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Industrial Chemistry & Materials 2023年第3期1卷 376-387页

作者： Shuangjiang Luo Tianliang Han Can Wang Ying Sun Hongjun Zhang Ruilan Guo Suojiang Zhang CAS Key Laboratory of Green Process and Engineering State Key Laboratory of Multiphase Complex SystemsBeijing Key Laboratory of Ionic Liquids Clean ProcessInstitute of Process EngineeringChinese Academy of Sciences(CAS)Beijing 100190China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of ChinaHefei 230026China Department of Chemical and Biomolecular Engineering University of Notre DameNotre DameIN 46556USA Longzihu New Energy Laboratory Zhengzhou 450000China Henan University Jinming RoadKaifeng475004China

The implementation of synthetic polymer membranes in gas separations,ranging from natural gas sweetening,hydrogen separation,helium recovery,carbon capture,oxygen/nitrogen enrichment,etc.,has stimulated the vigorous development of high-performance membrane ***,size-sieving types of synthetic polymer membranes are frequently subject to a trade-off between permeability and selectivity,primarily due to the lack of ability to boost fractional free volume while simultaneously controlling the micropore size ***,we review recent research progress on microporosity manipulation in high-free-volume polymeric gas separation membranes and their gas separation performance,with an emphasis on membranes with hourglass-shaped or bimodally distributed ***-of-the-art strategies to construct tailorable and hierarchically microporous structures,microporosity characterization,and microcavity architecture that govern gas separation performance are systematically summarized.

关键词： Gas separation membranes Hierarchical microporosity Micropore size distribution Configurational free volume Solution-diffusion mechanism

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Tetris-Style Stacking Process to Tailor the Orientation of Carbon Fiber Scaffolds for Efficient Heat Dissipation

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Nano-Micro Letters 2023年第9期15卷 310-324页

作者： Shida Han Yuan Ji Qi Zhang Hong Wu Shaoyun Guo Jianhui Qiu Fengshun Zhang The State Key Laboratory of Polymer Materials Engineering Sichuan Provincial Engineering Laboratory of Plastic/Rubber Complex Processing TechnologyPolymer Research Institute of Sichuan UniversityChengdu 610065People’s Republic of China Department of Mechanical Engineering Faculty of Systems Science and TechnologyAkita Prefectural University015-0055AkitaJapan Institute of Chemical Materials China Academy of Engineering PhysicsMianyang 621900People’s Republic of China

As the miniaturization of electronic devices and complication of electronic packaging,there are growing demands for thermal interfacial materials with enhanced thermal conductivity and the capability to direct the heat toward heat sink for highly efficient heat ***-based carbon fiber(CF)with ultrahigh axial thermal conductivity and aspect ratios exhibits great potential for developing thermally conductive composites as ***,it is still hard to fabricate composites with aligned carbon fiber in a general approach to fully utilize its excellent axial thermal conductivity in specific ***,three types of CF scaffolds with different oriented structure were developed via magnetic field-assisted Tetris-style stacking and carbonization *** regulating the magnetic field direction and initial stacking density,the self-supporting CF scaffolds with horizontally aligned(HCS),diagonally aligned and vertically aligned(VCS)fibers were *** embedding the polydimethylsiloxane(PDMS),the three composites exhibited unique heat transfer properties,and the HCS/PDMS and VCS/PDMS composites presented a high thermal conductivity of 42.18 and 45.01 W m^(−1)K^(−1)in fiber alignment direction,respectively,which were about 209 and 224 times higher than that of *** excellent thermal conductivity is mainly ascribed that the oriented CF scaffolds construct effective phonon transport pathway in the *** addition,fishbone-shaped CF scaffold was also produced by multiple stacking and carbonization process,and the prepared composites exhibited a controlled heat transfer path,which can allow more versatility in the design of thermal management system.

