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arXiv 2022年

作者： Qian, Jiachen Duan, Peihu Duan, Zhisheng Shi, Ling State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering Science College of Engineering Peking University Beijing100871 China School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Department of Electronic and Computer Engineering the Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

The coupled Riccati equations (CREs) are a set of multiple Riccati-like equations whose solutions are coupled with each other through matrix means. They are a fundamental mathematical tool to depict the inherent dynamics of many complex systems, including Markovian systems or multi-agent systems. This paper investigates a new kind of CREs called harmonic-coupled Riccati equations (HCREs), whose solutions are coupled using harmonic means. We first introduce the specific form of HCREs and then analyze the existence and uniqueness of its solutions under the conditions of collective observability and primitiveness of coupling matrices. Additionally, we ensure the uniqueness of HCREs solutions with several mild conditions. Based on this newly established theory, we greatly simplify the steady-state estimation error covariance of consensus-on-information-based distributed filtering (CIDF) into the solutions to a discrete-time Lyapunov equation (DLE). This leads to a significant conservativeness reduction of traditional performance evaluation techniques for CIDF. The obtained results are remarkable since they not only enrich the theory of CREs, but also provide a novel insight into the synthesis and analysis of CIDF algorithms. We finally validate our theoretical findings through several numerical experiments. Copyright © 2022, The Authors. All rights reserved.

关键词： Multi agent systems

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Biodegradation behavior of micro-arc oxidation coating on magnesium alloy-from a protein perspective

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Bioactive Materials 2020年第2期5卷 398-409页

作者： Zhao-Qi Zhang Li Wang Mei-Qi Zeng Rong-Chang Zeng M.Bobby Kannan Cun-Guo Lin Yu-Feng Zheng Corrosion Laboratory for Light Metals College of Material Science and EngineeringShandong University of Science and TechnologyQingdao266590China State Key Laboratory for Marine Corrosion and Protection Luoyang Ship Material Research InstituteQingdao266101China School of Materials Science and Engineering Zhengzhou UniversityZhengzhou450002China Biomaterials and Engineering Materials(BEM)Laboratory College of ScienceTechnology and EngineeringJames Cook UniversityTownsville4811Australia State Key Laboratory for Turbulence and Complex Systems and Department of Materials Science and Engineering College of EngineeringPeking UniversityBeijing100871China

Protein exerts a critical influence on the degradation behavior of absorbable magnesium(Mg)-based ***,the interaction mechanism between protein and a micro-arc oxidation(MAO)coating on Mg alloys remains ***,a MAO coating was fabricated on AZ31 Mg *** its degradation behavior in phosphate buffer saline(PBS)containing bovine serum albumin(BSA)was investigated and compared with that of the uncoated *** morphologies and chemical compositions were studied using Field-emission scanning electron microscope(FE-SEM),Fourier transform infrared spectrophotometer(FT-IR)and X-ray diffraction(XRD).The degradation behavior of the bare Mg alloy and its MAO coating was studied through electrochemical and hydrogen evolution *** assay was applied to evaluate the biocompatibility of Mg alloy substrate and MAO *** indicated that the presence of BSA decreased the degradation rate of Mg alloy substrate because BSA(RCH(NH2)COO‾)molecules combined with Mg2+ions to form(RCH(NH2)COO)2Mg and thus inhibited the dissolution of Mg(OH)2 by impeding the attack of Cl‾*** the case of MAO coated Mg alloy,the adsorption of BSA on MAO coating and the formation of(RCH(NH2)COO)2Mg exhibited a synergistic effect and enhanced the corrosion resistance of the coated alloy ***,cell bioactive assay suggested that the MAO coating had good viability for MG63 cells due to its high surface area.

关键词： Magnesium alloy Protein Degradation Micro-arc oxidation Biocompatibility

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Fragmentation of faceted crystalline wires

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Physical Review Materials 2022年第10期6卷 106002-106002页

作者： Nan Wang Alain Karma Department of Materials Science and Engineering Guangdong Technion - Israel Institute of Technology Shantou Guangdong 515063 China Physics Department and Center for Interdisciplinary Research on Complex Systems Northeastern University Boston Massachusetts 02115 USA Guangdong Provincial Key Laboratory of Materials and Technologies for Energy Conversion Guangdong Technion - Israel Institute of Technology Shantou Guangdong 515063 China Technion - Israel Institute of Technology Haifa 32000 Israel

