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Enhanced thermal and mechanical properties of aluminum nitride ceramics through controlled whisker alignment: A comparative study of unidirectional and bidirectional configurations

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Ceramics International 2025年第16期51卷 22368-22376页

作者： Seo, Yewon Ahn, Byeongho Jeong, Hyeondeok Nahm, Sahn Ryu, Sung-Soo Engineering Materials Center Korea Institute of Ceramic Engineering and Technology Icheon17303 Korea Republic of Department of Materials Science and Engineering Korea University Seoul02841 Korea Republic of Institute of Advanced Composite Materials Korea Institute of Science and Technology Wanju55324 Korea Republic of

This study investigates the effects of aluminum nitride (AlN) whisker alignment on the thermal and mechanical properties of AlN ceramics fabricated through tape casting. By systematically comparing unidirectional (UNI) and bidirectional (BI) whisker arrangements, we examine how alignment configurations influence microstructural development and resulting properties. Bidirectionally aligned specimens achieved the highest thermal conductivity (200Wm−1K−1, 30% increase) through three-dimensional networks of AlN whiskers. In contrast, unidirectionally aligned specimens exhibited superior mechanical performance with a 35% increase in fracture toughness (4.9MPam0.5) through multiple toughening mechanisms enabled by bundles of closely-spaced whiskers. The enhanced properties stem from controlled anisotropic shrinkage during sintering, which creates optimized whisker spacing and orientation. Detailed microstructural analysis reveals distinct toughening mechanisms including crack deflection, branching, and grain bridging in UNI specimens, while BI specimens benefit from interconnected thermal pathways. This study demonstrates that controlled whisker alignment offers an effective approach to tailoring the thermal and mechanical properties of AlN substrates. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Aluminum nitride

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A new optimal allocation of DGs in distribution networks by using coot bird optimization method

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Energy Informatics 2023年第1期6卷 30页

作者： Memarzadeh, Gholamreza Arabzadeh, Mohammadreza Keynia, Farshid Department of Power and Control Engineering Graduate University of Advanced Technology Kerman Iran Department of Energy Management and Optimization Institute of Science and High Technology and Environmental Sciences Graduate University of Advanced Technology Kerman Iran

Energy is one of the most important topics in the world today and is considered as one of the most effective factors for the development of countries. Due to the limitation of non-renewable energy sources and undesirable effects of consuming these resources on the environment, the strategy of countries has changed towards the use of renewable energy. Renewable energy sources do not decrease over time and operate independently of price fluctuations and are more available, thus being able to play a greater role in modern power systems. Therefore, the optimal location and use of these resources will have an impact on modifying the parameters of the power grid. In this paper an analytical approach for optimal placement and sizing of distributed generation (DG) in power distribution networks to minimize the power loss, bus voltage limits, DG capacity limits, current limits, and DG penetration limit. In the first step, determines the DG capacity causing maximum benefit at different buses, and then selects the best location for DG placement which corresponds to highest benefit in the buses. This method is applicable for sizing and siting of single as well as multiple DG units. The coot bird optimization method (CBOM) is proposed for solving optimal placement, size, and power factor (PF) of DG in distribution network. The suggested method is tested on the IEEE 33-bus, 69-bus, Distribution Networks. The proposed CBOM method has good performance to find optimal placement, size, and PF of DG and it can be applied for various distribution system. © 2023, Springer Nature Switzerland AG.

关键词： Birds

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Mechanical and shape-memory properties of TPMS with hybrid configurations and materials

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International Journal of Smart and Nano Materials 2024年第4期15卷 786-810页

作者： Tianzhen Liu Wei Zhao Yongtao Yao Cheng Lin Hanxing Zhao Jianguo Cai Key Laboratory of C&PC Structures of Ministry of Education National Prestress Engineering Research CenterSoutheast UniversityNanjingChina Department of Astronautical Science and Mechanics Harbin Institute of TechnologyHarbinChina National Key Laboratory of Science and Technology on Advanced Composites in Special Environments Harbin Institute of TechnologyHarbinChina

