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Controlled thermally-driven mass transport in carbon nanotubes using carbon hoops 利用碳环控制碳纳米管中的热驱动质量传输
IF 1.7 4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Pub Date : 2023-12-13 DOI: 10.1088/1674-1056/ad14ff
Yao-long Li, S. Li, M. Wang, R. Zhang
Controlling mass transportation using intrinsic mechanisms is a challenging topic in nanotechnology. Herein, we employ molecular dynamics simulations to investigate the mass transport inside carbon nanotubes with temperature gradients, specifically the effects of adding a static carbon hoop to the outside of a CNT on the transport of a nanomotor inside the CNT. We reveal that the underlying mechanism is the uneven potential energy created by the hoops, i.e., the hoop outside the CNT forms potential energy barriers or wells that affect mass transport inside the CNT. This fundamental control of directional mass transportation may lead to promising routes for nanoscale actuation and energy conversion.
利用内在机制控制质量传输是纳米技术中一个具有挑战性的课题。在此,我们利用分子动力学模拟研究了碳纳米管内部的质量传输与温度梯度,特别是在碳纳米管外部添加静态碳环对纳米马达在碳纳米管内部传输的影响。我们揭示了其基本机制是碳环所产生的不均匀势能,即碳纳米管外部的碳环会形成势能屏障或碳井,从而影响碳纳米管内部的质量传输。这种对定向质量传输的基本控制可能为纳米级致动和能量转换带来前景广阔的途径。
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引用次数: 0
Exciton-polaritons in a 2D hybrid organic-inorganic perovskite microcavity with the presence of optical Stark effect 存在光学斯塔克效应的二维有机-无机混合包晶微腔中的激子-极化子
IF 1.7 4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Pub Date : 2023-12-12 DOI: 10.1088/1674-1056/ad1484
K. Coker, Chuyuan Zheng, Joseph Roger Arhin, Kwame Opuni-Boachie Obour Agyekum, Weili Zhang
This study investigates the properties of exciton-polaritons in a 2D hybrid organic-inorganic perovskite microcavity in the presence of optical Stark effect. Through both steady and dynamic state analyses, strong coupling between excitons of perovskite and cavity photons is revealed, indicating the formation of polaritons in the perovskite microcavity. Besides, it is found that an external optical Stark pulse can induce energy shifts of excitons proportional to the pulse intensity, which modifies the dispersion characteristics of the polaritons.
本研究探讨了存在光学斯塔克效应的二维有机-无机混合包晶微腔中激子-极化子的特性。通过稳态和动态分析,发现了包晶的激子与腔光子之间的强耦合,表明在包晶微腔中形成了极化子。此外,研究还发现外部的斯塔克光脉冲能诱导激子发生与脉冲强度成正比的能量移动,从而改变了极化子的色散特性。
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引用次数: 0
Wave field structure and power coupling features of blue-core helicon plasma driven by various antenna geometries and frequencies 不同天线几何结构和频率驱动的蓝核螺旋子等离子体的波场结构和功率耦合特征
IF 1.7 4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Pub Date : 2023-12-12 DOI: 10.1088/1674-1056/ad1486
Chao Wang, Jia Liu, Lei Chang, Ling-Feng Lu, Shi-Jie Zhang, Fan-Tao Zhou
This paper deals with wave propagation and power coupling in blue-core helicon plasma driven by various antennas and frequencies. It is found that compared to non-blue-core mode, for blue-core mode, the wave can propagate in the core region, and it decays sharply outside the core. The power absorption is lower and steeper in radius for blue-core mode. Regarding the effects of antenna geometry for blue-core mode, it shows that half helix antenna yields the strongest wave field and power absorption, while loop antenna yields the lowest. Moreover, near axis, for antennas with m = +1, the wave field increases with axial distance. In the core region, the wave number approaches to a saturation value at much lower frequency for non-blue-core mode compared to blue-core mode. The total loading resistance is much lower for blue-core mode. These findings are valuable to understanding the physics of blue-core helicon discharge and optimizing the experimental performance of blue-core helicon plasma sources for applications such as space propulsion and material treatment.
