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
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.
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