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Circuit design and image encryption of CNN chaotic system based on memristor 基于忆阻器的 CNN 混沌系统的电路设计与图像加密
IF 1.6 4区 物理与天体物理 Q3 PHYSICS, CONDENSED MATTER Pub Date : 2024-07-14 DOI: 10.1140/epjb/s10051-024-00743-y
Jie Zhang, Enze Liu

A new general-purpose voltage-controlled memristor with a fourth power term is designed in this paper. Based on this memristor, a new four-dimensional chaotic system, the memristor cell neural network (CNN) chaotic system, is constructed with complex dynamic characteristics, high spectral entropy complexity (SE), and wavelet entropy complexity (C0). Combination with analysis including phase portraits, equilibrium points, dissipativity, Lyapunov exponent spectrum, bifurcation diagrams, transient phenomena, spectral entropy complexity (SE), and wavelet entropy complexity (C0), the dynamic characteristics of the new system are thoroughly explored. Constructed analog circuits for the new memristor and new memristor CNN chaotic system, and a digital circuit is implemented using a field-programmable gate array. Combining the new memristor CNN chaotic system with DNA encoding operations for image encryption applications, its excellent encryption effectiveness and high security are discovered through analysis of key sensitivity, histogram, information entropy, correlation, keyspace, and robustness.

Graphical abstract

本文设计了一种具有四次幂项的新型通用电压控制忆阻器。以该忆阻器为基础,构建了一个具有复杂动态特性、高谱熵复杂度(SE)和小波熵复杂度(C0)的新型四维混沌系统--忆阻器单元神经网络(CNN)混沌系统。结合相位描绘、平衡点、耗散性、Lyapunov 指数谱、分岔图、瞬态现象、谱熵复杂度(SE)和小波熵复杂度(C0)等分析,深入探讨了新系统的动态特性。构建了新型忆阻器和新型忆阻器 CNN 混沌系统的模拟电路,并利用现场可编程门阵列实现了数字电路。通过对密钥灵敏度、直方图、信息熵、相关性、密钥空间和鲁棒性的分析,将新型忆阻器 CNN 混沌系统与 DNA 编码操作相结合,用于图像加密应用,发现了其卓越的加密效果和高安全性。 图摘
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引用次数: 0
The effect of electric field threshold switching from high resistivity to low resistivity state in ceramic samples of CuCr1–xAlxO2 delafossite solid solutions CuCr1-xAlxO2 铁氧体固溶体陶瓷样品中从高电阻率到低电阻率状态的电场阈值切换效应
IF 1.6 4区 物理与天体物理 Q3 PHYSICS, CONDENSED MATTER Pub Date : 2024-07-11 DOI: 10.1140/epjb/s10051-024-00735-y
Anton Matasov, Alexander Bush, Vladislav Kozlov, Oleg Glaz

Samples of the CuCr1-xAlxO2 system with x = 0, 0.25, 0.5, 0.75, 1 were synthesized using conventional ceramic technology. X-ray diffraction phase analysis data indicate the formation of an unlimited solid solution in the system with the delafossite crystal structure (a = 2.97–2.95 Å, c = 17.1–16.9 Å, sp. gr. R-3 m). Scanning electron microscopy data show that in samples with x = 0.25, 0.5, 0.75, particles of large and small sizes are embedded into each other. The calculated average grain sizes of the samples vary from 1.2 to 7.5 µm. The temperature dependencies of the electrical resistance of the samples under direct current were studied in the temperature range from 77 to 300 K with electric field strengths of 0.001, 0.94, 1.27, and 1.5 kV/cm. The current–voltage characteristics of the samples were studied in the range of electric field strengths up to 4.5 kV/cm at temperatures of 120, 175, and 220 K. It was established that the application of a constant electric field of 0.94, 1.27, and 1.5 kV/cm leads to switching from a high resistance state to a low resistance state. This switching is manifested in the form of giant resistance jumps (up to six orders of magnitude) in the temperature range of 90–200 K, as well as in the form of S-shaped volt-ampere characteristics containing a region of negative differential resistance. An interpretation of the observed switching effect is provided based on the polaron mechanism of conductivity.