Triply periodic minimal surface(TPMS)structures with excellent properties of stable energy absorption,light weight,and high specific strength could potentially spark immense interest for novel and programmable functions by combining smart materials,*** memory polymers(SMPs).This work proposes TPMS lattices with hybrid configurations and materials that are composed of viscoelastic and shape-memory materials with the aim to bring temperature-dependent mechanical properties and additional dissipation *** configurations and diverse materials of polylactic acid(PLA),fiber-reinforced PLA,and polydimethylsiloxane(PDMS)are induced,generating five types of TPMS lattices,including(Schoen’s I-WP)IWP uniform lattice,IWP lattice with density gradient,hybrid configurations,hybrid materials,and filled PDMS,which are fabricated by 3D *** fracture morphologies and the distribution of carbon fibers are demonstrated via scanning electron microscopy with a focus on the influence of carbon fiber on shape-memory and mechanical *** recovery tests are conducted,which proves good shape memory properties and reusable capability of TPMS *** combined methods of experiments and numerical simulation are adopted to evaluate mechanical properties,which presents multi-stage energy absorption ability and tunable vibration isolation performances associated with temperature and hybridization *** work can promote extensive research and provide substantial opportunities for TPMS lattices in the development of functional applications.

关键词： Triply periodic minimal surface shape memory property hybridization multi-stage energy absorption

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Heterogeneous system synthesis of high quality PbS quantum dots for efficient infrared solar cells

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Nano Research 2023年第4期16卷 5750-5755页

作者： Bo Wang Mingyu Li Yuxuan Liu Xinyi Liang Yang Yang Xinzheng Lan Liang Gao Jianbing Zhang Jiang Tang Wuhan National Laboratory for Optoelectronics(WNLO) Huazhong University of Science and Technology(HUST)Wuhan 430074China School of Optical and Electronic Information Huazhong University of Science and Technology(HUST)Wuhan 430074China Wenzhou Advanced Manufacturing Technology Research Institute Huazhong University of Science and TechnologyWenzhou 325035China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen 518057China Optics Valley Laboratory Wuhan 430074China

As promising optoelectronic materials,lead sulfide quantum dots(PbS QDs)have attracted great ***,their applications are substantially limited by the QD quality and/or complicated ***,a facile new synthesis is developed for highly monodisperse and halide passivated PbS *** new synthesis is based on a heterogeneous system containing a PbCl_(2)-Pb(OA)_(2)solid-liquid precursor *** solid PbCl_(2)inhibits the diffusion of monomers and maintains a high oversaturation condition for the growth of PbS QDs,resulting in high *** addition,the PbCl_(2)gives rise to halide passivation on the PbS QDs,showing excellent stability in *** high monodispersity and good passivation endow these PbS QDs with outstanding optoelectronic properties,demonstrated by a 9.43%power conversion efficiency of PbS QD solar cells with a bandgap of~0.95 eV(1,300 nm).We believe that this heterogeneous strategy opens up a new avenue optimizing for the synthesis and applications of QDs.

关键词： heterogeneous system synthesis lead sulfide quantum dots high monodispersities halide passivation infrared solar cells

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A deep Q-learning model for sequential task offloading in edge AI systems

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Intelligent and Converged Networks 2024年第3期5卷 207-221页

作者： Dong Liu Shiheng Gu Xinyu Fan Xu Zheng Department of Computer Science and Engineering University of Electronic Science and Technology of ChinaChengdu 610000China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of ChinaShenzhen 515100China Department of Information and Software Engineering University of Electronic Science and Technology of ChinaChengdu 610000China

Currently,edge Artificial Intelligence(AI)systems have significantly facilitated the functionalities of intelligent devices such as smartphones and smart cars,and supported diverse applications and *** fundamental supports come from continuous data analysis and computation over these *** the resource constraints of terminal devices,multi-layer edge artificial intelligence systems improve the overall computing power of the system by scheduling computing tasks to edge and cloud servers for *** efforts tend to ignore the nature of strong pipelined characteristics of processing tasks in edge AI systems,such as the encryption,decryption and consensus algorithm supporting the implementation of Blockchain ***,this paper proposes a new pipelined task scheduling algorithm(referred to as PTS-RDQN),which utilizes the system representation ability of deep reinforcement learning and integrates multiple dimensional information to achieve global task ***,a co-optimization strategy based on Rainbow Deep Q-Learning(RainbowDQN)is proposed to allocate computation tasks for mobile devices,edge and cloud servers,which is able to comprehensively consider the balance of task turnaround time,link quality,and other factors,thus effectively improving system performance and user *** addition,a task scheduling strategy based on PTS-RDQN is proposed,which is capable of realizing dynamic task allocation according to device *** results based on many simulation experiments show that the proposed method can effectively improve the resource utilization,and provide an effective task scheduling strategy for the edge computing system with cloud-edge-end architecture.

