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A credibility-aware swarm-federated deep learning framework in internet of vehicles

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Digital Communications and Networks 2024年第1期10卷 150-157页

作者： Zhe Wang Xinhang li tianhao Wu Chen Xu lin Zhang School of Artificial Intelligence Beijing University of Posts and TelecommunicationsBeijing100876China

Although Federated Deep Learning(FDL)enables distributed machine learning in the Internet of Vehicles(IoV),it requires multiple clients to upload model parameters,thus still existing unavoidable communication overhead and data privacy risks.The recently proposed Swarm Learning(SL)provides a decentralized machine learning approach for unit edge computing and blockchain-based coordination.A Swarm-Federated Deep Learning framework in the IoV system(IoV-SFDL)that integrates SL into the FDL framework is proposed in this paper.The IoV-SFDL organizes vehicles to generate local SL models with adjacent vehicles based on the blockchain empowered SL,then aggregates the global FDL model among different SL groups with a credibility weights prediction algorithm.Extensive experimental results show that compared with the baseline frameworks,the proposed IoV-SFDL framework reduces the overhead of client-to-server communication by 16.72%,while the model performance improves by about 5.02%for the same training iterations.

关键词： Swarm learning Federated deep learning Internet of vehicles Privacy Efficiency

Recent advances and perspectives in MXene-based cathodes for aqueous zinc-ion batteries

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International Journal of Minerals,Metallurgy and Materials 2024年第7期31卷 1752-1765页

作者： Aiduo Wu tianhao Wang Long Zhang Chen Chen Qiaomin li Xuanhui Qu Yongchang liu Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and TechnologyState Key Laboratory for Advanced Metals and MaterialsUniversity of Science and Technology BeijingBeijing 100083China School of Materials Science and Engineering University of Science and Technology BeijingBeijing 100083China School of Economics and Management University of Science and Technology BeijingBeijing 100083China

Aqueous zinc-ion batteries(AZIBs)show great potential for applications in grid-scale energy storage,given their intrinsic safety,cost effectiveness,environmental friendliness,and impressive electrochemical performance.However,strong electrostatic interactions exist between zinc ions and host materials,and they hinder the development of advanced cathode materials for efficient,rapid,and stable Zn-ion storage.MXenes and their derivatives possess a large interlayer spacing,excellent hydrophilicity,outstanding electronic conductivity,and high redox activity.These materials are considered“rising star”cathode candidates for AZIBs.This comprehensive review discusses recent advances in MXenes as AZIB cathodes from the perspectives of crystal structure,Zn-storage mechanism,surface modification,interlayer engineering,and conductive network design to elucidate the correlations among their composition,structure,and electrochemical performance.This work also outlines the remaining challenges faced by MXenes for aqueous Zn-ion storage,such as the urgent need for improved toxic preparation methods,exploration of potential novel MXene cathodes,and suppression of layered MXene restacking upon cycling,and introduces the prospects of MXene-based cathode materials for high-performance AZIBs.

关键词： aqueous zinc-ion batteries MXenes terminal groups interlayer engineering conductive network design

Geometric prior guided hybrid deep neural network for facial beauty analysis

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CAAI Transactions on Intelligence Technology 2024年第2期9卷 467-480页

作者： tianhao Peng Mu li Fangmei Chen Yong Xu David Zhang The School of Computer Science and Technology Guizhou UniversityGuiyangChina Department of Automation Moutai InstituteRenhuaiGuizhouChina The School of Computer Science and Technology Harbin Institute of TechnologyShenzhenShenzhenChina The Information and Communication Engineering Department Dalian Minzu UniversityDalianChina The School of Data Science The Chinese University of Hong KongShenzhenShenzhenChina

