Exploring resistive switching in flexible, forming-free Ti/NiO/AZO/PET memory device for future wearable electronics.

IF 3.8 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Scientific Reports Pub Date : 2025-03-10 DOI:10.1038/s41598-025-88549-5
Adiba Adiba, Ph Nonglen Meitei, Tufail Ahmad
{"title":"Exploring resistive switching in flexible, forming-free Ti/NiO/AZO/PET memory device for future wearable electronics.","authors":"Adiba Adiba, Ph Nonglen Meitei, Tufail Ahmad","doi":"10.1038/s41598-025-88549-5","DOIUrl":null,"url":null,"abstract":"<p><p>Resistive Random Access Memory (ReRAM) is an emerging class of non-volatile memory that stores data by altering the resistance of a material within a memory cell. Unlike traditional memory technologies, ReRAM operates by using voltage to induce a resistance change in a metal oxide layer, which can then be read as a binary state (0 or 1). In this work, we present a flexible, forming-free, ReRAM device using an aluminium-doped zinc oxide (AZO) electrode and a nickel oxide (NiO) active layer. The fabricated Ti/NiO/AZO/PET device demonstrates reliable bipolar resistive switching (BRS) with two distinct and stable resistance states, crucial for neuromorphic computing. Electrical tests showed stable high and low resistance states with set voltage (V<sub>SET</sub>) ≈ 5.4 V and reset voltage (V<sub>RESET</sub>) ≈ 2.9 V, with endurance over 400 cycles and retention around 10³ seconds. Different conduction mechanisms were observed in high resistance state (HRS) and low resistance state (LRS) like ohmic and space charge limited current (SCLC). Electrical characterization under bending conditions demonstrated the device's performance and reliability, with minimal variation in V<sub>SET</sub> and V<sub>RESET</sub> values. These results highlight the potential of NiO/AZO-based flexible ReRAM for high-density data storage and wearable electronics applications.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"8165"},"PeriodicalIF":3.8000,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Reports","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41598-025-88549-5","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Resistive Random Access Memory (ReRAM) is an emerging class of non-volatile memory that stores data by altering the resistance of a material within a memory cell. Unlike traditional memory technologies, ReRAM operates by using voltage to induce a resistance change in a metal oxide layer, which can then be read as a binary state (0 or 1). In this work, we present a flexible, forming-free, ReRAM device using an aluminium-doped zinc oxide (AZO) electrode and a nickel oxide (NiO) active layer. The fabricated Ti/NiO/AZO/PET device demonstrates reliable bipolar resistive switching (BRS) with two distinct and stable resistance states, crucial for neuromorphic computing. Electrical tests showed stable high and low resistance states with set voltage (VSET) ≈ 5.4 V and reset voltage (VRESET) ≈ 2.9 V, with endurance over 400 cycles and retention around 10³ seconds. Different conduction mechanisms were observed in high resistance state (HRS) and low resistance state (LRS) like ohmic and space charge limited current (SCLC). Electrical characterization under bending conditions demonstrated the device's performance and reliability, with minimal variation in VSET and VRESET values. These results highlight the potential of NiO/AZO-based flexible ReRAM for high-density data storage and wearable electronics applications.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
期刊最新文献
Exploring resistive switching in flexible, forming-free Ti/NiO/AZO/PET memory device for future wearable electronics. A quantitative analysis method based on network evolution for risk factors of safety production in chemical enterprises. A hybrid approach for lithium-ion battery remaining useful life prediction using signal decomposition and machine learning. Spacetime pq theory for AC and DC electric power systems. Intermuscular adipose tissue affected muscle density more than intramuscular adipose tissue content with opportunistic screening at abdominal CT.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1