摘要 采用传统陶瓷技术合成了 x = 0、0.25、0.5、0.75、1 的 CuCr1-xAlxO2 体系样品。X 射线衍射相分析数据表明,在该体系中形成了无限固溶体,其晶体结构为 delafossite(a = 2.97-2.95 Å,c = 17.1-16.9 Å,sp. gr. R-3 m)。扫描电子显微镜数据显示,在 x = 0.25、0.5、0.75 的样品中,大小颗粒相互嵌入。计算得出的样品平均晶粒大小从 1.2 微米到 7.5 微米不等。在 77 至 300 K 的温度范围内,在 0.001、0.94、1.27 和 1.5 kV/cm 的电场强度下,研究了样品在直流电流下电阻的温度相关性。在 120、175 和 220 K 的温度下,在高达 4.5 kV/cm 的电场强度范围内对样品的电流-电压特性进行了研究。结果表明,施加 0.94、1.27 和 1.5 kV/cm 的恒定电场会导致从高电阻状态切换到低电阻状态。在 90-200 K 的温度范围内,这种切换表现为巨大的电阻跃迁(高达六个数量级),以及包含负差分电阻区域的 S 型伏安特性。根据极子导电机制对观察到的开关效应进行了解释。
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引用次数: 0
Overview of the initial phase of scientific production on COVID-19 during the pandemic 大流行病期间 COVID-19 初期科研生产概况
IF 1.6 4区 物理与天体物理 Q3 PHYSICS, CONDENSED MATTER Pub Date : 2024-07-08 DOI: 10.1140/epjb/s10051-024-00734-z
Hernane Borges de Barros Pereira, Ludmilla Monfort Oliveira Sousa, Maíra Lima de Souza, Thiago B. Murari, Marcelo A. Moret

A novel virus begin to spread worldwide in 2020. Many studies have been conducted to better understand the outbreak that continues to affect the global population. The contribution of the present study is to provide an overview of the papers published in the first months since recognition of the first case of COVID-19. For this, a survey of scientific publications during the first 5 months of the outbreak was conducted. Semantic, coauthorship and citation networks were used to identify the most relevant themes and authors during the cited period. Coauthorship indicated that scientists from several countries had joined forces in the fight against the pandemic to produce many joint scientific publications on the newly discovered virus and the disease it caused. Coauthorship was spread across 1170 author groups. Regarding the semantic network of titles, we found that it was a hybrid network because it presented the small-world phenomenon and a power law in its degree distribution and was therefore scale invariant. Considering the citation network, we found that the distribution of indegrees followed a power law, and with it, we observed the most cited works due to their importance to the area and their cumulative advantage. The coauthorship, semantic, and citation networks clearly show some characteristics of complex systems.

摘要 2020 年,一种新型病毒开始在全球蔓延。为了更好地了解这一持续影响全球人口的疫情,已经开展了许多研究。本研究的目的是概述自发现第一例 COVID-19 病例后头几个月发表的论文。为此,我们对疫情爆发头 5 个月内发表的科学论文进行了调查。通过语义网络、共同作者网络和引用网络来确定引用期间最相关的主题和作者。共同署名表明,多个国家的科学家联合起来抗击疫情,共同发表了许多关于新发现的病毒及其引发的疾病的科学出版物。合著者分布在 1170 个作者群中。关于标题语义网络,我们发现这是一个混合网络,因为它呈现出小世界现象,其度分布呈幂律,因此具有规模不变性。至于引文网络,我们发现其不等式分布遵循幂律,通过它,我们可以观察到被引用次数最多的作品,这是因为它们对该领域的重要性及其累积优势。共同作者网络、语义网络和引用网络清楚地显示了复杂系统的一些特征。
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引用次数: 0
Dynamic behavior of memristor ML neurons and its application in secure communication 忆阻器 ML 神经元的动态行为及其在安全通信中的应用
IF 1.6 4区 物理与天体物理 Q3 PHYSICS, CONDENSED MATTER Pub Date : 2024-07-05 DOI: 10.1140/epjb/s10051-024-00719-y
Kaijun Wu, Zhaoxue Huang, Mingjun Yan