关键词： edge computing task scheduling reinforcement learning Rainbow Deep Q-Learning(RainbowDQN)

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Experimental Study on Geometry Characteristics of Turbulent Premixed Flames for Natural Gas/Air Mixtures

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Journal of Thermal science 2025年第1期34卷 268-282页

作者： ZHENG Weilin WANG Qijiao XIAO Huahua CHEN Xiaoxiao XIE Fan ZENG Wen Liaoning Key Lab of Advanced Test Technology for Aerospace Propulsion System Shenyang Aerospace UniversityShenyang 110136China State Key Laboratory of Fire Science University of science and Technology of ChinaHefei 230027China AVIC Shenyang Aircraft Design and Research Institute Shenyang 110035China

In this study,focusing on the geometry characteristics of spherical expanding flame,the turbulent premixed flames of natural gas/air mixtures were investigated in a fan-stirred turbulent *** effects of initial temperature(T=300-400 K),initial pressure(P=0.1-0.3 MPa),turbulence intensity(u'=1.0-2.7 m/s),oxygen volumetric percentage(φ(O_(2))=15%-21%)and carbon dioxide volumetric percentage(φ(CO_(2))=0-20%)were delved *** flame profile under the Cartesian coordinate system was derived from the schlieren images taken by the high-speed ***,from both macroscopic and microscopic perspectives,the influence of experimental conditions on the flame geometry characteristics was explored through flame front extraction,wavelet decomposition and network *** results demonstrate that for significant flame wrinkling,changes in species concentrations and turbulence intensity have more pronounced effects on the flame wrinkling *** wrinkling of the flame front maintains a certain degree of similarity,as evidenced by the locally concentrated distribution of the angles of the maximum fluctuation *** disturbance energy under large-scale(D6-D8)disturbances exhibits relatively high values with a similar trend,exerting a significant impact on the geometry characteristics of the flame *** peaks of correlation degree are scattered either with the decomposition scale or the development of flame radius,indicating no linear correlation between different detail ***,the probability distribution of node degrees in key wrinkled regions exhibits different trends with that of large-scale wrinkling and disturbance energy,especially with changes in initial *** occurs because the number of key wrinkles varies based on the perturbation's strength or the region's ***,an increase in the fluctuation frequency of the flame's local radius may not necessarily lead to an increase in the number of key folded regions.

关键词： geometry characteristics large-scale wrinkling wavelet decomposition network topology fan-stirred turbulent combustor

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ABMs in Game Approach for Physics Learning

ABMs in Game Approach for Physics Learning

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2023 IEEE International Conference on Agents, ICA 2023

作者： Zhu, Chenkai Gu, Wen Ota, Koichi Hasegawa, Shinobu Graduate School of Advanced Science and Technology Japan Advanced Institute of Science and Technology Ishikawa Japan Center for Innovative Distance Education and Research Japan Advanced Institute of Science and Technology Ishikawa Japan

ISBN: (纸本)9798350312782

In recent years, there has been significant research conducted on the integration of game approach into education, particularly focusing on the utilization of Agent-based models (ABMs). These ABMs have gained prominence due to the advancement of computational technology, offering a flexible and creative approach to reshape science education. This study delves into the application of ABM technology within fundamental scientific learning games, aiming to explore the effects of incorporating ABMs into the game approach for learning of physics. Through this investigation, the potential transformational influence of ABMs on enhancing the game approach of physics education is examined. © 2023 IEEE.

