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SSRN 2022年

作者： Pu, Zhuo Cai, Songlin L. Dai, Lan-Hong Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610200 China State Key Laboratory of Nonlinear Mechanics Institute of Mechanics Chinese Academy of Sciences Beijing100190 China School of Engineering Science University of Chinese Academy of Sciences Beijing100049 China CAS Center for Excellence in Complex System Mechanics Beijing100190 China China Electric Power Research Institute State Grid Corporation of China Beijing100192 China

This study presents an effective strengthening and toughening approach to improve tensile properties of CrMnFeCoNi high entropy-alloy (HEA) by combining extrusion machining and short-time heat treatment. After such process, preliminary structural heterogeneity has been achieved in this alloy, of which the strength is significantly enhanced while good elongation is retained compared to its homogeneous counterparts. Microstructural characterization reveals varying degrees of partial recrystallization with more or less dislocation density for HEAs under different treatment. It is such structural inhomogeneity that imparts this alloy with good strain hardening ability at high flow stress levels. © 2022, The Authors. All rights reserved.

关键词： Strain hardening

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Flow field analyses of a porous membrane-separated,double-layered microfluidic chip for cell co-culture

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Acta Mechanica Sinica 2020年第3期36卷 754-767页

作者： Shenbao Chen Jian Xue Jinrong Hu Qihan Ding Luwen Zhou Shiliang Feng Yuhong Cui Shouqin Lu Mian Long Center of Biomechanics and Bioengineering Key Laboratory of Microgravity(National Microgravity Laboratory)Beijing Key Laboratory of Engineered Construction and Mechanobiologyand CAS Center for Excellence in Complex System MechanicsInstitute of MechanicsChinese Academy of SciencesBeijing100190China School of Engineering Science University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory of Nonlinear Mechanics(LNM) Institute of MechanicsChinese Academy of SciencesBeijing 100190China Faculty of Mechanical Engineering and Mechanics Ningbo UniversityNingbo 315211ZhejiangChina Department of Mechanics Tianjin UniversityTianjin 300072China

Organs-on-chips composed of a porous membrane-separated,double-layered channels are used widely in elucidating the effects of cell co-culture and flow shear on biological *** the diversity of channel geometry and membrane permeability is applied,their quantitative correlation with flow features is still *** boundary methods(IBM)simulations and theoretical modelling were performed in this *** simulations showed that channel length,height and membrane permeability jointly regulated the flow features of flux,penetration velocity and wall shear stress(WSS).Increase of channel length,lower channel height or membrane permeability monotonically reduced the flow flux,velocity and WSS in upper channel before reaching a *** the flow flux in lower channel monotonically increased with the increase of each factor,the WSS surprisingly exhibited a biphasic pattern with first increase and then decrease with increase of lower channel ***,the transition threshold of maximum WSS was sensitive to the channel length and membrane *** modeling,integrating the transmembrane pressure difference and inlet flow flux with chip geometry and membrane permeability,was in good agreement with IBM *** analyses provided theoretical bases for optimizing flow-specified chip design and evaluating flow microenvironments of in vivo tissue.

关键词： Immersed boundary method Porous membrane Wall shear stress Penetration velocity Microfluidic chip

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Superior Strength-Ductility Cocrni Medium-Entropy Alloy Wire

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SSRN 2020年

作者： Liu, Jun-Peng Chen, Jin-Xi Liu, Tian-Wei Li, Chen Chen, Yan Dai, Lan-Hong State Key Laboratory of Nonlinear Mechanics Institute of Mechanics Chinese Academy of Sciences Beijing100190 China School of Engineering Science University of Chinese Academy of Sciences Beijing101408 China CAS Center for Excellence in Complex System Mechanics Beijing100190 China

High strength-ductility is the prerequisite requirement for the widely used steel wires in engineering applications. Traditional strengthening strategies on these wires are suffocated inevitably by strength-ductility trade-off dilemma. Recent emerging medium-entropy alloys (MEAs) usually exhibits excellent ductility but relatively lower strength. In this paper, a novel CoCrNi MEA wire with superior mechanical properties was successfully fabricated by heavily drawing process. The yield strength, ultimate tensile strength and elongation could reach 1.5 GPa, 1.8 GPa and 37.4% at liquid-nitrogen temperature, respectively. In-depth microstructure characterization indicates this superior strength-ductility derives from the synergy of dislocations, high-density twins and clear FCC-HCP phase transition. © 2020, The Authors. All rights reserved.

