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Two-Dimensional Graphitic Carbon-Nitride(g-C_(3)N_(4))-Coated LiNi_(0.8)Co_(0.1.Mn_(0.1.O_(2)Cathodes for High-Energy-Density and Long-Life Lithium Batteries

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Energy & Environmental Materials 2024年第6期7卷 140-149页

作者： Zhenliang Duan Pengbo Zhai Ning Zhao Xiangxin Guo college of {1. Qingdao UniversityQingdao 266071China college of Materials Science and {1. Qingdao UniversityQingdao 266071China Tianmushan Laboratory Xixi Octagon CityHangzhou 310023China

High-capacity nickel-rich layered oxides are promising cathode materials for high-energy-density lithium ***,the poor structural stability and severe side reactions at the electrode/electrolyte interface result in unsatisfactory cycle ***,the thin layer of two-dimensional(2D)graphitic carbon-nitride(g-C_(3)N_(4))is uniformly coated on the LiNi_(0.8)Co_(0.1.Mn_(0.1.O_(2)(denoted as NCM81.@CN)using a facile chemical vaporization-assisted synthesis *** an ideal protective layer,the g-C_(3)N_(4)layer effectively avoids direct contact between the NCM81. cathode and the electrolyte,preventing harmful side reactions and inhibiting secondary crystal ***,the unique nanopore structure and abundant nitrogen vacancy edges in g-C_(3)N_(4)facilitate the adsorption and diffusion of lithium ions,which enhances the lithium deintercalation/intercalation kinetics of the NCM81. *** a result,the NCM81.@CN-3wt%cathode exhibits 1.1.3 mAh g^(−1.and capacity retention of 84.6%at 0.5 C and 55°C after 400 cycles and 95.7 mAh g^(−1.at 1. C,which is greatly superior to the uncoated NCM81.(i.e.1.9.3 mAh g^(−1.and capacity retention of 67.4%at 0.5 C and 55°C after 220 cycles and 28.8 mAh g^(−1.at 1. C).The improved cycle performance of the NCM81.@CN-3wt%cathode is also applicable to solid–liquid-hybrid cells composed of PVDF:LLZTO electrolyte membranes,which show 1.3.8 mAh g^(−1.and the capacity retention of 88.1.at 0.1.C and 30°C after 200 cycles and 95.3 mAh g^(−1.at 1.C.

关键词： cathode materials g-C_(3)N_(4)coating LiNi_(0.8)Co_(0.1.Mn_(0.1.O_(2) lithium batteries PVDF:LLZTO electrolyte membranes

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Acousto-optic modulator-based bi-frequency interferometer for quantum technology

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Chinese Optics Letters 2024年第2期22卷 186-191页

作者：李文奇邓琦琦郭学石李小英 college of Precision Instrument and Opto-Electronics {1. Key Laboratory of Opto-Electronics Information TechnologyMinistry of EducationTianjin UniversityTianjin 300072China

We demonstrate a high-performance acousto-optic modulator-based bi-frequency interferometer,which can realize either beating or beating free interference for a single-photon level quantum *** and optical efficiency of the interferometer are(99.5±0.2)%and(95±1.%,*** phase of the interferometer is actively stabilized by using a dithering phase-locking scheme,where the phase dithering is realized by directly driving the acousto-optic modulators with a specially designed electronic *** further demonstrate applications of the interferometer in quantum technology,including bi-frequency coherent combination,frequency tuning,and optical *** results show the interferometer is a versatile device for multiple quantum technologies.

关键词： bi-frequency interferometer acousto-optic modulator quantum optics quantum manipulation

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Visualization of oxygen vacancies in nanomaterials

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Science China Materials 2024年第11期67卷 3753-3754页

作者： Wenchao Bi Kaixuan Wang Guozhong Cao Department of physics College of ScienceUniversity of Shanghai for Science and Technology Departments of Materials Science and engineering and Chemical engineering University of Washington

Oxygen vacancies are one of the most common *** are imperfections in the regular geometrical arrangement of the atoms in crystalline solid. There are point defects,linear defects, plane defects and volume defects in crystals. In an elemental crystal, point defects are formed when atoms are removed from the position that should be filled in the crystal,creating vacancies, or when atoms occupy interstitial sites where no atom would ordinarily appear, causing interstitialcy [1..