关键词： Carbon fiber Magnetic field Thermal management Thermally conductive composites

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A classical density functional approach to depletion interaction of Lennard-Jones binary mixtures

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Communications in Theoretical Physics 2022年第3期74卷 87-96页

作者： Yue Chen Wei Chen Xiaosong Chen CAS Key Laboratory of Theoretical Physics Institute of Theoretical PhysicsChinese Academy of SciencesBeijing 100190China School of Physical Sciences University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory of Multiphase Complex Systems Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China School of Systems Science Beijing Normal UniversityBeijing 100875China

In this article,we apply classical density functional theory to investigate the characteristics of depletion interaction in Lennard-Jones(LJ)binary fiuid ***,to confirm the validity of our adopted density functional formalism,we calculate the radial distribution functions using a theoretical approach and compare them with results obtained by molecular dynamics ***,this approach is applied to two colloids immersed in LJ solvent *** investigate the variation of depletion interaction with respect to the distance of two colloids in LJ binary *** find that depletion interaction may be attractive or repulsive,mostly depending on the bulk density of the solvent and the temperature of the binary *** high bulk densities,the repulsive barrier of depletion force is remarkable when the total excluded volume of colloids touches each other and reaches a *** height of the repulsive barrier is related to the parameters of the LJ potential and bulk ***,the depletion force may exhibit attractive wells if the bulk density of the solvent is *** attractive well tends to appear when the surface-surface distance of colloids is half of the size of the polymer and deepens with temperature lowering in a fixed bulk *** contrast with the hard-sphere system,no oscillation of depletion potential around zero is observed.

关键词： molecular simulation density functional theory depletion interaction soft matter physics colloid-polymer mixtures

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Synthesis ofγ-MnS/nanoporous carbon/reduced graphene oxide composites for high-performance supercapacitor

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Carbon Resources Conversion 2022年第3期5卷 222-230页

作者： Abiola Ganiyat Olatoye Jie Zhang Qianyu Wang Erping Cao Wenli Li Emmanuel Oluwaseyi Fagbohun Yanbin Cui State Key Laboratory of Multiphase Complex Systems Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China

In the present work,nanoporous carbon(NPC)was prepared from a metal-organic framework(zeolite imidazolate framework 8,ZIF-8).Different concentrations of graphene oxide(GO)were used to make NPC/reduced graphene oxide(NPC/rGO-x,x=0.5,1.0,1.5,and 2.0)composites,and thenγ-MnS/NPC/rGO-1 composite was synthesized via a simple hydrothermal *** electrochemical characteristics of porous carbon composites(NPC/rGO-x)andγ-MnS/NPC/rGO-1 electrodes were investigated by galvanostatic charge and discharge,cyclic voltammetry,and electrochemical impedance ***/rGO-1 showed the highest specific capacitance of 207 F/g at 0.5 A/***,theγ-MnS/NPC/rGO-1 electrode demonstrates exceptional electrochemical performance with a high specific capacitance of 300 F/g at 0.5 A/g and impressive cyclic stability of 70%capacitance retention after 10,000 cycles at 1 A/*** a result,this study demonstrates thatγ-MnS/NPC/rGO-1 electrode can be considered a promising candidate for high-performance supercapacitors.

关键词： Metal-organic framework Nanoporous carbon Reduced graphene oxide γ-MnS Supercapacitor

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Spatiotemporal information conversion machine for time-series forecasting

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Fundamental Research 2024年第6期4卷 1674-1687页

作者： Hao Peng Pei Chen Rui Liu Luonan Chen School of Mathematics South China University of TechnologyGuangzhou 510640China Key Laboratory of Systems Biology Shanghai Institute of Biochemistry and Cell BiologyCenter for Excellence in Molecular Cell ScienceChinese Academy of SciencesShanghai 200031China Key Laboratory of Systems Health Science of Zhejiang Province School of Life ScienceHangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesChinese Academy of SciencesHangzhou 310024China Guangdong Institute of Intelligence Science and Technology Zhuhai 519031China West China Biomedical Big Data Center Med-X center for informaticsWest China HospitalSichuan UniversityChengdu 610041China

