材料科学
记忆电阻器
随机性
制作
电极
电子线路
光电子学
噪音(视频)
纳米技术
电子工程
电气工程
计算机科学
物理
工程类
图像(数学)
统计
病理
医学
人工智能
量子力学
数学
替代医学
作者
Xuehua Li,Tommaso Zanotti,Tao Wang,Kaichen Zhu,Francesco Maria Puglisi,Mario Lanza
标识
DOI:10.1002/adfm.202102172
摘要
Abstract Some memristors with metal/insulator/metal (MIM) structure have exhibited random telegraph noise (RTN) current signals, which makes them ideal to build true random number generators (TRNG) for advanced data encryption. However, there is still no clear guide on how essential manufacturing parameters like materials selection, thicknesses, deposition methods, and device lateral size can influence the quality of the RTN signal. In this paper, an exhaustive statistical analysis on the quality of the RTN signals produced by different MIM‐like memristors is reported, and straightforward guidelines for the fabrication of memristors with enhanced RTN performance are presented, which are: i) Ni and Ti electrodes show better RTN than Au electrodes, ii) the 50 μm × 50 μm devices show better RTN than the 5 μm × 5 μm ones, iii) TiO 2 shows better RTN than HfO 2 and Al 2 O 3 , iv) sputtered‐oxides show better RTN than ALD‐oxides, and v) 10 nm thick oxides show better RTN than 5 nm thick oxides. The RTN signals recorded have been used as entropy sources in high‐throughput TRNG circuits, which have passed the randomness tests of the National Institute of Standards and Technology. The work can serve as a useful guide for materials scientists and electronic engineers when fabricating MIM‐like memristors for RTN applications.
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