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Exploring Motor Imagery EEG: Enhanced EEG Microstate Analysis with GMD-Driven Density Canopy Method

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Computers, Materials & Continua 2024年第6期79卷 4659-4681页

作者： Xin Xiong Jing Zhang Sanli Yi Chunwu Wang Ruixiang Liu Jianfeng He Faculty of information {1. and Automation Kunming University of Science and TechnologyKunming650500China college of {1. and Electronic engineering Hanshan Normal UniversityChaozhou521041China Department of Clinical Psychology Second People’s Hospital of YunnanKunming650021China

The analysis of microstates in EEG signals is a crucial technique for understanding the spatiotemporal dynamics of brain electrical *** methods such as Atomic Agglomerative Hierarchical Clustering(AAHC),K-means clustering,Principal Component Analysis(PCA),and Independent Component Analysis(ICA)are limited by a fixed number of microstate maps and insufficient capability in cross-task feature *** these limitations,this study introduces a Global Map Dissimilarity(GMD)-driven density canopy K-means clustering *** innovative approach autonomously determines the optimal number of EEG microstate topographies and employs Gaussian kernel density estimation alongside the GMD index for dynamic modeling of EEG *** this advanced algorithm,the study analyzes the Motor Imagery(MI)dataset from the GigaScience database,*** findings reveal six distinct microstates during actual right-hand movement and five microstates across other task conditions,with microstate C showing superior performance in all task *** imagined movement,microstate A was significantly *** with existing algorithms indicates a significant improvement in clustering performance by the refined method,with an average Calinski-Harabasz Index(CHI)of 3551..29 and a Davis-Bouldin Index(DBI)average of ***,an information-theoretical analysis of the microstate sequences suggests that imagined movement exhibits higher complexity and disorder than actual *** utilizing the extracted microstate sequence parameters as features,the improved algorithm achieved a classification accuracy of 98.41.in EEG signal categorization for motor imagery.A performance of 78.1.3%accuracy was achieved in a four-class motor imagery task on the BCI-IV-2a *** results demonstrate the potential of the advanced algorithm in microstate analysis,offering a more effective tool for a deeper understanding of the spatiotemporal features of EE

关键词： EEG microstate motor imagery K-means clustering algorithm gaus sian kernel function shannon entropy Lempel-Ziv complexity

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基于金属织物和自然摩擦带电的电子皮肤对人体运动的智能识别

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Science China Materials 2024年第3期67卷 887-897页

作者：徐锦杰陈婉翟刘樑杰江姗姗王浩楠张家翔甘昕艳周雄图郭太良吴朝兴张永爱 college of {1. and information engineering Fuzhou UniversityFuzhou 350108China Fujian Science&Technology Innovation Laboratory for Optoelectronic information of China Fuzhou 350108China

目前已开发出各种基于电子或光学信号的技术来感知身体运动,这在医疗保健、康复和人机交互等领域至关重要.然而,这些信号都是从身体外部获取的.本研究中,我们制备了一种电子皮肤(e-skin)人体运动传感器,它利用有机聚合物和金属织物的组... 详细信息

目前已开发出各种基于电子或光学信号的技术来感知身体运动,这在医疗保健、康复和人机交互等领域至关重要.然而,这些信号都是从身体外部获取的.本研究中,我们制备了一种电子皮肤(e-skin)人体运动传感器,它利用有机聚合物和金属织物的组合,通过人体的自然电荷感应(EI)来检测运动.该电子皮肤可获得高达450 V的人体电势信号.此外,该信号可通过最先进的深度学习技术自动提取和训练.该传感器能准确识别睡眠活动,准确率约为96.55%.这种可穿戴运动传感器可以与物联网技术无缝集成,实现多功能应用,展示了其在人类活动识别和人工智能方面的潜在用途.

关键词： human activity recognition e-skin sleep motion recognition contact-separation electrification 1.-CNN

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Edge-Enabled Metaverse:The Convergence of Metaverseand Mobile Edge Computing

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Tsinghua Science and Technology 2024年第3期29卷 795-805页

作者： Nyothiri Aung Sahraoui Dhelim Liming Chen Huansheng Ning Luigi Atzori Tahar Kechadi information {1. college Xinjiang Institute of EngineeringUrumqi 830023Chinaand also with School of Computer ScienceUniversity College DublinDublinD04 V1W8Ireland School of Computing Ulster UniversityBelfastBT151EDUK School of Computer and Communication engineering University of Science and Technology BeijingBeijing 100083China Department of Electrical and Electronic engineering University of CagliariSardinia 09124Italy School of Computer Science University College DublinDublinD04 V1W8Ireland

Metaverse is a virtual environment where users are represented by their avatars to navigate a virtual world having strong links with its physical *** state-of-the-art Metaverse architectures rely on a cloud-based approach for avatar physics emulation and graphics rendering *** current centralized architecture of such systems is unfavorable as it suffers from several drawbacks caused by the long latency of cloud access,such as low-quality *** this end,we propose a Fog-Edge hybrid computing architecture for Metaverse applications that leverage an edge-enabled distributed computing *** applications leverage edge devices’computing power to perform the required computations for heavy tasks,such as collision detection in the virtual universe and high-computational 3D physics in virtual *** computational costs of a Metaverse entity,such as collision detection or physics emulation,are performed at the device of the associated physical *** validate the effectiveness of the proposed architecture,we simulate a distributed social Metaverse *** simulation results show that the proposed architecture can reduce the latency by 50%when compared with cloud-based Metaverse applications.

