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中国物理B（英文版）
中国物理B（英文版）

欧阳钟灿

月刊

1674-1056

010-82649026 82649519

100080

北京603信箱

中国物理B（英文版）/Journal Chinese Physics　BCSCDCSTPCD北大核心EISCI
查看更多>>该刊与《物理学报》是中国物理学会主办的物理学英文和中文的综合性国际学术月刊。刊登物理学科领域中，国内外未曾公开发表的具有创新性的科学研究最新成果。内容包括物理学各领域的理论、实验技术及应用。两刊内容不重复。两刊以论文水平高、创新性强，发表速度快的特点，受到国内外物理学工作者的好评和关注。被国际著名的SCI等10种以上检索系统收录。曾多次被评为中国科学院优秀期刊一等奖，1999，2003，2005年荣获第一、第二和第三届国家期刊奖，2001年被国家新闻出版总署评为“中国期刊方阵”中的双高（高知名度、高学术水平）期刊。2001，2002，2003年两刊都评为百种中国杰出期刊。
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    Logical stochastic resonance in a cross-bifurcation non-smooth system

    张宇青雷佑铭
    739-748页
    查看更多>>摘要：This paper investigates logical stochastic resonance(LSR)in a cross-bifurcation non-smooth system driven by Gaus-sian colored noise.In this system,a bifurcation parameter triggers a transition between monostability,bistability and tristability.By using Novikov's theorem and the unified colored noise approximation method,the approximate Fokker-Planck equation is obtained.Then we derive the generalized potential function and the transition rates to analyze the LSR phenomenon using numerical simulations.We simulate the logic operation of the system in the bistable and tristable re-gions respectively.We assess the impact of Gaussian colored noise on the LSR and discover that the reliability of the logic response depends on the noise strength and the bifurcation parameter.Furthermore,it is found that the bistable region has a more extensive parameter range to produce reliable logic operation compared with the tristable region,since the tristable region is more sensitive to noise than the bistable one.
      原文链接:
    • 万方数据
    • 维普

    Modeling the performance of perovskite solar cells with inserting porous insulating alumina nanoplates

    潘赵耀杨金彭沈小双
    749-753页
    查看更多>>摘要：Peng et al.[Science 379 683(2023)]reported an effective method to improve the performance of perovskite solar cells by using thicker porous insulator contact(PIC)-alumina nanoplates.This method overcomes the trade-off between the open-circuit voltage and the fill factor through two mechanisms:reduced surface recombination velocity and increased bulk recombination lifetime due to better perovskite crystallinity.From arguments of drift-diffusion simulations,we find that an increase in mobility and carrier recombination lifetime in bulk are the key factors for minimizing the resistance-effect from thicker PICs and achieving a maximum power conversion efficiency(PCE)at approximately 25％reduced contact area.Furthermore,the partially replacement of perovskite films with thicker PICs would result in a reduction in short-current density,but the relative low refractive index of the PICs imbedded into the high refractive index perovskite creates light trapping structures that compensate for this loss.
      原文链接:
    • 万方数据
    • 维普

    Terahertz toroidal dipole metamaterial sensors for detection of aflatoxin B1

    徐建伟欧阳收剑段守鑫邹林儿...
    754-759页
    查看更多>>摘要：Terahertz metamaterial biosensors have attracted significant attention in the biological field due to their advantages of label-free,real-time and in situ detection.In this paper,a highly sensitive metamaterial sensor with semi-ring mirror sym-metry based on toroidal dipole resonance is designed for a new metamaterial biosensor.It is shown that a refractive index sensitivity of 337.5 GHz per refractive index unit can be achieved under an analyte of saturated thickness near a 1.33 THz transmission dip.For biosensor samples where aflatoxin B1 is dropped on the metamaterial surface in our experiment,dip amplitudes of transmission varying from 0.1904 to 0.203 and 0.2093 are observed as aflatoxin B1 concentrations are altered from 0 to 0.001 μg·ml-1 and to 0.01 μg·ml-1,respectively.Furthermore,when aflatoxin B1 concentrations are 0.1 μg·ml-1,1 μg·ml-1,10 μg·ml-1 and 100 μg·ml-1,dip amplitudes of 0.2179,0.226,0.2384 and 0.2527 and dip red-shifts of 10.1 GHz,20.1 GHz,27.7 GHz and 37.6 GHz are respectively observed.These results illustrate high-sensitivity,label-free detection of aflatoxin B1,enriching the applications of sensors in the terahertz domain.
      原文链接:
    • 万方数据
    • 维普

    Studying the co-evolution of information diffusion,vaccination behavior and disease transmission in multilayer networks with local and global effects

    霍良安武兵杰
    760-773页
    查看更多>>摘要：Today,with the rapid development of the internet,a large amount of information often accompanies the rapid trans-mission of disease outbreaks,and increasing numbers of scholars are studying the relationship between information and the disease transmission process using complex networks.In fact,the disease transmission process is very complex.Besides this information,there will often be individual behavioral measures and other factors to consider.Most of the previous research has aimed to establish a two-layer network model to consider the impact of information on the transmission pro-cess of disease,rarely divided into information and behavior,respectively.To carry out a more in-depth analysis of the disease transmission process and the intrinsic influencing mechanism,this paper divides information and behavior into two layers and proposes the establishment of a complex network to study the dynamic co-evolution of information diffusion,vaccination behavior,and disease transmission.This is achieved by considering four influential relationships between ad-jacent layers in multilayer networks.In the information layer,the diffusion process of negative information is described,and the feedback effects of local and global vaccination are considered.In the behavioral layer,an individual's vaccination behavior is described,and the probability of an individual receiving a vaccination is influenced by two factors:the influence of negative information,and the influence of local and global disease severity.In the disease layer,individual susceptibility is considered to be influenced by vaccination behavior.The state transition equations are derived using the micro Markov chain approach(MMCA),and disease prevalence thresholds are obtained.It is demonstrated through simulation experi-ments that the negative information diffusion is less influenced by local vaccination behavior,and is mainly influenced by global vaccination behavior;vaccination behavior is mainly influenced by local disease conditions,and is less influenced by global disease conditions;the disease transmission threshold increases with the increasing vaccination rate;and the scale of disease transmission increases with the increasing negative information diffusion rate and decreases with the increasing vaccination rate.Finally,it is found that when individual vaccination behavior considers both the influence of negative information and disease,it can increase the disease transmission threshold and reduce the scale of disease transmission.Therefore,we should resist the diffusion of negative information,increase vaccination proportions,and take appropriate protective measures in time.
      原文链接:
    • 万方数据
    • 维普

