材料科学
神经形态工程学
光电子学
负阻抗变换器
电容
阈下摆动
铁电性
薄膜晶体管
CMOS芯片
晶体管
氧化物
纳米技术
电气工程
计算机科学
图层(电子)
MOSFET
化学
冶金
电极
电压
物理化学
电压源
人工神经网络
电介质
工程类
机器学习
作者
Md Mobaidul Islam,Myeonggi Jeong,Arqum Ali,Jinbaek Bae,Samiran Roy,Jin Jang
摘要
We report complementary metal‐oxide semiconductor (CMOS)‐compatible, negative capacitance (NC) ferroelectric (FE) zirconium‐aluminum oxide (ZAO)/ZnO thin‐film transistors (TFTs) at a low thermal budget of 360 °C. The NC‐FE‐TFTs demonstrate uniform device‐to‐device performances, featuring a high memory window of 6.7 ± 0.1 V and steep subthreshold swing of 43 ± 4 mV dec –1 . The observation of negative differential resistance at room temperature confirms the NC effect in FE‐ZAO/ZnO TFTs. In addition, a learning accuracy of ≈92% is achieved, highlighting the potential for high precision neuromorphic computing application.
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