Improving neurons in a real physiological environment and studying their electrical behavior is crucial for understanding human cognitive brain functions and neural dynamics. Neuronal cells reside in a complex physiological environment, where the electromagnetic fields generated by ion transmembrane movements affect their discharge activity. Therefore, to better simulate the real conditions of biological neurons, this paper incorporated the characteristics of the memristor and constructed a four-dimensional Morris-Lecar (ML) neuron model by adding a magneto-controlled memristor into the three-dimensional ML neuron model. Through the study of time series diagrams, phase plane diagrams, inter-spike interval (ISI) bifurcation diagrams, we explored the effects of the feedback gain coefficient and the relationship coefficient between membrane potential and magnetic flux on the firing behavior of neurons in the model. It was found that variations in these two parameters can lead to complex firing patterns in neurons. We also utilized the maximum Lyapunov exponent and dissipative theory to investigate the chaotic synchronization phenomenon in the memristor-based ML neuron model. Additionally, we explored the impact of noise on neuronal synchronization behavior within the system, finding that an appropriate noise intensity can effectively accelerate the neurons’ attainment of a synchronized state. Finally, applying the chaotic synchronization system to secure Communication, the simulation results and related analysis demonstrate that the system excels in encrypting and decrypting voice signals, offering high levels of security and confidentiality.

Graphical abstract

Simulation results of speech signal encryption and decryption

在真实的生理环境中改进神经元并研究其电行为,对于了解人类大脑认知功能和神经动力学至关重要。神经元细胞处于复杂的生理环境中,离子跨膜运动产生的电磁场会影响其放电活动。因此,为了更好地模拟生物神经元的真实情况,本文结合忆阻器的特性,在三维 ML 神经元模型中加入磁控忆阻器,构建了四维 Morris-Lecar (ML)神经元模型。通过研究时间序列图、相平面图、尖峰间期(ISI)分叉图,我们探索了反馈增益系数和膜电位与磁通量之间的关系系数对模型中神经元发射行为的影响。结果发现,这两个参数的变化会导致神经元复杂的点火模式。我们还利用最大李雅普诺夫指数和耗散理论研究了基于忆阻器的 ML 神经元模型中的混沌同步现象。此外,我们还探讨了系统内噪声对神经元同步行为的影响,发现适当的噪声强度能有效加速神经元达到同步状态。最后,我们将混沌同步系统应用于安全通信,仿真结果和相关分析表明,该系统在加密和解密语音信号方面表现出色,具有很高的安全性和保密性。
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引用次数: 0
Bifurcation and multiple timescale dynamics of mixed bursting in the neuronal model 神经元模型中混合猝发的分岔和多时标动力学
IF 1.6 4区 物理与天体物理 Q3 PHYSICS, CONDENSED MATTER Pub Date : 2024-07-03 DOI: 10.1140/epjb/s10051-024-00732-1
Fen Ma, Lixia Duan, Zhihui Wang, Yong Zhao

Neurons within the pre-Bötzinger complex have been found experimentally to exhibit different firing activities. Mixed bursting is a special firing activities which has been found in neuron model and biological experiments. The traditional fast and slow dynamics analysis method encounters some difficulties in analyzing mixed bursting. Therefore, how to analyze the dynamic mechanism of mixed bursting generation and transition is a very important issue. In this paper, based on fast-slow decomposition, multiple timescale dynamics and one- and two-parameter bifurcation analysis, we investigate the mixed bursting and their transition mechanisms in pre-Bötzinger complex neurons. The results show that the generation mechanism of the mixed bursting is related to the multiple timescale of the neuron model. The results obtained in this paper is instructive for further understanding the dynamical behaviours and generation mechanisms of complex firing activities in biological nervous systems.

摘要 实验发现,前博琴格复合体中的神经元表现出不同的发射活动。混合猝发是神经元模型和生物实验中发现的一种特殊的发射活动。传统的快慢动力学分析方法在分析混合猝发时遇到了一些困难。因此,如何分析混合猝发产生和转换的动态机制是一个非常重要的问题。本文基于快慢分解、多时标动力学以及一参数和二参数分岔分析,研究了前伯琴格复合神经元的混合猝发及其转换机制。结果表明,混合猝发的产生机制与神经元模型的多时标有关。本文获得的结果对进一步理解生物神经系统中复杂发射活动的动力学行为和产生机制具有指导意义。
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引用次数: 0
The mechanical properties of advanced U–Si compounds using first principles method 利用第一原理法研究先进铀-硅化合物的力学性能
IF 1.6 4区 物理与天体物理 Q3 PHYSICS, CONDENSED MATTER Pub Date : 2024-07-03 DOI: 10.1140/epjb/s10051-024-00736-x
Hengfeng Gong, Daxi Guo, Jianhan Zhai, Jiwei Wang, Minzhou Chen, Lixiang Wu, Jiaxiang Xue, Yehong Liao