    Dynamics of information diffusion and disease transmission in time-varying multiplex networks with asymmetric activity levels

    谢笑笑霍良安董雅芳程英英...
    774-784页
    查看更多>>摘要：While the interaction between information and disease in static networks has been extensively investigated,many studies have ignored the characteristics of network evolution.In this study,we construct a new two-layer coupling model to explore the interactions between information and disease.The upper layer describes the diffusion of disease-related information,and the lower layer represents the disease transmission.We then use power-law distributions to examine the influence of asymmetric activity levels on dynamic propagation,revealing a mapping relationship characterizing the interconnected propagation of information and diseases among partial nodes within the network.Subsequently,we derive the disease outbreak threshold by using the microscopic Markov-chain approach(MMCA).Finally,we perform extensive Monte Carlo(MC)numerical simulations to verify the accuracy of our theoretical results.Our findings indicate that the activity levels of individuals in the disease transmission layer have a more significant influence on disease transmission compared with the individual activity levels in the information diffusion layer.Moreover,reducing the damping factor can delay disease outbreaks and suppress disease transmission,while improving individual quarantine measures can contribute positively to disease control.This study provides valuable insights into policymakers for developing outbreak prevention and control strategies.
      原文链接:
    • 万方数据
    • 维普

    A multilayer network diffusion-based model for reviewer recommendation

    黄羿炜徐舒琪蔡世民吕琳媛...
    785-803页
    查看更多>>摘要：With the rapid growth of manuscript submissions,finding eligible reviewers for every submission has become a heavy task.Recommender systems are powerful tools developed in computer science and information science to deal with this problem.However,most existing approaches resort to text mining techniques to match manuscripts with potential review-ers,which require high-quality textual information to perform well.In this paper,we propose a reviewer recommendation algorithm based on a network diffusion process on a scholar-paper multilayer network,with no requirement for textual information.The network incorporates the relationship of scholar-paper pairs,the collaboration among scholars,and the bibliographic coupling among papers.Experimental results show that our proposed algorithm outperforms other state-of-the-art recommendation methods that use graph random walk and matrix factorization and methods that use machine learning and natural language processing,with improvements of over 7.62％in recall,5.66％in hit rate,and 47.53％in ranking score.Our work sheds light on the effectiveness of multilayer network diffusion-based methods in the reviewer recommendation problem,which will help to facilitate the peer-review process and promote information retrieval research in other practical scenes.
      原文链接:
    • 万方数据
    • 维普

    Speed limit effect during lane change in a two-lane lattice model under V2X environment

    金灿彭光含聂方彦
    804-809页
    查看更多>>摘要：Speed limit measures are ubiquitous due to the complexity of the road environment,which can be supplied with the help of vehicle to everything(V2X)communication technology.Therefore,the influence of speed limit on traffic system will be investigated to construct a two-lane lattice model accounting for the speed limit effect during the lane change process under V2X environment.Accordingly,the stability condition and the mKdV equation are closely associated with the speed limit effect through theory analysis.Moreover,the evolution of density and hysteresis loop is simulated to demonstrate the positive role of the speed limit effect on traffic stability in the cases of strong reaction intensity and high limited speed.
      原文链接:
    • 万方数据
    • 维普

    Advances in neuromorphic computing:Expanding horizons for AI development through novel artificial neurons and in-sensor computing

    杨玉波赵吉哲刘胤洁华夏扬...
    前插1,1-23页
    查看更多>>摘要：AI development has brought great success to upgrading the information age.At the same time,the large-scale artificial neural network for building AI systems is thirsty for computing power,which is barely satisfied by the conventional comput-ing hardware.In the post-Moore era,the increase in computing power brought about by the size reduction of CMOS in very large-scale integrated circuits(VLSIC)is challenging to meet the growing demand for AI computing power.To address the issue,technical approaches like neuromorphic computing attract great attention because of their feature of breaking Von-Neumann architecture,and dealing with AI algorithms much more parallelly and energy efficiently.Inspired by the human neural network architecture,neuromorphic computing hardware is brought to life based on novel artificial neurons constructed by new materials or devices.Although it is relatively difficult to deploy a training process in the neuromorphic architecture like spiking neural network(SNN),the development in this field has incubated promising technologies like in-sensor computing,which brings new opportunities for multidisciplinary research,including the field of optoelectronic materials and devices,artificial neural networks,and microelectronics integration technology.The vision chips based on the architectures could reduce unnecessary data transfer and realize fast and energy-efficient visual cognitive processing.This paper reviews firstly the architectures and algorithms of SNN,and artificial neuron devices supporting neuromorphic computing,then the recent progress of in-sensor computing vision chips,which all will promote the development of AI.
      原文链接:
    • 万方数据
    • 维普