The reduction of surface energy is a well-known driving force for the fragmentation of nanowires. Fragmentation can limit the service life of those small low-dimensional building blocks or can be controlled to induce beneficial shape changes. For isotropic surface energy, fragmentation is analogous to the classic Rayleigh-Plateau instability of liquid jets. However, commonly synthesized crystalline nanowires have strongly anisotropic surface energies and exhibit facets coinciding with cusps in the Wulff plot. Depending on growth orientation, different fragmentation behaviors have been seen in nanowires. Using phase-field simulations, we show that fragmentation of faceted nanowires with cubic crystal symmetry may occur by a finite-amplitude nonlinear instability, as opposed to a Rayleigh-Plateau-like linear instability, depending on nanowire growth orientation. We carry out a weakly nonlinear analysis based on sharp interface theory to characterize the faceted nanowire shape corresponding to a surface-energy saddle point. The analysis predicts that the minimum amplitude of a periodic shape perturbation to trigger fragmentation increases with cusp strength but decreases inversely proportionally to the perturbation wavelength for long wavelengths, in good quantitative agreement with phase-field predictions. The results provide the theoretical foundation to predict nanowire stability as a function of length and surface energy in diverse applications.

关键词： Nanowires Phase-field modeling

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Big data collaborative artificial intelligence and high-performance computing to drive physical design of fusion

Big data collaborative artificial intelligence and high-perf...

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Cloud Computing, Big Data Applications and Software Engineering (CBASE), International Conference on

作者： Pan Liu Gongjie Liu Jie Liu Chencheng Liu Wenbin Xiong Zhangcun Tang Yinzhao Zhou Yonggang Wang Zhouming Yuan Tianfu Innovation Energy Establishment Chengdu China Beijng PARATERA Technology Corp. Ltd Beijing China Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha China Laboratory of Software Engineering for Complex Systems National University of Defense Technology Changsha China Central South University of Forestry and Technology Changsha China Nuclear and Radiation Safety Center MEE Beijing China University of Electronic Science and Technology of China Chengdu China

Controlled thermonuclear fusion has always been a dream pursued by mankind. However, the physical processes of controlled thermonuclear fusion are complex, requiring numerical simulations with high performance computing, and the amount of data generated by the physical processes on spatial, temporal and temperature scales is too large to be captured, managed, processed and collated in a reasonable time frame by mainstream software tools to achieve more aggressive fusion physical design. The data are too large to be captured, managed, processed, and collated into more aggressive targets for fusion physical design in a reasonable time by mainstream software tools. At the same time, the failure of fusion ignition can be caused by the distortion of various key physical quantities, and only by decomposing the process step by step and clarifying the changes of key physical quantities in the fusion physics process, can an effective mechanism be formed to prevent the distortion of key physical quantities from causing ignition failure in experimental physics. Big data in collaboration with artificial intelligence and high performance computing to drive the physical design of fusion is a novel avenue. By data acquisition with and pre-processing, this allows the creation of small sample libraries and deep learning. With supervised learning function convergence, incorporating solid/fluid computational methods, further network layering and cell expansion, the parameters of the physical model conforming to Lawson’s criterion will become experimental physical parameters, and we find the new approach in Data capacity, Model combination approach, Type of material, Calculation speed, Optimisation of design iteration times, etc. are superior to the traditional approach.

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The Multi-Blockchain Based Data Trading Markets with Novel Pricing Mechanisms

SSRN

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SSRN 2022年

作者： Li, Juanjuan Li, Junqing Wang, Xiao Qin, Rui Yuan, Yong Wang, Fei-Yue The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China College of Computer Science and Engineering Shandong University of Science and Technology Qingdao266590 China Qingdao Academy of Intelligent Industries Qingdao266109 China School of Mathematics Renmin University of China Beijing100872 China Macao Institute of Systems Engineering Macau University of Science and Technology 999078 China

Aiming to deal with the challenge of data security and data pricing in data trading markets, we propose the novel multi-blockchain-based framework and design the related pricing mechanisms. Specifically, data recording and trading are conducted separately in the Data Blockchain (DChain) and the Value Blockchain (VChain). Based on these blockchains, two-layer data trading markets are established to manage the initial data trading in the primary market and the data resale in the secondary market. Pricing mechanisms are proposed to protect the formulated data trading markets against strategic trading behaviors and balance the payoffs of both suppliers and users. In the regular data trading on VChain-S2D, two auction models are used to deal with users' strategic bidding in terms of the demand scale, where the incentive-compatible Vickrey-Clarke-Groves (VCG) model is dedicated to the low-demand trading scenario, while the nearly incentive-compatible Monopolistic Price (MP) model is for the high-demand trading scenario. In the temporary data trading on VChain-D2S, a reverse auction mechanism named Two-Stage Obscure Selection (TSOS) is designed to regulate both suppliers' quoting and users' valuation strategies. Moreover, experiments are carried out to validate our theoretical analysis. Our work is expected to enhance the data security and improve the trading efficiency. © 2022, The Authors. All rights reserved.