本文讨论了不同天线和频率驱动的蓝核螺旋子等离子体中的波传播和功率耦合。研究发现,与非蓝核模式相比,蓝核模式的波可以在核心区域传播,并在核心之外急剧衰减。蓝芯模式的功率吸收较低,半径较陡。天线几何形状对蓝核模式的影响表明,半螺旋天线产生的波场和功率吸收最强,而环形天线产生的波场和功率吸收最小。此外,在轴附近,对于 m = +1 的天线,波场随轴向距离的增加而增大。在核心区域,非蓝核模式的波数接近饱和值的频率远低于蓝核模式。蓝芯模式的总负载电阻要小得多。这些发现对于理解蓝核螺旋子放电的物理原理以及优化蓝核螺旋子等离子体源在太空推进和材料处理等应用领域的实验性能非常有价值。
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引用次数: 0
Theoretical investigation of electron-impact ionization of W8+ ion W8+ 离子的电子撞击电离理论研究
IF 1.7 4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Pub Date : 2023-12-12 DOI: 10.1088/1674-1056/ad1487
Shiping Zhang, Fangjun Zhang, Denghong Zhang, Xiaobin Ding, Jun Jiang, Luyou Xie, Yulong Ma, Maijuan Li, Marek Sikorski, Chenzhong Dong
The electron-impact single ionization cross section for W8+ ion has been calculated using flexible atomic code, employing the level-to-level distorted-wave approximation. This calculations takes into account contributions form both direct ionization (DI) and excitation autoionization (EA). However, the theoretical predictions, based solely on the ground state, tends to underestimated the experimental values. This discrepancy can be mitigated by incorporation contributions from excited states. We extended the theoretical analysis, including the contributions from the long-lived metastable states with lifetimes exceeding 1.5 × 10-5s. We employed two statistical models to predict the fraction of ground state ions in the parent ion beam. Assuming a 79% fraction of parent ions in ground configuration, the experiment measurements align with the predictions. Furthermore we derived the theoretical cross-section for the ground state as correlated plasma rate coefficients, and compared it with existing data. Despite the uncertainty in our calculations, our results are still acceptable.
利用灵活的原子代码,采用水平到水平的扭曲波近似计算了 W8+ 离子的电子撞击单电离截面。该计算考虑了直接电离(DI)和激发自电离(EA)的贡献。然而,仅基于基态的理论预测往往会低估实验值。这种差异可以通过加入激发态的贡献来缓解。我们扩展了理论分析,将寿命超过 1.5 × 10-5s 的长寿命瞬变态的贡献也包括在内。我们采用了两种统计模型来预测母离子束中基态离子的比例。假设母离子中 79% 的离子处于基态,则实验测量结果与预测结果一致。此外,我们还推导出了作为相关等离子体速率系数的基态理论截面,并将其与现有数据进行了比较。尽管我们的计算存在不确定性,但我们的结果仍然是可以接受的。
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引用次数: 0
Dynamical Behaviors in Discrete Memristor-Coupled Small-world Neuronal Networks 离散忆阻器耦合小世界神经元网络中的动态行为
IF 1.7 4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Pub Date : 2023-12-12 DOI: 10.1088/1674-1056/ad1483
Jieyu Lu, Xiaohua Xie, Yaping Lu, Yalian Wu, Chunlai Li, Minglin Ma
Brain is a complex network system in which a large number of neurons are widely connected to each other and transmit signals to each other. The memory characteristic of memristors makes them suitable for simulating neuronal synapses with plasticity. In this paper, a memristor is used to simulate synapse, and a discrete small-world neuronal network is constructed based on Rulkov neurons and its dynamical behavior is explored. We explore the influence of system parameter on the dynamical behaviors of the discrete small-world network, and the system shows a variety of firing patterns such as spiking firing and triangular bursting firing when the neuronal parameter α is changed. The numerical simulation results based on Matlab show that the network topology can affect the synchronous firing behavior of the neuronal network, and the higher the reconnection probability, the number of nearest neurons, and the more significant the synchronization state of neurons. In addition, by increasing the coupling strength of memristor synapses, synchronization performance is promoted. The results of this paper can boost the research process of complex neuronal networks coupled with memristor synapse and further promote the development of neuroscience.