Making time-series forecasting in a robust way is a difficult task only based on the observed data of a non-linear *** this work,a neural network computing framework,the spatiotemporal information conver-sion machine(STICM),was developed to efficiently and accurately render a forecasting of a time series by employing a spatial-temporal information(STI)*** combines the advantages of both the STI equation and the temporal convolutional network,which maps the high-dimensional/spatial data to the future temporal values of a target variable,thus naturally providing the forecasting of the target *** the observed variables,the STICM also infers the causal factors of the target variable in the sense of Granger causality,which are in turn selected as effective spatial information to improve the robustness of time-series *** STICM was successfully applied to both benchmark systems and real-world datasets,all of which show superior and robust performance in timeseries forecasting,even when the data were perturbed by *** both theoretical and computational viewpoints,the STICM has great potential in practical applications in artificial intelligence or as a model-free method based only on the observed data,and also opens a new way to explore the observed high-dimensional data in a dynamical manner for machine learning.

关键词： Spatiotemporal information conversion network Robust time-series forecasting High-dimensional time series Takens’embedding theory Causal inference

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A Novel Thermal Analysis Method for Tubular PM Linear Motors Based on Transfer Learning

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IEEE Transactions on Transportation Electrification 2025年第3期11卷 7379-7388页

作者： Wu, Tao Dai, Peipei Xue, Gang Guo, Youguang Lei, Gang Zhu, Jianguo Wang, Yifei China University of Geosciences School of Automation Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China University of Technology Sydney School of Electrical and Data Engineering UltimoNSW2007 Australia The University of Sydney School of Electrical and Computer Engineering SydneyNSW2006 Australia

Thermal modeling and analysis are critical for permanent magnet linear synchronous motors (PMLSMs), particularly in multiphysical analysis and motor design optimization. This article proposes a new method for thermal steady state modeling and analysis based on transfer learning (TL), which combines the thermal mechanism model with the data-driven model to achieve high-precision temperature analysis with small number of finite element analysis (FEA) samples. First, an equivalent thermal circuit (ETC) model is established for PMLSMs based on the structural parameters and heat transfer principles. Second, a hybrid model based on TL is developed: the model is pretrained by a large sample set generated from the ETC in the source field (mechanism analytical model), and then, the trained model is transferred to the target field (FEA data-driven model). The parameters of the neural network in the target field are optimized by a few FEA sample sets with higher precision to improve the prediction accuracy of the target model. Experimental results demonstrate that the proposed method significantly boosts the performance of the deep neural network (DNN) model, particularly when training sets are small. The root mean square error (RMSE) of the DNN model decreases by 0.901 in the 5:5 (training/testing) dataset and 1.726 in the 2:8 dataset;and the corresponding R^data and maximal absolute error of motor performances are significantly decreased. The smaller the proportion of the training set, the better performance of the hybrid modeling will achieve. Furthermore, a temperature rise experiment conducted on a prototype motor validates the efficacy and precision of the proposed hybrid modeling methodology. © 2015 IEEE.

关键词： Permanent magnets

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From DAO to TAO: Finding the Essence of Decentralization

From DAO to TAO: Finding the Essence of Decentralization

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2023 IEEE International Conference on systems, Man, and Cybernetics, SMC 2023

作者： Li, Juanjuan Liang, Xiaolong Qin, Rui Wang, Fei-Yue Institute of Automation State Key Laboratory of Multimodal Artificial Intelligence Systems Chinese Academy of Sciences Beijing100190 China Macau University of Science and Technology Faculty of Innovation Engineering Macau999078 China Institute of Automation State Key Laboratory for Management and Control of Complex Systems Chinese Academy of Sciences Beijing100190 China

ISBN: (纸本)9798350337020

Decentralized Autonomous Organizations (DAOs) have been gaining popularity in recent years due to their promise of realizing the decentralized Web 3.0. However, most DAOs rely heavily on token-centric value systems as well as allocate decision-making authority and yield-sharing rights according to the held tokens, which often lead to monopolization of power and rights. To address this issue, this paper contributes to propose a truly democratic organization model, named True Autonomous Organizations and Operations (TAOs), that does not count upon tokens and is guided by principles of contribution-based and on-demand allocation. We first discuss the design of TAOs, including their infrastructures, power structures, and value systems, and then provide a technical roadmap for implementing TAOs in the DeSci context. This research can provide a valuable guidance for the construction and application of TAOs. © 2023 IEEE.