关键词： industrial Metaverse edge computing Blockchain virtual environment task offloading fog computing

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Self-powered wireless environmental monitoring system for in-service bridges by galloping piezoelectric-triboelectric hybridized energy harvester

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Science China(Technological Sciences) 2024年第5期67卷 1498-1509页

作者： HUANG KangXu WANG XiaoFei WANG Li ZHOU YuHui LIU FuHai CHANG ShiYuan ZHU JunTao ZHOU YuXuan ZHANG He LUO JiKui college of Civil {1. and Architecture Zhejiang UniversityHangzhou310058China Anhui Transport Consulting&Design Institute Co. Ltd.Hefei230088China college of Electronics&{1. Hangzhou Dianzi UniversityHangzhou310018China Center for Balance Architecture Zhejiang UniversityHangzhou310058China college of {1. Science&Electronic engineering Zhejiang UniversityHangzhou310027China

The energy harvesting technology for the ubiquitous natural wind enables a desirable solution to the issue of distributed sensors in the bridge environmental sensing Internet of Things(Io T)system being restricted to conventional energy *** this work,a self-powered system based on a compact galloping piezoelectric-triboelectric energy harvester(GPTEH)is developed to achieve efficient wind energy *** GPTEH is constructed on the prototype of a cantilever structure with piezoelectric macro-fiber composite(MFC)sheets and a rectangular bluff body with triboelectric nanogenerators(TENGs).Through a special swing-type structural design with iron blocks inside the bluff body,the GPTEH exhibits preferable aerodynamic behavior and excellent energy conversion efficiency,compared to conventional cantilever kind of piezoelectric wind energy harvester(PWEH).The GPTEH also demonstrates the capability of high output power density(PEH of 23.65 W m^(-2)and TENG of 1.59 W m^(-2)),superior response wind speed(about 0.5 m s^(-1.),and excellent long-term stability(over 1.000 cyclic tests).Furthermore,a power management system is developed to efficiently utilize the output energy from GPTEH to power the sensors and wirelessly transmit environmental data to the *** proposed GPTEH-powered system exhibits a great potential for the bridge environmental monitoring and Io T technologies.

关键词： self-powered hybrid nanogenerator triboelectric nanogenerator macro-fiber composite wireless environmental monitoring system

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A Model for Detecting Fake News by Integrating Domain-Specific Emotional and Semantic Features

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Computers, Materials & Continua 2024年第8期80卷 2161-2179页

作者： Wen Jiang Mingshu Zhang Xu’an Wang Wei Bin Xiong Zhang Kelan Ren Facheng Yan college of Cryptography {1. Engineering University of People’s Armed PoliceXi’an710086China Key Laboratory of Network and information Security Engineering University of People’s Armed PoliceXi’an710086China Key Laboratory of CTC&information {1. Engineering University of People’s Armed PoliceMinistry of EducationXi’an710086China

With the rapid spread of Internet information and the spread of fake news,the detection of fake news becomes more and more *** detection methods often rely on a single emotional or semantic feature to identify fake news,but these methods have limitations when dealing with news in specific *** order to solve the problem of weak feature correlation between data from different domains,a model for detecting fake news by integrating domain-specific emotional and semantic features is *** method makes full use of the attention mechanism,grasps the correlation between different features,and effectively improves the effect of feature *** algorithm first extracts the semantic features of news text through the Bi-LSTM(Bidirectional Long Short-Term Memory)layer to capture the contextual relevance of news ***-BiLSTM is then used to extract emotional features and predict the probability of positive and negative emotions in the *** then uses domain features as an enhancement feature and attention mechanism to fully capture more fine-grained emotional features associated with that ***,the fusion features are taken as the input of the fake news detection classifier,combined with the multi-task representation of information,and the MLP and Softmax functions are used for *** experimental results show that on the Chinese dataset Weibo21.the F1.value of this model is 0.958,4.9% higher than that of the sub-optimal model;on the English dataset FakeNewsNet,the F1.value of the detection result of this model is 0.845,1.8% higher than that of the sub-optimal model,which is advanced and feasible.