大脑是一个复杂的网络系统,其中大量神经元彼此广泛连接并相互传递信号。忆阻器的记忆特性使其适合模拟具有可塑性的神经元突触。本文利用忆阻器模拟突触,并基于 Rulkov 神经元构建了离散小世界神经元网络,探讨了其动力学行为。我们探讨了系统参数对离散小世界网络动力学行为的影响,当神经元参数α改变时,系统呈现出尖峰发射和三角猝发发射等多种发射模式。基于 Matlab 的数值模拟结果表明,网络拓扑结构会影响神经元网络的同步发射行为,重联概率越高、最近神经元数量越多,神经元的同步状态越显著。此外,通过增加忆阻器突触的耦合强度,也能促进同步性能的提高。本文的研究成果可以推动与忆阻器突触耦合的复杂神经元网络的研究进程,进一步促进神经科学的发展。
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引用次数: 0
Impact of different interaction behavior on epidemic spreading in time-dependent social networks 不同互动行为对随时间变化的社交网络中流行病传播的影响
IF 1.7 4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Pub Date : 2023-12-12 DOI: 10.1088/1674-1056/ad147f
Shuai Huang, Jie Chen, Meng-Yu Li, Yuan-Hao Xu, Mao-Bin Hu
Social interactions account for the spread of epidemics in population. In this paper, we investigate the impact of pairwise and group interactions on the spread of epidemics through an activity-driven model based on time-dependent networks. The effects of pairwise/group interaction proportion and pairwise/group interaction intensity are explored by extensive simulation and theoretical analysis. It is demonstrated that altering the group interaction proportion can either hinder or enhance the spread of epidemics, depending on the relative social intensity of group and pairwise interactions. As the group interaction proportion decreases, the impact of reducing group social intensity diminishes. The ratio of group and pairwise social intensity can affect the effect of group interaction proportion on the scale of infection. A weak heterogeneous activity distribution can raise the epidemic threshold, and reduce the scale of infection. These results benefit the design of epidemic control strategy.
社会互动是流行病在人群中传播的原因。在本文中,我们通过一个基于时间依赖网络的活动驱动模型,研究了成对和群体互动对流行病传播的影响。通过大量的模拟和理论分析,探讨了配对/群体交互比例和配对/群体交互强度的影响。结果表明,根据群体和成对互动的相对社会强度,改变群体互动比例既可以阻碍也可以促进流行病的传播。随着群体互动比例的降低,降低群体社会强度的影响也会减弱。群体和成对社会强度的比例会影响群体互动比例对感染规模的影响。弱异质性活动分布可以提高流行阈值,降低感染规模。这些结果有利于疫情控制策略的设计。
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引用次数: 0
The wave nature of Rosensweig instability 罗森斯魏格不稳定性的波浪性质
IF 1.7 4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Pub Date : 2023-12-12 DOI: 10.1088/1674-1056/ad1485
Liu Li, Decai Li, Zhiqiang Qi, Lu Wang, Zhili Zhang
In this study, the explicit analytical solution of Rosensweig instability spikes’ shapes obtained by Navier-Stokes equation in diverse magnetic field H vertical to the flat free surface of ferrofluids are systematically studied experimentally and theoretically. After carefully analyzing and solving the Navier-Stokes equation in elliptic form, the force balanced surface equations of spikes in Rosensweig instability are expressed as cosine wave in perturbated magnetic field and hyperbolic tangent in large magnetic field, whose results both reveal the wave-like nature of Rosensweig instability. The results of hyperbolic tangent form are perfectly fitted to the experimental results in this paper, which indicates that the analytical solution is basically correct. Using the forementioned theoretical results, the total energy of the spike distribution pattern is calculated. By analyzing the energy components under different magnetic field intensities H, the hexagon-square transition of Rosensweig instability is systematically discussed and explained in an explicit way.