关键词： Blockchain

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Analysis of overload-based cascading failure in multilayer spatial networks

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Chinese Physics B 2020年第9期29卷 404-414页

作者： Min Zhang Xiao-Juan Wang Lei Ji Mei Song Zhong-Hua Liao School of Science Beijing University of Posts and TelecommunicationsBeijing 100876China School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation CenterBeijing 100854China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System EngineeringBeijing 100854China

Many complex networks in real life are embedded in space and most infrastructure networks are interdependent,such as the power system and the transport *** this paper,we construct two cascading failure models on the multilayer spatial *** our research,the distance l between nodes within the layer obeys the exponential distribution P(l)~exp(-l/ζ),and the length r of dependency link between layers is defined according to node *** entropy approach is applied to analyze the spatial network structure and reflect the difference degree between *** metrics,namely dynamic network size and dynamic network entropy,are proposed to evaluate the spatial network robustness and *** the cascading failure process,the spatial network evolution is analyzed,and the numbers of failure nodes caused by different reasons are also counted,***,we discuss the factors affecting network *** demonstrate that the larger the values of average degree,the stronger the network *** the length r decreases,the network performs *** the probability p is small,asζdecreases,the network robustness becomes more *** p is large,the network robustness manifests better performance asζ*** results provide insight into enhancing the robustness,maintaining the stability,and adjusting the difference degree between nodes of the embedded spatiality systems.

关键词： cascading failure multilayer network load distribution spatial network entropy

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A high performance laser induced graphene (LIG) dual biosensor for simultaneous monitoring of glucose and lactate

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Biosensors and Bioelectronics: X 2025年 24卷

作者： Hamidi, Hassan Murray, Richard Vezzoni, Vincenzo Bozorgzadeh, Somayyeh O'Riordan, Alan Pontiroli, Daniele Riccò, Mauro Quinn, Aidan J. Iacopino, Daniela Tyndall National Institute University College Cork Lee Maltings Complex Dyke Parade CorkT12R5CP Ireland Nanocarbon Laboratory CIDEA & Department of Mathematical Physical and Computer Sciences University of Parma Parco Area Delle Scienze 7/A Parma43124 Italy GISEL National Centre of Reference for Electrochemical Energy Storage Systems INSTM National Interuniversity Consortium of Materials Science and Technology Via Giusti 9 Firenze50121 Italy

The growing demand for efficient and reliable biosensors has driven significant advancements in the development of innovative platforms for real-time monitoring of key biomarkers. In this work, we developed a novel dual biosensing platform designed for simultaneous detection of glucose and lactate, leveraging a laser scribing technology. Individual glucose and lactate biosensors were firstly fabricated, using three electrode designs and Laser Induced Graphene (LIG) as transduction electrode. The individual biosensors displayed high linear range in the relevant sweat physiological range, good sensitivity (41.1 and 12.4 μA mM−1 cm−2 for glucose and lactate, respectively), Limit of Detection (LOD, 14.9 μM and 2.4 mM for glucose and lactate) and superior short- and long-term stability. Following optimization and in-depth characterization of the individual platforms, a dual sensing platform was designed to offer robust and reliable simultaneous detection of glucose and lactate in a single, integrated system. The dual biosensor maintained the performance displayed in single format, exhibiting sensitivities of 41.2 μA cm−2 mM−1 and 12.0 μA cm−2 mM−1 for glucose and lactate, respectively. The dual platform was successfully tested in artificial sweat, demonstrating its potential for precise and reliable biomarker monitoring in continuous health monitoring systems and point-of-care diagnostic. © 2025 The Author(s)

关键词： Glucose

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Enhancing large-scale motions and turbulent transport in rotating plane Poiseuille flow

arXiv

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arXiv 2022年

作者： Zhang, Shengqi Xia, Zhenhua Chen, Shiyi State Key Laboratory for Turbulence and Complex Systems Peking University Beijing100871 China Department of Engineering Mechanics Zhejiang University Hangzhou310027 China Department of Mechanics and Aerospace Engineering Southern University of Science and Technology Shenzhen518055 China

Based on the properties of large-scale plume currents, an injection/suction control strategy is introduced to enhance the strength of plume currents and the turbulent transport of passive scalar in rotating plane Poiseuille flow. The control keeps the classical non-penetrative condition on the stable side, and prescribes spanwise varying wall-normal velocity on the unstable side. Direct numerical simulations show that at medium rotation numbers, very weak injection/suction (the root-mean-square velocity on the controlled side is below 1% of the bulk mean velocity) with properly distributed slots could significantly enhance the large-scale plume currents which have the same spatial distribution as the injection slots. In addition, if the distance between plume currents are increased, the turbulent transport efficiency can be promoted. Therefore, taking the strength and transport efficiency into account, the distance between injection slots should be slightly larger than the intrinsic distance between plume currents to achieve maximum enhancement of turbulent transport. For comparison, the control with non-penetrative condition on the unstable side and injection/suction on the stable side is also examined with simulations. It is found that the injection/suction on the stable side has much weaker influence compared with that on the unstable side. This is because that plumes are generated on the unstable side, and that controlling the origin of plumes is more effective. Copyright © 2022, The Authors. All rights reserved.