关键词： Autonomous agents

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Multi-state photoluminescent properties of an overcrowded alkene-based molecular motor in aggregates

Aggregate

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Aggregate 2024年第5期5卷 1-8页

作者： Yahan Shan Jinyu Sheng Qi Zhang Marc C.A.Stuart Da-Hui Qu Ben L.Feringa Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center School of Chemistry and Molecular EngineeringEast China University of Science and TechnologyShanghaiChina Stratingh Institute for Chemistry and Zernike Institute for Advanced Materials University of GroningenGroningenNetherlands Institute of Science and Technology Austria KlosterneuburgAustria

Photoisomerization and photoluminescence are two distinct energy dissipation path-ways in light-driven molecular *** photoisomerization properties of discrete molecular motors have been well established in solution,but their photoluminescent properties have been rarely reported-especially in ***,it is shown that an overcrowded alkene-based molecular motor exhibits distinct dynamic prop-erties in solution and aggregate states,for example,gel and solid *** the poor emissive properties of molecular motors in solution,a bright emission is observed in the aggregate states,including in gel and the crystalline *** emis-sion wavelength is highly dependent on the nature of the supramolecular packing and order in the *** a result,the fluorescent color can be readily tuned reversibly via mechanical grinding and vapor fuming,which provides a new platform for developing multi-stimuli functional materials.

关键词： aggregation-induced emission gelation-induced emission mechanochromicﬂuorescence molecular motor photoluminescence

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High-efficiency exudates drainage of anti-adhesion dressings for chronic wound

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Chinese Chemical Letters 2025年第4期36卷 558-563页

作者： Bingyang Lu Dehui Wang Junchang Guo Yang Shen Qian Feng Jinlong Yang Xiao Han Huali Yu Luohuizi Li Jiaxin Liu Jing Luo Huan Liu Zhongwei Zhang Xu Deng Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu 610054China Department of Critical Care Medicine West China Hospital of Sichuan UniversityChengdu 610041China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of ChinaShenzhen 518110China

Secondary trauma, resulting in undesirable injury and bleeding during wound dressing treatment, which will cause the treatment of chronic wounds ineffective. The medical cotton gauzes often bring strong adhesion due to the exudates absorbed and clots formed. Conversely, the easily detachable wound dressings neglect the wound seepage management, rendering them ineffective in facing the complexities of chronic wounds. To address this challenge, we propose a novel draining anti-adhesion dressings(DAD) by constructing the hydrophilic microchannels array on the superhydrophobic dressing. The superhydrophobic areas facilitate stable wound fiuid repellence leading to achieve the anti-adhesion(18.7% detachment energy of cotton) and the microchannel array ensures the transportation of excess exudates(>92%) by the capillary force. Notably, our dressing demonstrates a significant healing-promoting in a chronic wound model in rats. The development of such dressings holds promise for advancing wound care practices and addressing the unique challenges posed by chronic wounds, offering a valuable solution for improved clinical outcomes.

关键词： Superhydrophobic-hydrophilic Biological fiuids repelled Anti-adhesion and secondary trauma prevention Exudates transport Chronic wound healing treatment

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Enhanced nanocrystalline stability of BCC iron via copper segregation

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Progress in Natural science:Materials International 2023年第2期33卷 185-192页

作者： Feiyang Wang Linshuo Dong Hong-Hui Wu Penghui Bai Shuize Wang Guilin Wu Junheng Gao Jiaming Zhu Xiaoye Zhou Xinping Mao Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Carbon Neutrality University of Science and Technology Beijing Institute of Materials Intelligent Technology Liaoning Academy of Materials Institute of Steel Sustainable Technology Liaoning Academy of Materials School of Civil Engineering Shandong University Department of Materials Science and Engineering Shenzhen MSU-BIT University

Nanocrystalline alloys are known for their high density of grain boundaries(GBs), which results in low thermal stability and a tendency for coarsening. In this work, we investigated Fe–Cu alloys to explore the effects of Cu concentration on the thermal stability of nanocrystalline samples. Using hybrid molecular dynamics(MD) and Monte Carlo(MC) simulations, annealing treatments of nanocrystalline samples with varied Cu concentrations were conducted. The simulation results revealed that Cu atoms tended to accumulate at GBs. Subsequently, the model with Cu segregation was subjected to mechanical creep loading at various temperatures. Through the analysis of atomic structure evolution during creep deformation, it was found that Cu segregation efficiently stabilizes GBs and restricts their movement. The present findings highlight that the thermal stability of nanocrystalline Fe–Cu alloys can be effectively improved by introducing suitable Cu segregation at GBs.

关键词： Nanocrystalline alloys Molecular dynamics simulations Grain boundary Thermal stability

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