关键词： Entropy

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Spatio-Temporal Dynamics of Jerky Flow in High-Entropy Alloy at Extremely Low Temperature

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SSRN 2019年

作者： Pu, Z. Xie, Zhoucan Sarmah, Ritupan Chen, Y. Lu, Chunsheng Ananthakrishna, Garani Dai, Lan-Hong State Key Laboratory of Nonlinear Mechanics Institute of Mechanics Chinese Academy of Sciences Beijing100190 China School of Engineering Science University of Chinese Academy of Sciences Beijing100049 China CAS Center for Excellence in Complex System Mechanics Beijing100190 China Department of Physics Tezpur University Tezpur784028 India School of Civil and Mechanical Engineering Curtin University WA6845 Australia Materials Research Centre Indian Institute of Science Bangalore560012 India

Despite a large body of literature, mechanisms contributing to low temperature jerky flow remain controversial. Here, we report a cross over from a smooth at room and liquid nitrogen temperatures to serrated plastic flow at 4.2 K in high-entropy CrMnFeCoNi alloy. We show that the jerky flow results from an interaction between dislocation inertial motion with Lomer-Cottrell locks. The instability is shown to result from a competition between the inertial and viscous time scales characterized by a Deborah number. A dynamical analysis shows that jerky flow is chaotic characterized by a finite correlation dimension and a positive Lyapunov exponent. © 2019, The Authors. All rights reserved.

关键词： Entropy

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Excitation and suppression of chimera states by multiplexing

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Physical Review E 2016年第5期94卷 052205-052205页

作者： Vladimir A. Maksimenko Vladimir V. Makarov Bidesh K. Bera Dibakar Ghosh Syamal Kumar Dana Mikhail V. Goremyko Nikita S. Frolov Alexey A. Koronovskii Alexander E. Hramov Research and Educational Center “Nonlinear Dynamics of Complex Systems” Yuri Gagarin State Technical University of Saratov Saratov 410028 Russia Physics and Applied Mathematics Unit Indian Statistical Institute Kolkata 700108 India CSIR–Indian Institute of Chemical Biology Kolkata 700032 India Center for Complex System Research Kolkata Kolkata India Faculty of Nonlinear Processes Saratov State University Saratov 410012 Russia

We study excitation and suppression of chimera states in an ensemble of nonlocally coupled oscillators arranged in a framework of multiplex network. We consider the homogeneous network (all identical oscillators) with different parametric cases and interlayer heterogeneity by introducing parameter mismatch between the layers. We show the feasibility to suppress chimera states in the multiplex network via moderate interlayer interaction between a layer exhibiting chimera state and other layers which are in a coherent or incoherent state. On the contrary, for larger interlayer coupling, we observe the emergence of identical chimera states in both layers which we call an interlayer chimera state. We map the spatiotemporal behavior in a wide range of parameters, varying interlayer coupling strength and phase lag in two and three multiplexing layers. We also prove the emergence of interlayer chimera states in a multiplex network via evaluation of a continuous model. Furthermore, we consider the two-layered network of Hindmarsh-Rose neurons and reveal that in such a system multiplex interaction between layers is capable of exciting not only the synchronous interlayer chimera state but also nonidentical chimera patterns.

关键词： Chimera states Coupled oscillators

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROSCIENCE 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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Creation of Orbital Angular Momentum States with Chiral Polaritonic Lenses

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Physical Review Letters 2014年第20期113卷 200404-200404页

作者： Robert Dall Michael D. Fraser Anton S. Desyatnikov Guangyao Li Sebastian Brodbeck Martin Kamp Christian Schneider Sven Höfling Elena A. Ostrovskaya Nonlinear Physics Centre The Australian National University Canberra ACT 0200 Australia AMPL Research School of Physics and Engineering The Australian National University Canberra ACT 0200 Australia Quantum Functional System Research Group RIKEN Center for Emergent Matter Science 2-1 Hirosawa Wako-shi Saitama 351-0198 Japan Technische Physik and Wilhelm-Conrad-Röntgen Research Center for Complex Material Systems Universität Würzburg D-97074 Würzburg Germany School of Physics and Astronomy University of St Andrews St Andrews Fife KY16 9SS United Kingdom

Controlled transfer of orbital angular momentum to an exciton-polariton Bose-Einstein condensate spontaneously created under incoherent, off resonant excitation conditions is a long-standing challenge in the field of microcavity polaritonics. We demonstrate, experimentally and theoretically, a simple and efficient approach to the generation of nontrivial orbital angular momentum states by using optically induced potentials—chiral polaritonic lenses. These lenses are produced by a structured optical pump with a spatial distribution of intensity that breaks the chiral symmetry of the system.

