and Compounds | - |
| dc.citation.volume | 1038 | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 14 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Chemistry | - |
| dc.relation.journalResearchArea | Materials Science | - |
| dc.relation.journalResearchArea | Metallurgy & Metallurgical Engineering | - |
| dc.relation.journalWebOfScienceCategory | Chemistry, Physical | - |
| dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
| dc.relation.journalWebOfScienceCategory | Metallurgy & Metallurgical Engineering | - |
| dc.subject.keywordAuthor | Ferroelectric switchable diode | - |
| dc.subject.keywordAuthor | HfZrO<sub>2</sub> | - |
| dc.subject.keywordAuthor | Schottky barrier modulation | - |
| dc.subject.keywordAuthor | Synaptic device | - |
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