Facial beauty analysis is an important topic in human society.It may be used as a guidance for face beautification applications such as cosmetic surgery.Deep neural networks(DNNs)have recently been adopted for facial beauty analysis and have achieved remarkable performance.However,most existing DNN-based models regard facial beauty analysis as a normal classification task.They ignore important prior knowledge in traditional machine learning models which illustrate the significant contribution of the geometric features in facial beauty analysis.To be specific,landmarks of the whole face and facial organs are introduced to extract geometric features to make the decision.Inspired by this,we introduce a novel dual-branch network for facial beauty analysis:one branch takes the Swin Transformer as the backbone to model the full face and global patterns,and another branch focuses on the masked facial organs with the residual network to model the local patterns of certain facial parts.Additionally,the designed multi-scale feature fusion module can further facilitate our network to learn complementary semantic information between the two branches.In model optimisation,we propose a hybrid loss function,where especially geometric regulation is introduced by regressing the facial landmarks and it can force the extracted features to convey facial geometric features.Experiments performed on the SCUT-FBP5500 dataset and the SCUT-FBP dataset demonstrate that our model outperforms the state-of-the-art convolutional neural networks models,which proves the effectiveness of the proposed geometric regularisation and dual-branch structure with the hybrid network.To the best of our knowledge,this is the first study to introduce a Vision Transformer into the facial beauty analysis task.

关键词： deep neural networks face analysis face biometrics image analysis

Enhanced fluorescence sensing of tetracycline with Ti_(2)C quantum dots

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Nano Research 2024年第4期17卷 3180-3188页

作者： Dejia Hu ShangZuo Jiang tianhao Xia Danyang Xiao Yan li Yanbing Hou Jin Zhong Zhang Ying-Chih Pu School of Materials Science and Engineering University of Science and Technology BeijingBeijing 100083China Key Lab Luminescence&Optical Information Ministry EducationBeijing JiaoTong UniversityBeijing 100044China Department of Chemistry and Biochemistry University of CaliforniaSanta CruzCalifornia 95064USA Department of Materials Science "National University of Tainan"Tainan 700301TaiwanChina

Ti_(2)C quantum dots(QDs)with rich surface functional groups have been synthesized using a hydrothermal method,and used to detect tetracycline(Tc)based on enhanced fluorescence.The interaction between the surface functional groups of Ti_(2)C QDs and Tc enhanced the fluorescence of Tc at 514 nm,which is used to detect Tc quickly and accurately.Under optimal conditions,the fluorescence intensity was linear to the concentration of Tc in the range of 50.0–30.0μM,with a detection limit of 21.6 nM.Furthermore,the Tc-Ti_(2)C QDs detection system was evaluated for detection of Tc in milk and artificial urine.This study demonstrates a new and simple strategy for Tc detection,which is important for food safety and human health.

关键词： Ti_(2)C MXene quantum dots tetracycline fluorescence enhancement detection

Delivering quantum dots to lubricants: Current status and prospect

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Friction 2022年第11期10卷 1751-1771页

作者： Wenling ZHANG tianhao li Rong AN Jiong WANG Yu TIAN School of Mechanical Engineering Nanjing University of Science and TechnologyNanjing 210094China Herbert Gleiter Institute of Nanoscience School of Material Science and EngineeringNanjing University of Science and TechnologyNanjing 210094China State Key Laboratory of Tribology Tsinghua UniversityBeijing 100084China

Very recently,two-dimensional quantum dots(2D QDs)have been pioneeringly investigated as lubricant additives,which exhibit superior friction-reducing and wear resistance.Compared with 2D nanoparticles,2D QDs possess small size(~10 nm)and abundant active groups.These distinguished advantages enable them to quickly disperse into common lube mediums and maintain long-term storage stability.The good dispersion stability of 2D QDs not only effectively improves their embedding capacity,but also enables continuous supplements of lubricants during the sliding process.Therefore,2D QDs are attracting increasing research interest as efficient lubricants with desirable service life.In this review,we focus on the latest studies of 2D QDs as liquid lubricant additives(both in polar and nonpolar mediums),self-lubricating solid coatings and gels,etc.Various advanced strategies for synthesis and modification of 2D QDs are summarized.A comprehensive insight into the tribological behavior of a variety of 2D QDs together with the associated mechanism is reviewed in detail.The superior lubricating performances of 2D QDs are attributed to various mechanisms,including rolling effect,self-mending performance,polishing effect,tribofilm formation,nanostructure transfer and synergistic effects,etc.Strategies for friction modulation of 2D QDs,including internal factors(surface modification,elemental doping)and extrinsic factors(counter surfaces,test conditions)are discussed,special attentions for achieving intelligent tribology toward superlubricity and bio-engineering,are also included.Finally,the future challenges and research directions regarding QDs as lubricants conforming to the concept of“green tribology”toward a sustainable society are discussed.