Due to high thermal conductivity and higher fissile density, one of the most options being pursued for accident-tolerant fuels is U–Si fuels. Unfortunately, the data available for U–Si fuels are rather limited now. Based on a few assumptions regarding geometry structures, electronic properties, elastic constants and hardness are predicted systematically for U–Si compounds using density functional theory (DFT) in this work. The calculation results show that the U3Si2, β-U3Si and γ-U3Si compounds are metallic and brittle, which is in good agreement with the previous experimental results. The Si-rich USi1.84 compound presents the ductile. By analyzing shear anisotropy factors, it is found that the U3Si2, β-U3Si and Si-rich USi1.84 have the anisotropic characteristics, while the γ-U3Si is isotropic. Moreover, among the U3Si2, β-U3Si, γ-U3Si and Si-rich USi1.84 compounds, the γ-U3Si is hardest and Si-rich USi1.84 is softest, then U3Si2 is much harder than that of β-U3Si by the Voigt hardness calculations. The hardness value of U3Si2 is overestimated in our calculation than experimental data, mainly because the model may be ideal without considering defects and microstructure. The theoretical investigation of this work will be expected to provide parameters for the physical models in the advanced fuel rod performance analysis.

Graphical abstract

The relationship between crystal structures and three dimensions elastic constants

由于具有高导热性和较高的裂变密度,目前最受欢迎的事故耐受燃料选择之一是铀硅燃料。遗憾的是,目前有关硅烷燃料的数据非常有限。本研究基于一些几何结构假设,利用密度泛函理论(DFT)对铀硅化合物的电子特性、弹性常数和硬度进行了系统预测。计算结果表明,U3Si2、β-U3Si 和 γ-U3Si 化合物具有金属脆性,这与之前的实验结果非常吻合。富含硅的 USi1.84 化合物呈现韧性。通过分析剪切各向异性因子,可以发现 U3Si2、β-U3Si 和富含硅的 USi1.84 具有各向异性的特征,而 γ-U3Si 则是各向同性的。此外,在 U3Si2、β-U3Si、γ-U3Si 和富含 Si 的 USi1.84 化合物中,γ-U3Si 最硬,而富含 Si 的 USi1.84 最软,那么根据 Voigt 硬度计算,U3Si2 比 β-U3Si 硬得多。我们的计算结果比实验数据高估了 U3Si2 的硬度值,这主要是因为模型可能是理想的,没有考虑缺陷和微观结构。这项工作的理论研究有望为先进燃料棒性能分析中的物理模型提供参数。
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引用次数: 0
GHG emissions in Brazilian Agriculture and livestock sectors and the risk to Amazonia conservation 巴西农业和畜牧业的温室气体排放及其对亚马孙保护的风险
IF 1.6 4区 物理与天体物理 Q3 PHYSICS, CONDENSED MATTER Pub Date : 2024-07-02 DOI: 10.1140/epjb/s10051-024-00720-5
Eder Johnson de Area Leão Pereira, Luisa Maria Diele-Viegas, Luiz Carlos de Santana Ribeiro

This article aims to identify the most central sectors of agriculture and livestock at a national level, investigating the centrality of the biofuel sector in Brazil in terms of GHG emissions. Complex networks and input–output were used to investigate this. Our results showed that the Agriculture and Livestock sector is a central supplier of GHG emissions in the Brazilian economy. In contrast, the Biofuel sector is the most demanding sector, considering GHG emissions incorporated into the trade. Based on the results found, we intend to contribute to the discussion about the possible threats from these polluting sectors to the sustainability of the Amazon and global climate change.