关键词： Decentralized Autonomous Organizations and Operations (DAOs) governance systems open consortium blockchain True Autonomous Organizations and Operations (TAOs) value systems

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Trusted Non-intrusive data Exchange based on Ontology in Logistics Industry 3

Trusted Non-intrusive Data Exchange based on Ontology in Log...

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2023 3rd International Conference on Big data, Artificial Intelligence and Risk Management, ICBAR 2023

作者： Xu, Lianzheng Fu, Deqian Qiu, Jianlong School of Information Science and Engineering Linyi University Shandong Province Linyi City China Key Laboratory of Complex Systems and Intelligent Computing in Universities of Shandong Linyi University of Linyi City Shandong China

ISBN: (纸本)9798400716478

The logistics industry is becoming increasingly important in our daily lives, leading to a growing demand for digitalization within the sector. However, due to concerns about data privacy, logistics entities have formed natural information silos, which have made logistics data difficult to exchange and share. To address this issue, this paper proposes an ontology-based logistics data exchange model that utilizes blockchain technology to establish user trust among information silos. The model in this paper fuses non-intrusive data access and Ontology-Based data Access (OBDA) to achieve both precise control over the data access process and interconnection among heterogeneous systems. The proposed model creates a new trustworthy and controllable solution for the circulation of logistics data within the logistics industry, without the need for the secondary development of logistics information systems. © 2023 ACM.

关键词： Ontology

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Design, Analysis, and Experiment of a Novel Ultrasonic Printing System

Design, Analysis, and Experiment of a Novel Ultrasonic Print...

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2022 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale, 3M-NANO 2022

作者： Pei, Zhichao Zhao, Haoxiang Li, Dongjie Wang, Lefeng Rong, Weibin Sun, Lining Harbin Institute of Technology State Key Laboratory of Robotics and Systems Harbin China Harbin University of Science and Technology Heilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration Harbin China

ISBN: (数字)9781665475433

ISBN: (纸本)9781665475433

Ultrasonic-driven printing technology is widely used in bioprinting because of its high precision, good biocompatibility, and low cost. However, the conventional ultrasonic printing technology still has problems such as cross-contamination of bio-ink during storage, transportation, and processing, and cumbersome ink replacement process. Therefore, a new ultrasonic printing device is developed in this paper, which uses PZT plates as the driving element. And a fluid sub-system has been fabricated based on the self-made glass micro-nozzle, which is connected to the drive element using ultrasonic couplant gel. The separation of the fluid system and the drive system has been realized through the modular design, thereby realizing the rapid replacement of different inks and this relatively independent fluid system is of great benefit to better sealing and aseptic operation. In addition, a digital model is built to analyze its working mechanism. And an experimental system is established to characterize the performance of the device. The results show that the system can generate droplets stably and accurately, and the droplet volume can be controlled by the excitation voltage amplitude and pulse width. © 2022 IEEE.

关键词： Biocompatibility

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Study on the static properties of spiral springs under static loading

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Applied Mathematics and Mechanics(English Edition) 2021年第11期42卷 1571-1580页

作者： Zhixiang LI Zhen ZHAO Caishan LIU Qingyun WANG School of Aeronautic Science and Engineering Beihang UniversityBeijing 100191China State Key Laboratory for Turbulence and Complex Systems College of EngineeringPeking UniversityBeijing 100871China

Spiral springs have a wide range of applications in various *** a result of the complexity of friction,few theoretical analyses of spring belts under static loading have been carried *** the piecewise smooth property of the whole contact area,a simplified static model of spiral springs under loading is established in this ***,three main stress and friction distribution areas of the spring belt are proposed,namely,internal,transitional,and external *** the outermost side of the spring is not subject to any pressure,a recursive method is adopted from the outside to the *** model provides the parameter conditions,i.e.,the internal and external forces are independent or ***,the case that the whole contact region of the spring belt has one subregion,two subregions,and three subregions is *** model gives a theoretical basis for the parameter optimization of spiral springs.

关键词： spiral spring simplified static model recursive method piecewise smooth feature

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