CMOS‐Compatible ScAlN Ferroelectric Thin Films with Enhanced Polarization for High‐Performance FeFET Memory and Artificial Synapses

材料科学 铁电性 光电子学 极化(电化学) 薄膜 神经形态工程学 CMOS芯片 非易失性存储器 铁电RAM 纳米技术 人工神经网络 计算机科学 化学 物理化学 电介质 机器学习
作者
Bingqian Xu,Yao Cai,Zekai Wang,Qinwen Xu,Yuqi Ren,Xiang Chen,Chenxi Hu,Xiaohui Li,Jianping Shi,Chengliang Sun,Shishang Guo
出处
期刊:Small methods [Wiley]
卷期号:: e2500842-e2500842
标识
DOI:10.1002/smtd.202500842
摘要

Abstract ScAlN is an emerging nitride ferroelectric material that exhibits exceptional remnant polarization (P r ) at ultrathin scales (<50 nm), stable single‐phase ferroelectricity, and CMOS compatibility, making it highly promising for next‐generation low‐power, high‐density memory and neuromorphic devices. However, ScAlN films deposited by conventional physical vapor deposition (PVD) faces challenges such as Sc precipitation and crystal orientation degradation at high Sc concentrations (>20%) and reduced thicknesses, leading to deteriorated ferroelectricity and increased leakage. In this work, it is demonstrated that an optimized substrate structure enables PVD‐grown Sc 0.2 Al 0.8 N films to achieve significantly enhanced ferroelectric properties compared to conventional substrates, retaining high P r even at 20 nm thickness. This improvement is further validated with Sc 0.3 Al 0.7 N and Sc 0.35 Al 0.65 N films across varying thicknesses. Additionally, a Sc 0.2 Al 0.8 N‐based FeFET fabricated on this substrate exhibits a 17 V memory window, >10 3 switching ratio, >10 4 s retention, and >10 4 cycle endurance. When configured as an artificial synapse, the device achieves 98.7% recognition accuracy in neural network training under encoded pulse voltages, highlighting its potential for energy‐efficient computing.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
脑洞疼应助奥特曼采纳,获得10
1秒前
time404发布了新的文献求助10
1秒前
1秒前
CDUT_111完成签到,获得积分10
1秒前
科研通AI6应助Leslie采纳,获得10
1秒前
1秒前
2秒前
2秒前
yuxin发布了新的文献求助10
2秒前
ao完成签到,获得积分10
2秒前
dtcao发布了新的文献求助10
3秒前
3秒前
3秒前
4秒前
桐桐应助鳗鱼绿蝶采纳,获得10
4秒前
JamesPei应助大力薯片采纳,获得30
4秒前
Sebastian发布了新的文献求助10
5秒前
科目三应助我爱陶子采纳,获得10
5秒前
贪玩半雪发布了新的文献求助10
5秒前
徐一一完成签到,获得积分10
6秒前
Lucas应助灵巧的斓采纳,获得10
6秒前
孙子豪完成签到,获得积分10
7秒前
英俊的铭应助憨憨采纳,获得10
7秒前
7秒前
bkagyin应助enen采纳,获得10
7秒前
Shoujiang发布了新的文献求助10
7秒前
Lhk柒完成签到,获得积分10
7秒前
8秒前
无限的晓凡完成签到,获得积分10
9秒前
9秒前
9秒前
9秒前
黑魔仙发布了新的文献求助10
9秒前
小昭完成签到,获得积分10
9秒前
困困魚完成签到,获得积分10
9秒前
9秒前
CodeCraft应助huan采纳,获得10
10秒前
Anatee完成签到,获得积分10
10秒前
斯文败类应助yhyh采纳,获得10
10秒前
Lucas应助陈帅采纳,获得10
11秒前
高分求助中
List of 1,091 Public Pension Profiles by Region 1621
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] | NHBS Field Guides & Natural History 1500
The Victim–Offender Overlap During the Global Pandemic: A Comparative Study Across Western and Non-Western Countries 1000
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
Brittle fracture in welded ships 1000
King Tyrant 680
Objective or objectionable? Ideological aspects of dictionaries 360
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5582167
求助须知:如何正确求助?哪些是违规求助? 4666373
关于积分的说明 14762023
捐赠科研通 4608313
什么是DOI,文献DOI怎么找? 2528621
邀请新用户注册赠送积分活动 1497921
关于科研通互助平台的介绍 1466671