Improved Stability and Controllability in ZrN-Based Resistive Memory Device by Inserting TiO2 Layeropen access
- Authors
- Choi, Junhyeok; Kim, Sungjun
- Issue Date
- Oct-2020
- Publisher
- MDPI
- Keywords
- memristor; neuromorphic computing; resistive switching; zirconium nitride
- Citation
- MICROMACHINES, v.11, no.10
- Indexed
- SCIE
SCOPUS
- Journal Title
- MICROMACHINES
- Volume
- 11
- Number
- 10
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/6086
- DOI
- 10.3390/mi11100905
- ISSN
- 2072-666X
2072-666X
- 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.
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Collections - College of Engineering > Department of Electronics and Electrical Engineering > 1. Journal Articles

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