关键词： Efficiency

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simulation of two-phase flows at large density ratios and high Reynolds numbers using a discrete unified gas kinetic scheme

arXiv

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arXiv 2022年

作者： Lai, Jun Xiao, Zuoli Wang, Lian-Ping State Key Laboratory for Turbulence and Complex Systems College of Engineering Peking University Beijing100871 China Guangdong Provincial Key Laboratory of Turbulence Research and Applications Center for Complex Flows and Soft Matter Research Department of Mechanics and Aerospace Engineering Southern University of Science and Technology Shenzhen518055 China Guangdong-Hong Kong-Macao Jt. Lab. for Data-Driven Fluid Mechanics and Engineering Applications Southern University of Science and Technology Shenzhen518055 China

In order to treat immiscible two-phase flows at large density ratios and high Reynolds numbers, a three-dimensional code based on the discrete unified gas kinetic scheme (DUGKS) is developed, incorporating two major improvements. First, the particle distribution functions at cell interfaces are reconstructed using a weighted essentially non-oscillatory scheme. Second, the conservative lower-order Allen-Cahn equation is chosen, instead of the higher-order Cahn-Hilliard equation, to evolve the free-energy-based phase field governing the dynamics of two-phase interfaces. Five benchmark problems are simulated to demonstrate the capability of the approach in treating two-phase flows at large density ratios and high Reynolds numbers, including three two-dimensional problems (a stationary droplet, Rayleigh-Taylor instability, and a droplet splashing on a thin liquid film) and two three-dimensional problems (binary droplets collision and Rayleigh-Taylor instability). All results agree well with the previous numerical and the experimental results. In these simulations, the density ratio and Reynolds number can reach a large value of O(1000). Our improved approach sets the stage for the DUGKS scheme to handle realistic two-phase flow problems. Copyright © 2022, The Authors. All rights reserved.

关键词： Reynolds number

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Muon-Induced SEU Analysis and simulation for Different Cell Types in 12-nm FinFET SRAMs, and 28-nm Planar SRAMs and Register Files

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IEEE Transactions on Nuclear science 2025年

作者： Gomi, Yuibi Takami, Kazusa Mizuno, Rurie Niikura, Megumi Yasuda, Ryuichi Deng, Yifan Kawase, Shoichiro Watanabe, Yukinobu Abe, Shin-Ichiro Liao, Wang Tampo, Motonobu Takeshita, Soshi Shimomura, Koichiro Miyake, Yasuhiro Hashimoto, Masanori Kyoto University Department of Informatics Kyoto606-8501 Japan The University of Tokyo Department of Physics Tokyo113-0033 Japan RIKEN Nishina Center for Accelerator-Based Science Saitama351-0198 Japan Kyushu University Faculty of Engineering Sciences Fukuoka816-8580 Japan Tokai319-1195 Japan Kochi University of Technology School of Systems Engineering Kami782-8502 Japan Muon Science Laboratory Tokai319-1106 Japan Japan Proton Accelerator Research Complex Center Muon Section Materials and Life Science Division Naka-gun319-1195 Japan

We investigated the effects of positive and negative muons on 12-nm FinFET SRAMs and 28-nm planar SRAMs and register file (RF). For 12-nm devices, negative muons led to larger SEU cross sections in 2-fin or smaller cells, while positive muons showed a weaker dependence on the number of fin, with SEU cross sections increasing as cell area decreased. Similar trends were observed in 28-nm devices, where SRAM exhibited a higher SEU cross section under positive muons, while RF showed a larger SEU cross section under negative muons. simulations reproduced experimental results for positive muons using a conventional single sensitive volume (SSV) method, but negative muons posed challenges due to nuclear species with different LET values. Standard SSV and multiple sensitive volume (MSV) models failed to align with experimental data, but an approximation assigning separate critical charge (Qc) values for muon direct ionization and secondary-ion ionization successfully reproduced the results, highlighting the need for particle-specific sensitive volume configurations. © 2025 IEEE.

关键词： FinFET

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