本研究通过实验和理论系统地研究了在垂直于铁流体平坦自由表面的不同磁场 H 中,用纳维-斯托克斯方程求得的罗森斯韦格不稳定性尖峰形状的显式解析解。在对椭圆形式的纳维-斯托克斯方程进行仔细分析和求解后,罗森斯韦格不稳定中的尖峰受力平衡面方程在扰动磁场中表示为余弦波,在大磁场中表示为双曲正切,其结果都揭示了罗森斯韦格不稳定的波状性质。双曲正切形式的结果与本文的实验结果完全吻合,说明解析解基本正确。利用上述理论结果,计算了尖峰分布模式的总能量。通过分析不同磁场强度 H 下的能量分量,系统地讨论并明确解释了罗森斯韦格不稳定性的六方转变。
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引用次数: 0
Source localization in signed networks with effective distance 具有有效距离的签名网络中的源定位
IF 1.7 4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Pub Date : 2023-12-12 DOI: 10.1088/1674-1056/ad1482
Zhi-Wei Ma, Lei Sun, Zhi-Guo Ding, Yi-Zhen Huang, Zhao-Long Hu
While progress has been made in information source localization, it has overlooked the prevalent friend and adversarial relationships in social networks. This paper addresses this gap by focusing on source localization in signed network models. Leveraging the topological characteristics of signed networks and transforming the propagation probability into effective distance, we propose an optimization method for observer selection. Additionally, by using the reverse propagation algorithm we present a method for information source localization in signed networks. Extensive experimental results demonstrate that a higher proportion of positive edges within signed networks contributes to more favorable source localization, and the higher the ratio of propagation rates between positive and negative edges, the more accurate the source localization becomes. Interestingly, this aligns with our observation that, in reality, the number of friends tends to be greater than the number of adversaries, and the likelihood of information propagation among friends is often higher than among adversaries. In addition, the source located at the periphery of the network is not easy to identify. Furthermore, our proposed observer selection method based on effective distance achieves higher operational effciency and exhibits higher accuracy in information source localization, compared with three strategies for observer selection based on the classical Full-order neighbor coverage.
虽然在信息源定位方面取得了进展,但却忽略了社交网络中普遍存在的朋友和敌对关系。本文通过关注签名网络模型中的信息源定位来弥补这一不足。利用签名网络的拓扑特性,并将传播概率转化为有效距离,我们提出了一种观察者选择的优化方法。此外,通过使用反向传播算法,我们提出了一种在签名网络中进行信息源定位的方法。大量实验结果表明,有符号网络中正边的比例越高,信息源定位就越有利,正边和负边的传播率之比越高,信息源定位就越准确。有趣的是,这与我们的观察结果一致,即在现实中,朋友的数量往往多于对手的数量,朋友之间信息传播的可能性往往高于对手。此外,位于网络外围的信息源并不容易识别。此外,与基于经典全阶邻居覆盖的三种观察者选择策略相比,我们提出的基于有效距离的观察者选择方法实现了更高的运行效率,在信息源定位方面表现出更高的准确性。
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引用次数: 0
Spin-direction dependent Quantum Anomalous Hall effect in two-dimensional ferromagnetic materials 二维铁磁材料中与自旋方向相关的量子反常霍尔效应
IF 1.7 4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Pub Date : 2023-12-08 DOI: 10.1088/1674-1056/ad1380
Yu-Xian Yang, Chang-Wen Zhang
We propose a scheme for realizing spin-direction dependent Quantum Anomalous Hall Effect (QAHE) driven by spin-orbit couplings (SOC) strength in two-dimensional (2D) materials. Based on the sp 3 tight-binding (TB) model, we find that these systems can harbor QAHE with out-of-plane and in-plane magnetization for the weak and strong SOC, respectively, in which the mechanism of quantum transition is mainly driven by the band inversion of p x,y /p z orbitals. As a concrete example, based on first-principles calculations, we realize a real material of monolayer 1T-SnN2/PbN2 to exhibit QAHE with in-plane/out-of-plane magnetization characterized by the nonzero Chern number C and topological edge states. These findings provide useful guidance for the pursuit of spin-direction-dependent QAHE and hence stimulate immediate experimental interest.