关键词： quantum dots(QDs) design diversity dispersibility embedding stability lubrication

Ultrafast laser state active controlling based on anisotropic quasi-1D material

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light(Science & Applications) 2024年第4期13卷 717-726页

作者： Zixin Yang Qiang Yu Jian Wu Haiqin Deng Yan Zhang Wenchao Wang tianhao Xian Luyi Huang Junrong Zhang Shuai Yuan Jinyong Leng li Zhan Zongfu Jiang Junyong Wang Kai Zhang Pu Zhou College of Advanced Interdisciplinary Studies National University of Defense TechnologyChangsha 410073China. Nanhu Laser Laboratory National University of Defense TechnologyChangsha 410073China. i-Lab&Key Laboratory of Nanodevices and Applications&Key Laboratory of Nanophotonic Materials and Devices Suzhou Institute of Nano-Tech and Nano-BionicsChinese Academy of SciencesSuzhou 215123China. School of Applied and Engineering Physics Cornell UniversityIthacaNY 14853USA. State Key Laboratory of Advanced Optical Communication Systems and Networks School of Physics and AstronomyShanghai Jiao Tong UniversityShanghai 200240China. Shanghai Key Lab of Modern Optical System University of Shanghai for Science and TechnologyShanghai 200093China

Laser state active controlling is challenging under the influence of inherent loss and other nonlinear effects in ultrafast systems.Seeking an extension of degree of freedom in optical devices based on low-dimensional materials may be a way forward.Herein,the anisotropic quasi-one-dimensional layered material Ta2PdS6 was utilized as a saturable absorber to modulate the nonlinear parameters effectively in an ultrafast system by polarization-dependent absorption.The polarization-sensitive nonlinear optical response facilitates the Ta2PdS6-based mode-lock laser to sustain two types of laser states,i.e.,conventional soliton and noise-like pulse.The laser state was switchable in the single fiber laser with a mechanism revealed by numerical simulation.Digital coding was further demonstrated in this platform by employing the laser as a codable light source.This work proposed an approach for ultrafast laser state active controlling with low-dimensional material,which offers a new avenue for constructing tunable on-fiber devices.

关键词： polarization fiber controlling

Porous framework materials for energy&environment relevant applications:A systematic review

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Green Energy & Environment 2024年第2期9卷 217-310页

作者： Yutao liu liyu Chen lifeng Yang tianhao Lan Hui Wang Chenghong Hu Xue Han Qixing liu Jianfa Chen Zeming Feng Xili Cui Qianrong Fang Hailong Wang libo li Yingwei li Huabin Xing Sihai Yang Dan Zhao Jinping li College of Chemical Engineering and Technology Shanxi Key Laboratory of Gas Energy Efficient and Clean UtilizationTaiyuan University of TechnologyTaiyuan030024China School of Chemistry and Chemical Engineering South China University of TechnologyGuangzhou510640China Key Laboratory of Biomass Chemical Engineering of Ministry of Education College of Chemical and Biological EngineeringZhejiang UniversityHangzhou310027China Department of Chemistry The University of ManchesterManchesterM139PLUK Department of Chemical and Biomolecular Engineering National University of SingaporeSingapore 117585Singapore ZJU-Hangzhou Global Scientific and Technological Innovation Center Hangzhou311215China State Key Laboratory of Inorganic Synthesis and Preparative Chemistry Jilin UniversityChangchun130012China Beijing Key Laboratory for Science and Application of Functional Molecular and Crystalline Materials Department of ChemistryUniversity of Science and Technology BeijingBeijing100083China

Carbon peaking and carbon neutralization trigger a technical revolution in energy&environment related fields.Development of new technologies for green energy production and storage,industrial energy saving and efficiency reinforcement,carbon capture,and pollutant gas treatment is in highly imperious demand.The emerging porous framework materials such as metal–organic frameworks(MOFs),covalent organic frameworks(COFs)and hydrogen-bonded organic frameworks(HOFs),owing to the permanent porosity,tremendous specific surface area,designable structure and customizable functionality,have shown great potential in major energy-consuming industrial processes,including sustainable energy gas catalytic conversion,energy-efficient industrial gas separation and storage.Herein,this manuscript presents a systematic review of porous framework materials for global and comprehensive energy&environment related applications,from a macroscopic and application perspective.