关键词： Fake news detection domain-related emotional features semantic features feature fusion

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High photoelectric conversion efficiency and fast relaxation time of FA_(0.4)MA_(0.6)PbI_(3) applied in ultrafast modulation of terahertz waves

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Journal of Energy Chemistry 2024年第4期91卷 299-305页

作者： Zhibo Xu Ying Zeng Xinran Zhao Xiaoyin Chen Aoyu Fan Furi Ling Jiang Li Jianquan Yao School of Optics and Electronic information Huazhong University of Science and TechnologyWuhan 430074HubeiChina college of Precision Instrument and Optoelectronics {1. Tianjin UniversityTianjin 300072China Institute of Fluid physics China Academy of Engineering PhysicsMianyang 621900SichuanChina School of information {1. Wuhan University of TechnologyWuhan 430070HubeiChina National engineering Research Center of Fiber Optic Sensing Technology and Networks Wuhan University of TechnologyWuhan 430070HubeiChina Hubei Key Laboratory of Broadband Wireless Communication and Sensor Networks Wuhan 430070HubeiChina

Active control of terahertz(THz)waves is attracting tremendous attentions in terahertz communications and active photonic ***,due to its excellent photoelectric conversion performance and simple manufacturing process,has emerged as a promising candidate for optoelectronic ***,the exploration of perovskites in optically controlled THz modulators is still *** this work,the photoelectric properties and carrier dynamics of FA_(0.4)MA_(0.6)PbI_(3)perovskite films were investigated by optical pumped terahertz probe(OPTP)*** ultrafast carrier dynamics reveal that FA_(0.4)MA_(0.6)PbI_(3)thin film exhibits rapid switching and relaxation time within picosecond level,suggesting that FA_(0.4)MA_(0.6)PbI_(3)is an ideal candidate for active THz devices with ultrafast ***,as a proof of concept,a FA_(0.4)MA_(0.6)PbI_(3)-based metadevice with integrating plasma-induced transparency(PIT)effect was fabricated to achieve ultrafast modulation of THz *** experimental results demonstrated that the switching time of FA_(0.4)MA_(0.6)PbI_(3)-based THz modulator is near to 3.5 ps,and the threshold of optical pump is as low as 1..7μJ cm^(-2).The simulation results attribute the mechanism of ultrafast THz modulation to photo-induced free carriers in the FA_(0.4)MA_(0.6)PbI_(3)layer,which progressively shorten the capacitive gap of PIT *** study not only illuminates the potential of FA_(0.4)MA_(0.6)PbI_(3)in THz modulation,but also contributes to the field of ultrafast photonic devices.

关键词： Terahertz modulation Perovskites Metamaterials Plasmon-induced transparency

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The Combined Effect of Spin-Transfer Torque and Voltage-Controlled Strain Gradient on Magnetic Domain-Wall Dynamics:Toward Tunable Spintronic Neuron

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Chinese physics Letters 2024年第5期41卷 120-137页

作者：郁国良何鑫岩施胜宾邱阳朱明敏王嘉维李燕李元勋王杰周浩淼 college of {1. engineering China Jiliang UniversityHangzhou 310018China The Key Laboratory of Electromagnetic Wave information Technology and Metrology of Zhejiang Province Hangzhou 310018China Department of engineering Mechanics Zhejiang UniversityHangzhou 310027China School of Electronic Science and engineering University of Electronic Science and Technology of ChinaChengdu 611731China

Magnetic domain wall(DW), as one of the promising information carriers in spintronic devices, have been widely investigated owing to its nonlinear dynamics and tunable properties. Here, we theoretically and numerically demonstrate the DW dynamics driven by the synergistic interaction between current-induced spin-transfer torque(STT) and voltage-controlled strain gradient(VCSG) in multiferroic heterostructures. Through electromechanical and micromagnetic simulations, we show that a desirable strain gradient can be created and it further modulates the equilibrium position and velocity of the current-driven DW motion. Meanwhile, an analytical Thiele's model is developed to describe the steady motion of DW and the analytical results are quite consistent with the simulation data. Finally, we find that this combination effect can be leveraged to design DW-based biological neurons where the synergistic interaction between STT and VCSG-driven DW motion as integrating and leaking motivates mimicking leaky-integrate-and-fire(LIF) and self-reset function. Importantly, the firing response of the LIF neuron can be efficiently modulated, facilitating the exploration of tunable activation function generators, which can further help improve the computational capability of the neuromorphic system.

关键词： tunable synergistic integrating

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