关键词： BOSE-Einstein condensation QUANTUM statistical mechanics POLARITONS ANGULAR momentum (Nuclear physics) PARTICLES (Nuclear physics) -- Chirality

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Advanced information feedback strategy in intelligent two-route traffic flow systems

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Science China(Information Sciences) 2010年第11期53卷 2265-2271页

作者： DONG ChuanFei1,2, MA Xu1,3 & WANG BingHong1,4 1Department of Modern Physics and nonlinear Science center, University of Science and Technology of China (USTC), Hefei 230026, China 2School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA 3 Department of Physics, Syracuse University, Syracuse, NY 13244, USA 4The Research center for complex system Science, University of Shanghai for Science and Technology and Shanghai Academy of system Science, Shanghai 200093, China 1. Department of Modern Physics and Nonlinear Science Center University of Science and Technology of China (USTC) Hefei 230026 China2. School of Earth and Atmospheric Sciences Georgia Institute of Technology Atlanta GA 30332 USA3. Department of Physics Syracuse University Syracuse NY 13244 USA4. The Research Center for Complex System Science University of Shanghai for Science and Technology and Shanghai Academy of System Science Shanghai 200093 China

The optimal information feedback has a significant effect on many socioeconomic systems like stock market and traffic systems aiming to make full use of resources. In this paper, we study dynamics of traffic flow with real-time information. The influence of a feedback strategy named vehicle number feedback strategy (VNFS) is introduced, in which we only calculate the vehicle number of first 500 route sites from the entrance. Moreover, the two-route traffic system has only one entrance and one exit, which is different from those in the previous work. Our model incorporates the effects of adaptability into the cellular automaton models of traffic flow, and simulation results by adopting this optimal information feedback strategy have demonstrated higher efficiency in controlling spatial distribution of traffic patterns than the other three information feedback strategies, i.e., TTFS, MVFS and CCFS.

关键词： vehicle number feedback strategy two-route selecting traffic flow intelligent vehicle cellular automaton model

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Information filtering based on transferring similarity

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Physical Review E 2009年第1期80卷 017101-017101页

作者： Duo Sun Tao Zhou Jian-Guo Liu Run-Ran Liu Chun-Xiao Jia Bing-Hong Wang Department of Modern Physics and Nonlinear Science Center University of Science and Technology of China Hefei Anhui 230026 People’s Republic of China Department of Physics University of Fribourg Chemin du Musee 3 CH-1700 Fribourg Switzerland Research Center for Complex System Science University of Shanghai for Science and Technology Shanghai 200093 People’s Republic of China

In this Brief Report, we propose an index of user similarity, namely, the transferring similarity, which involves all high-order similarities between users. Accordingly, we design a modified collaborative filtering algorithm, which provides remarkably higher accurate predictions than the standard collaborative filtering. More interestingly, we find that the algorithmic performance will approach its optimal value when the parameter, contained in the definition of transferring similarity, gets close to its critical value, before which the series expansion of transferring similarity is convergent and after which it is divergent. Our study is complementary to the one reported in [E. A. Leicht, P. Holme, and M. E. J. Newman, Phys. Rev. E 73, 026120 (2006)], and is relevant to the missing link prediction problem.

关键词： Collaborative filtering

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Effects of social diversity on the emergence of global consensus in opinion dynamics

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Physical Review E 2009年第4期80卷 046108-046108页

作者： Han-Xin Yang Zhi-Xi Wu Changsong Zhou Tao Zhou Bing-Hong Wang Department of Modern Physics University of Science and Technology of China Hefei 230026 China Department of Physics Hong Kong Baptist University Kowloon Tong Hong Kong Department of Physics Umeå University 90187 Umeå Sweden Centre for Nonlinear Studies and The Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong) Hong Kong Baptist University Kowloon Tong Hong Kong Department of Physics University of Fribourg Chemin du Muse 3 CH-1700 Fribourg Switzerland The Research Center for Complex System Science University of Shanghai for Science and Technology and Shanghai Academy of System Science Shanghai 200093 China

We propose a variant of the voter model by introducing the social diversity in the evolution process. Each individual is assigned a weight that is proportional to the power of its degree, where the power exponent α is an adjustable parameter that controls the level of diversity among individuals in the network. At each time step, a pair of connected individuals, say i and j, are randomly selected to update their opinions. The probability pi of choosing is opinion as their common opinion is proportional to is weight. We consider the scale-free topology and concentrate on the efficiency of reaching the final consensus, which is significant in characterizing the self-organized systems. Interestingly, it is found that there exists an optimal value of α, leading to the shortest consensus time. This phenomenon indicates that, although a strong influence of high-degree individuals is helpful for quick consensus achievement, over strong influence inhibits the convergence process. Other quantities, such as the probability of an individual’s initial opinion becomes the final opinion as a function of degree, the evolution of the number of opinion clusters, as well as the relationship between average consensus time and the network size, are also studied. Our results are helpful for better understanding the role of degree heterogeneity of the individuals in the opinion dynamics.

关键词： Condensed matter physics

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