Flexible BaTiO 3 Ferroelectric Nonvolatile Memory for Neuromorphic Computation

神经形态工程学 材料科学 铁电性 非易失性存储器 计算 纳米技术 光电子学 电介质 计算机科学 人工神经网络 人工智能 算法
作者
Yiming Peng,Yiming Peng,Xingpeng Liu,Guojian Luo,Fabi Zhang,Tangyou Sun,Haiou Li,Yan Cheng,Ying Peng,Ying Peng
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:17 (12): 18571-18581 被引量:11
标识
DOI:10.1021/acsami.4c21545
摘要

The use of BaTiO3 (BTO) ferroelectric thin films in flexible ferroelectric memory offers a promising pathway for next-generation nonvolatile memory applications, given BTO’s excellent ferroelectric properties, stability, high dielectric constant, and strong fatigue resistance. However, the fabrication of BTO on flexible substrates presents a significant technical challenge. In this study, we achieved high-quality, single-crystalline (111)-oriented BTO films on mica substrates through the design of buffer layers. The BTO films exhibit strong polarization properties (remnant polarization, 2Pr ∼15.63 μC/cm2, and saturation polarization, 2Ps ∼36.61 μC/cm2), and the flexible BTO devices maintained exceptional stability under bending radii of 3.5 and 6 mm. After 107 bipolar switching cycles, polarization showed only minor changes, with a retention time exceeding 104 s. We further explored the application of flexible BTO ferroelectric memory in neuromorphic computing. The flexible BTO-based memory demonstrated adjustable synaptic behavior, effectively modulating EPSC (excitatory postsynaptic current) responses through pulse amplitude and width to simulate short-term memory. PPF (paired pulse facilitation) and LTP (long-term potentiation) behaviors verified its synaptic weight modulation capabilities, achieving 91.6% accuracy in neural network-based handwritten digit recognition after 103 training cycles. These findings underscore the potential of flexible BTO ferroelectric memory for memory devices and neuromorphic computing, offering promising applications for wearable AI systems.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
glzhou1975完成签到 ,获得积分10
1秒前
黎藿完成签到,获得积分10
3秒前
科研通AI6.4应助曾sir采纳,获得10
3秒前
3秒前
w8816完成签到,获得积分10
7秒前
7秒前
fanfan发布了新的文献求助10
8秒前
可爱的函函应助苹果采纳,获得10
10秒前
jklling完成签到 ,获得积分10
10秒前
11秒前
ding应助辕YUAN采纳,获得10
11秒前
11秒前
12秒前
12秒前
研友_惊鸿发布了新的文献求助50
13秒前
cjzj完成签到,获得积分10
13秒前
14秒前
rues011发布了新的文献求助10
14秒前
内向含芙完成签到 ,获得积分10
14秒前
完美世界应助LilHJ采纳,获得10
15秒前
16秒前
17秒前
逢投必中完成签到 ,获得积分10
17秒前
20秒前
amai发布了新的文献求助30
20秒前
21秒前
eilizheng发布了新的文献求助10
22秒前
22秒前
23秒前
情怀应助adawin采纳,获得10
23秒前
充电宝应助小飒的猫采纳,获得10
23秒前
三爷完成签到,获得积分10
23秒前
英姑应助欣慰冬亦采纳,获得10
23秒前
热沙来提发布了新的文献求助10
24秒前
哈哈哈完成签到,获得积分10
24秒前
24秒前
Kao应助zx采纳,获得10
25秒前
Koi完成签到,获得积分10
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7760988
求助须知:如何正确求助?哪些是违规求助? 9306112
关于积分的说明 20292743
捐赠科研通 7345562
什么是DOI,文献DOI怎么找? 3313052
关于科研通互助平台的介绍 2463334
邀请新用户注册赠送积分活动 2327290