Graphical abstract

本文旨在确定国家层面上最核心的农业和畜牧业部门,调查巴西生物燃料部门在温室气体排放方面的核心地位。研究采用了复杂网络和投入产出法。我们的研究结果表明,农业和畜牧业是巴西经济中温室气体排放的主要提供者。相比之下,考虑到贸易中的温室气体排放,生物燃料行业是需求最大的行业。根据所发现的结果,我们打算就这些污染部门对亚马逊的可持续性和全球气候变化可能造成的威胁展开讨论。 图表摘要
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引用次数: 0
Bayesian inference of the mean power of several Gaussian data 若干高斯数据平均功率的贝叶斯推断
IF 1.6 4区 物理与天体物理 Q3 PHYSICS, CONDENSED MATTER Pub Date : 2024-06-29 DOI: 10.1140/epjb/s10051-024-00737-w
Giovanni Mana, Carlo Palmisano

The uniform prior probability density for the means of normal data leads to inconsistent Bayesian inference of their mean power and jeopardizes the possibility of selecting among different models that explain the data. We reinvestigated the problem avoiding delivering unrecognised information and looking at it in a novel way. Namely, to consider a finite power, we used a normal prior minimally diverging from the uniform one, hyperparameterised by the mean and variance, and left the data to choose the most supported parameters. We also obtained an extended James–Stein estimator averaging the hyper-parameters and avoiding empirical Bayes techniques.

摘要 正态数据均值的统一先验概率密度会导致对其均值幂的贝叶斯推断不一致,并危及在解释数据的不同模型中进行选择的可能性。我们重新研究了这个问题,避免提供未识别的信息,并以一种新颖的方式来看待这个问题。也就是说,为了考虑有限幂,我们使用了与均匀先验发散最小的正态先验,通过均值和方差进行超参数化,并让数据来选择支持率最高的参数。我们还获得了一个扩展的詹姆斯-斯坦估计器,它平均了超参数并避免了经验贝叶斯技术。
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引用次数: 0
Effect of time oscillating magnetic fields on the vortex dynamics of superconducting thin films with columnar defect and slit 时间振荡磁场对带有柱状缺陷和狭缝的超导薄膜涡旋动力学的影响
IF 1.6 4区 物理与天体物理 Q3 PHYSICS, CONDENSED MATTER Pub Date : 2024-06-28 DOI: 10.1140/epjb/s10051-024-00724-1
Yufeng Zhao, Yuan Du, Ping Ma

The time-dependent Ginzburg–Landau equation (TDGL) for type II superconducting films containing columnar defects and slits was solved numerically using finite-element techniques. The Gibbs free energy of the system and the corresponding dynamical behavior of the vortex are analyzed under stable and time-oscillating magnetic fields. The effect of the frequency of the applied magnetic field on both the energy profile was observed. Finally, we discussed the impact of the Ginzburg–Landau parameter on the quantity of complete vortices generated.

Graphical Abstract

The time evolution of |ψ|2 is shown. From the top left corner to the bottom right corner of the picture, (a) t = 6; (b) t = 13; (c) t = 27; (d) t = 41; (e) t = 73; (f) t = 130; (g) t = 163

利用有限元技术对含有柱状缺陷和狭缝的 II 型超导薄膜的时变金兹堡-朗道方程(TDGL)进行了数值求解。分析了稳定磁场和时间振荡磁场下系统的吉布斯自由能以及涡旋的相应动力学行为。观察到了外加磁场的频率对能量曲线的影响。最后,我们讨论了金兹堡-朗道参数对产生的完整涡旋数量的影响。
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引用次数: 0
Intriguing properties of transport at the microscales: Langevin equation approach 微观尺度传输的奇妙特性:朗之万方程方法
IF 1.6 4区 物理与天体物理 Q3 PHYSICS, CONDENSED MATTER Pub Date : 2024-06-25 DOI: 10.1140/epjb/s10051-024-00718-z
J. Spiechowicz, J. Łuczka

We present a perspective of simple models of nonequilibrium directed transport described in terms of a Langevin equation formalism. We consider a Brownian particle under various circumstances and driven by thermal (equilibrium) and non-thermal (active) fluctuations. Three examples of startling behavior are unveiled: giant transport, multiple current reversal and negative mobility.

摘要 我们从一个简单模型的角度,介绍了用朗格文方程形式描述的非平衡定向输运。我们考虑了布朗粒子在各种情况下受热力(平衡)和非热力(活动)波动的驱动。我们揭示了三个令人震惊的行为实例:巨型输运、多电流反转和负流动性。
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引用次数: 0
期刊
The European Physical Journal B
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