我们提出了一种在二维(2D)材料中实现由自旋轨道耦合(SOC)强度驱动的自旋方向相关量子反常霍尔效应(QAHE)的方案。基于sp 3紧密结合(TB)模型,我们发现这些体系可以分别拥有面外和面内磁化的弱荷电晶体,其中量子跃迁机制主要由px,y / pz轨道的能带反转驱动。作为一个具体的例子,基于第一性原理计算,我们实现了一种真实的单层1T-SnN2/PbN2材料,其面内/面外磁化具有非零陈恩数C和拓扑边缘态。这些发现为追求依赖自旋方向的qhe提供了有用的指导,从而激发了直接的实验兴趣。
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引用次数: 0
Effects of CAV on the stability and energy consumption of heterogeneous traffic flow system CAV 对异构交通流系统稳定性和能耗的影响
IF 1.7 4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Pub Date : 2023-12-08 DOI: 10.1088/1674-1056/ad1383
S. J, Z. D, Liu H Q, Jiang R, Yu Z X
With the progression of intelligent and interconnected traffic system, a convergence of traffic stream is anticipated in the foreseeable future, where both connected automated vehicle (CAV) and human driven vehicle (HDV) will coexist. In order to examine the effect of CAV on the overall stability and energy consumption of such heterogeneous traffic system, we first take into account the interrelated perception of distance and speed by CAV to establish a macroscopic dynamic model utilizing the full velocity difference (FVD) model. Subsequently, drawing upon the linear stability theory, we propose the linear stability condition for the model using the small perturbation method,and the validity of the heterogeneous model is verified comparing with the FVD model. Through nonlinear theoretical analysis, we further derive the KdV-Burgers equation, which captures the propagation characteristics of traffic density waves. Finally, by means of numerical simulation experiments utilizing a macroscopic model of heterogeneous traffic flow, the effect of CAV permeability on the stability of density waves in heterogeneous traffic flow and the energy consumption of the traffic system is investigated. Subsequent analysis reveals emergent traffic phenomena. The experimental findings demonstrate that as CAV permeability increases, the ability to dampen the propagation of fluctuations in heterogeneous traffic flow gradually intensifies when giving system perturbation, leading to enhanced stability of the traffic system. Furthermore, higher initial traffic density renders the traffic system more susceptible to congestion, resulting in local clustering effect and stop-and-go traffic phenomenon. Remarkably, the total energy consumption of the heterogeneous traffic system exhibits a gradual decline with increasing CAV permeability. Further evidence has demonstrated the positive impact of CAV on heterogeneous traffic flow. This research contributes to providing theoretical guidance for future CAV applications, aiming to enhance urban road traffic efficiency and alleviate congestion.
随着交通系统智能化和互联化的发展,在可预见的未来,交通流将会趋同,互联自动驾驶汽车(CAV)和人驾驶汽车(HDV)将共存。为了研究CAV对此类异构交通系统整体稳定性和能耗的影响,我们首先考虑CAV对距离和速度的相互关联感知,利用全速差(full velocity difference, FVD)模型建立宏观动力学模型。随后,利用线性稳定性理论,利用小摄动方法提出了模型的线性稳定性条件,并与FVD模型进行了对比,验证了异质模型的有效性。通过非线性理论分析,我们进一步导出了KdV-Burgers方程,该方程反映了交通密度波的传播特性。最后,通过非均质交通流宏观模型的数值模拟实验,研究了CAV渗透率对非均质交通流密度波稳定性和交通系统能耗的影响。随后的分析揭示了紧急交通现象。实验结果表明,随着CAV渗透率的增加,在施加系统扰动时,抑制异质交通流波动传播的能力逐渐增强,从而增强了交通系统的稳定性。此外,较高的初始交通密度使交通系统更容易发生拥堵,从而产生局部聚集效应和走走停停的交通现象。值得注意的是,随着CAV渗透率的增加,非均质交通系统的总能耗逐渐下降。进一步的证据证明了CAV对异质性交通流的积极影响。本研究有助于为未来自动驾驶汽车的应用提供理论指导,以提高城市道路交通效率,缓解拥堵。
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引用次数: 0
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Chinese Physics B
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