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

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Bingqian Xu, Yao Cai, Zekai Wang, Qinwen Xu, Yuqi Ren, Xiang Chen, Chenxi Hu, Xiaohui Li, Jianping Shi, Chengliang Sun, Shishang Guo
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Abstract

ScAlN is an emerging nitride ferroelectric material that exhibits exceptional remnant polarization (Pr) 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 Sc0.2Al0.8N films to achieve significantly enhanced ferroelectric properties compared to conventional substrates, retaining high Pr even at 20 nm thickness. This improvement is further validated with Sc0.3Al0.7N and Sc0.35Al0.65N films across varying thicknesses. Additionally, a Sc0.2Al0.8N-based FeFET fabricated on this substrate exhibits a 17 V memory window, >103 switching ratio, >104 s retention, and >104 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.

用于高性能ffet记忆和人工突触的具有增强极化的cmos兼容ScAlN铁电薄膜。
ScAlN是一种新兴的氮化铁电材料,在超薄尺度下(20%)表现出异常的残余极化(Pr)和厚度减少,导致铁电性恶化和泄漏增加。在这项工作中,研究人员证明,与传统衬底相比,优化的衬底结构使pvd生长的Sc0.2Al0.8N薄膜获得了显著增强的铁电性能,即使在20nm厚度下也能保持高Pr。在不同厚度的Sc0.3Al0.7N和Sc0.35Al0.65N薄膜中进一步验证了这种改进。此外,在该衬底上制备的基于sc0.2 al0.8 n的ffet具有17 V的记忆窗口,>03的开关比,>04s的保持率和>104的循环寿命。当配置为人工突触时,该设备在编码脉冲电压下的神经网络训练中达到98.7%的识别准确率,突出了其节能计算的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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