关键词： Porous framework materials Catalysis Separation Gas storage Carbon neutrality

Tailoring circular dichroism via the Born-Kuhn model for meta-holograms

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Science China(Physics,Mechanics & Astronomy) 2022年第10期65卷 83-92页

作者： He Wang Hongqiang Zhou tianhao li Zhe Qin Chenchen li Xin li Yongfeng li Jieqiu Zhang Shaobo Qu lingling Huang Department of Basic Sciences Air Force Engineering UniversityXi’an 710051China Beijing Engineering Research Center of Mixed Reality and Advanced Display School of Optics and PhotonicsBeijing Institute of TechnologyBeijing 100081China Department of Physics and Optoelectronics Faculty of ScienceBeijing University of TechnologyBeijing 100124China

Chirality, as one of the ubiquitous properties in nature, has aroused striking attention in the fields of physics and materials sciences. For tailoring of light with more degree of freedom, circular dichroism has been considered as the auxiliary dimension to improving such an issue. Inspired by the Born-Kuhn plasmonic oscillation model, we demonstrate and discuss a chiral resonator to reveal reverse circular dichroism within two separate frequency bands in the microwave regime. The underlying physical mechanisms of bonding and anti-bounding modes are analyzed via transmission/reflection spectra and surface current distributions for different chiral enantiomers. To leverage the proposed paradigm to the application levels, especially for metaholography, we conduct the numerical simulation and experimental demonstration of two proofs of principles. Based on the Pancharatnam-Berry phase/amplitude modulation and complex-amplitude manipulation, respectively, the meta-holograms with independent targets of reconstructing images in full-space and reflected regions are achieved. Significantly, our paradigm may promise further applications in spin-controlled meta-devices for image processing, information encryption, anti-counterfeiting,remote sensing, and radar systems.

关键词： circular dichroism Born-Kuhn model meta-hologram electromagnetic manipulation

Effect of silane coupling agents on flowability and compressibility of compound for bonded NdFeB magnet

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Journal of Rare Earths 2022年第5期40卷 772-777,I0004页

作者： Xiaowei Zhang Zilong Wang tianhao li Shengjie Zhu Dunbo Yu Wenlong Yan Yang Luo National Engineering Research Center for Rare Earth Materials GRINM Group Co.Ltd.Beijing 100088China GRIREM Advanced Materials Co. Ltd.Beijing 100088China General Research Institute for Nonferrous Metals Beijing 100088China

Based on the difference of the Y-terminal functional group of the silane coupling agent(Y-Si(X)_(3)),four different silane coupling agents were employed to pretreat the surface of the NdFeB powders.The effects of silane coupling agents on the flowability and compressibility of compounds for preparing bonded NdFeB magnets were studied.It is indicated that compounds pretreated by silane coupling agents have weaker friction and meshing force.The apparent density is increased by 0.3 g/cm^(3 )compared with the compound without silane coupling agent,and the radial crushing strength is significantly increased by about 3-4 times.In addition,the epoxy resin is more evenly distributed on the surface of the compounds treated by silane coupling agents observed by scanning electron microscopy,and some agglomerated particles are produced.Also,the compressibility of compounds with silane coupling agents is significantly improved due to the fact that hardening exponents are reduced.However,the addition of silane coupling agents has almost no effect on the magnetic properties of bonded magnets.The special energy was used to manifest the flowability of magnetic powder particles representing the macroscopic performance of the force between powder particles,providing a new direction for the study of the interface compatibility of two-phase or multiphase composite materials.

关键词： Bonded NdFeB magnets Silane coupling agent Flowability Special energy Compressibility Rare earths