Cited 9 time in
Improved Stability and Controllability in ZrN-Based Resistive Memory Device by Inserting TiO2 Layer
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Choi, Junhyeok | - |
| dc.contributor.author | Kim, Sungjun | - |
| dc.date.accessioned | 2023-04-27T21:40:43Z | - |
| dc.date.available | 2023-04-27T21:40:43Z | - |
| dc.date.issued | 2020-10 | - |
| dc.identifier.issn | 2072-666X | - |
| dc.identifier.issn | 2072-666X | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/6086 | - |
| dc.description.abstract | In this work, the enhanced resistive switching of ZrN-based resistive switching memory is demonstrated by embedding TiO2 layer between Ag top electrode and ZrN switching layer. The Ag/ZrN/n-Si device exhibits unstable resistive switching as a result of the uncontrollable Ag migration. Both unipolar and bipolar resistive switching with high RESET current were observed. Negative-SET behavior in the Ag/ZrN/n-Si device makes set-stuck, causing permanent resistive switching failure. On the other hand, the analogue switching in the Ag/TiO2/ZrN/n-Si device, which could be adopted for the multi-bit data storage applications, is obtained. The gradual switching in Ag/TiO2/ZrN/n-Si device is achieved, possibly due to the suppressed Ag diffusion caused by TiO2 inserting layer. The current-voltage (I-V) switching characteristics of Ag/ZrN/n-Si and Ag/TiO2/ZrN/n-Si devices can be well verified by pulse transient. Finally, we established that the Ag/TiO2/ZrN/n-Si device is suitable for neuromorphic application through a comparison study of conductance update. This paper paves the way for neuromorphic application in nitride-based memristor devices. | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | MDPI | - |
| dc.title | Improved Stability and Controllability in ZrN-Based Resistive Memory Device by Inserting TiO2 Layer | - |
| dc.type | Article | - |
| dc.publisher.location | 스위스 | - |
| dc.identifier.doi | 10.3390/mi11100905 | - |
| dc.identifier.scopusid | 2-s2.0-85092740760 | - |
| dc.identifier.wosid | 000582907500001 | - |
| dc.identifier.bibliographicCitation | MICROMACHINES, v.11, no.10 | - |
| dc.citation.title | MICROMACHINES | - |
| dc.citation.volume | 11 | - |
| dc.citation.number | 10 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Chemistry | - |
| dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
| dc.relation.journalResearchArea | Instruments & Instrumentation | - |
| dc.relation.journalResearchArea | Physics | - |
| dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
| dc.relation.journalWebOfScienceCategory | Nanoscience & Nanotechnology | - |
| dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
| dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
| dc.subject.keywordPlus | RANDOM-ACCESS MEMORY | - |
| dc.subject.keywordPlus | SWITCHING MEMORIES | - |
| dc.subject.keywordPlus | MEMRISTOR | - |
| dc.subject.keywordAuthor | memristor | - |
| dc.subject.keywordAuthor | neuromorphic computing | - |
| dc.subject.keywordAuthor | resistive switching | - |
| dc.subject.keywordAuthor | zirconium nitride | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
30, Pildong-ro 1-gil, Jung-gu, Seoul, 04620, Republic of Korea+82-2-2260-3114
Copyright(c) 2023 DONGGUK UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
