混乱的
噪音(视频)
记忆电阻器
统计物理学
电阻随机存取存储器
系列(地层学)
非线性系统
分形
随机过程
随机噪声
计算机科学
物理
数学
量子力学
人工智能
数学分析
统计
古生物学
电极
生物
图像(数学)
作者
Stavros G. Stavrinides,M. P. Hanias,Mireia Bargalló González,F. Campabadal,Yiannis Contoyiannis,Stelios M. Potirakis,Mohamad Moner Al Chawa,Carol de Benito,Ronald Tetzlaff,Rodrigo Picos,Leon O. Chua
标识
DOI:10.1016/j.chaos.2022.112224
摘要
Random telegraph noise (RTN) owns its very name to its assumed stochastic nature. In this paper, we follow up previous works that questioned this stochastic nature, and we investigate this assumption using experimentally measured noise coming from properly biased Ni/HfO2 unipolar Resistive RAM memristor nanodevices. We have used established, well–known tools from nonlinear theory to examine the current–noise temporal series. Evaluation results show that this series appears to exhibit not a stochastic, but a deterministic chaotic behavior, also demostrating interesting fractal characteristics in 2D and 3D phase space projections. The presented results clearly advocate for a strong component of complex (chaotic) fluctuation of deterministic origin, instead of a typical (fully stochastic) RTN. This result could pave the path for an enhanced understanding of the mechanisms behind RTN emergence, as well as improve its noise models.
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