3D geometric engineering of the double wedge-like electrodes for filament-type RRAM device performance improvement
The resistive switching variability and reliability degradation are the two major challenges that hinder the high-volume production of the Resistive Random Access Memory (RRAM) devices. In this work, a 3D electrode structure engineering method is proposed. The geometric parameters defined as electro...
Saved in:
Main Authors: | , , , , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/145876 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-145876 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1458762021-01-13T04:26:58Z 3D geometric engineering of the double wedge-like electrodes for filament-type RRAM device performance improvement Sun, Jianxun Li, Yuanbo Ye, Yiyang Zhang, Jun Chong, Gang Yih Tan, Juan Boon Liu, Zhen Chen, Tupei School of Electrical and Electronic Engineering Nanyang Nanofabrication Centre Engineering::Electrical and electronic engineering Electrode Structure Engineering Resistive Switching Uniformity The resistive switching variability and reliability degradation are the two major challenges that hinder the high-volume production of the Resistive Random Access Memory (RRAM) devices. In this work, a 3D electrode structure engineering method is proposed. The geometric parameters defined as electrode angle (EA), electrodes spacing (ES) and electrode trench depth (ETD) associated with the double wedge-like electrodes of the filament-type RRAM devices are studied for the first time. Our experimental results show that apart from the resistive switching uniformity, the reliability performance such as cycling endurance and data retention are significantly improved for the device with small EA (90°), narrow ES (440 nm) and deep ETD (90 nm) owing to the electric field confinement and enhancement. Thus, this new approach can be served as a guideline for the design and optimization of the filament-type RRAM devices. Economic Development Board (EDB) National Research Foundation (NRF) Published version 2021-01-13T04:26:58Z 2021-01-13T04:26:58Z 2020 Journal Article Sun, J., Li, Y., Ye, Y., Zhang, J., Chong, G. Y., Tan, J. B., . . . Chen, T. (2020). 3D geometric engineering of the double wedge-like electrodes for filament-type RRAM device performance improvement. IEEE Access, 8, 4924-4934. doi:10.1109/ACCESS.2019.2962869 2169-3536 0000-0003-0527-1152 0000-0002-0582-4290 0000-0003-0215-8736 0000-0002-7472-8905 0000-0002-4597-6504 0000-0003-2116-6459 0000-0002-2445-9962 0000-0002-1098-9575 https://hdl.handle.net/10356/145876 10.1109/ACCESS.2019.2962869 2-s2.0-85078415398 8 4924 4934 en NRF-CRP13-2014-02 RCA-16/335 IEEE Access © 2020 IEEE. This journal is 100% open access, which means that all content is freely available without charge to users or their institutions. All articles accepted after 12 June 2019 are published under a CC BY 4.0 license, and the author retains copyright. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, as long as proper attribution is given. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Engineering::Electrical and electronic engineering Electrode Structure Engineering Resistive Switching Uniformity |
spellingShingle |
Engineering::Electrical and electronic engineering Electrode Structure Engineering Resistive Switching Uniformity Sun, Jianxun Li, Yuanbo Ye, Yiyang Zhang, Jun Chong, Gang Yih Tan, Juan Boon Liu, Zhen Chen, Tupei 3D geometric engineering of the double wedge-like electrodes for filament-type RRAM device performance improvement |
description |
The resistive switching variability and reliability degradation are the two major challenges that hinder the high-volume production of the Resistive Random Access Memory (RRAM) devices. In this work, a 3D electrode structure engineering method is proposed. The geometric parameters defined as electrode angle (EA), electrodes spacing (ES) and electrode trench depth (ETD) associated with the double wedge-like electrodes of the filament-type RRAM devices are studied for the first time. Our experimental results show that apart from the resistive switching uniformity, the reliability performance such as cycling endurance and data retention are significantly improved for the device with small EA (90°), narrow ES (440 nm) and deep ETD (90 nm) owing to the electric field confinement and enhancement. Thus, this new approach can be served as a guideline for the design and optimization of the filament-type RRAM devices. |
author2 |
School of Electrical and Electronic Engineering |
author_facet |
School of Electrical and Electronic Engineering Sun, Jianxun Li, Yuanbo Ye, Yiyang Zhang, Jun Chong, Gang Yih Tan, Juan Boon Liu, Zhen Chen, Tupei |
format |
Article |
author |
Sun, Jianxun Li, Yuanbo Ye, Yiyang Zhang, Jun Chong, Gang Yih Tan, Juan Boon Liu, Zhen Chen, Tupei |
author_sort |
Sun, Jianxun |
title |
3D geometric engineering of the double wedge-like electrodes for filament-type RRAM device performance improvement |
title_short |
3D geometric engineering of the double wedge-like electrodes for filament-type RRAM device performance improvement |
title_full |
3D geometric engineering of the double wedge-like electrodes for filament-type RRAM device performance improvement |
title_fullStr |
3D geometric engineering of the double wedge-like electrodes for filament-type RRAM device performance improvement |
title_full_unstemmed |
3D geometric engineering of the double wedge-like electrodes for filament-type RRAM device performance improvement |
title_sort |
3d geometric engineering of the double wedge-like electrodes for filament-type rram device performance improvement |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/145876 |
_version_ |
1690658427310702592 |