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Inhibiting Oxygen Vacancies via Mo Doping to Enhance the Cycle Stability of Ni-Rich Single-Crystal Cathodes

ACS Applied Energy Materials 2025年第11期8卷 7293-7299页

作者： Fan, Mingming Li, Shuang Chen, Zhuo Zhang, Yu Shi, Shuo Zhang, Rui Wang, Jing Lei, Kaixiang Zheng, Shijian Tianjin Key Laboratory of Materials Laminating Fabrication and Interface Control Technology School of Materials Science and Engineering Hebei University of Technology Tianjin300130 China Institute of New Energy Materials School of Materials Science and Engineering Tianjin University Tianjin300072 China

Ni-rich single-crystal cathode materials have garnered significant attention for their ability to minimize intergranular cracking, enhancing cycling stability compared with polycrystalline counterparts. However, they remain susceptible to structural degradation, such as interlayer mixing, irreversible phase transformation, and intragranular cracking, which compromise the capacity during extended cycling. This study presents a strategy to address these defects by incorporating Mo through a two-step sintering process. Mo doping effectively suppresses the formation of oxygen vacancies, which is critical to the intragranular cracking formation, thereby improving structural stability and mechanical integrity. As a result, the doped cathodes demonstrate superior electrochemical performance, reduced impedance growth, and an enhanced cycle life. These findings offer valuable insights into the role of high-valence dopants in stabilizing single-crystal cathodes and contribute to developing high-performance lithium-ion batteries for next-generation applications. © 2025 American Chemical Society.

关键词： Lithium-ion batteries

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Intelligent Internet of Things in Mammography Screening Using Multicenter Transformation Between Unified Capsules

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IEEE Internet of Things Journal 2023年第2期10卷 1536-1545页

作者： Wang, Boyan Hu, Xuegang Zhang, Jinglin Xu, Chenchu Gao, Zhifan Hefei University of Technology School of Computer Science and Information Engineering Hefei China Shandong University School of Control Science and Engineering Jinan250061 China Anhui University School of Computer Science and Technology Hefei230093 China Sun Yat-sen University School of Biomedical Engineering Guangzhou510275 China

Mammography screening is one of the important applications for the intelligent Internet of Things (IoT). Due to the efficient and personalized cyber-medicine system, early diagnosis can successfully reduce the breast cancer mortality rate by AI-driven healthcare. However, it is a huge challenge to extend the conventional single-center into the multicenter mammography screening, thus improving the effectiveness and robustness of intelligent IoT-based devices. To address this problem, we utilize multicenter mammograms by the modified capsule neural network and propose a novel framework called multicenter transformation between unified capsules (MLT-UniCaps) in this article. The proposed MLT-UniCaps is composed of Attentional Pose Embedding, Dynamic Source Capsule Traversal, and Adaptive Target Capsule Fusion to realize an intelligent remote assistant diagnosis. Attentional Pose Embedding extracts feature vectors via variations in position, orientation, scale, and lighting as the poses through an adversarial convolutional neural network with an attention-based layer. Based on the pose presentation, Dynamic Source Capsule Traversal deploys a dynamic routing mechanism between neurons to build a source cancer classifier for single-center mammography screening. Using the source cancer classifier, Adaptive Target Capsule Fusion integrates various centers of mammograms as the universal cancer detectors and optimizes heterogeneous distribution among them by the transformation-likelihood maximization. Owing to the three components, MLT-UniCaps effectively improves the results of single-center mammography screening and works in the multicenter breast cancer diagnosis. By comprehensive experiments on 58 965 samples, the proposed MLT-UniCaps obtains 90.1% of overall classification accuracy on single-center trials and 73.8% of overall F1 score on multicenter trials. All the experimental results illustrated that our MLT-UniCaps, an intelligent IoT-based clinical tool, inures the be

关键词： Mammography

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High strength and deformation stability achieved in CrCoNi alloy containing deformable oxides

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Journal of Materials science & Technology 2023年第3期134卷 89-94页

作者： Jiawei Zou Xiaoqian Fu Yajing Song Tianxin Li Yiping Lu Ze Zhang Qian Yu Center of Electron Microscopy and State Key Laboratory of Silicon Materials School of Materials Science and EngineeringZhejiang UniversityHangzhou 310027China Key Laboratory of Solidification Control and Digital Preparation Technology(Liaoning Province) School of Materials Science and EngineeringDalian University of TechnologyDalian 116024China

Hard secondary phases usually strengthen alloys at the expense of *** this work,we made a dual-phase CrCoNi-O alloy containing a face centered cubic matrix and chromium *** one side,the dispersed chromium oxide nano-particles impeded dislocation movement and increased the strength of the *** another side,the spreading lattice distortion in CrCoNi-O high entropy solution locally relieved the severe interfacial mismatch and led to nanoscale variation of interfacial strain at the matrix-oxide interface,which facilitated dislocations’transmission from one phase to ***,unlike the strong but brittle oxide nanoparticles used before,the oxide phase here can afford significant dislocation activities during material’s plastic *** the mechanical properties of CrCoNi-O alloys with and without chromium oxide particles,it was found that the yield strength of the dual-phase samples was twice of the single phase CrCoNi-O alloy and strong strain hardening was obtained with ultra-high deformation *** density of nanotwins formed in dual-phase samples under high stress,resulting in significant strain hardening according to the well-known twinning-induced plasticity(TWIP)*** results shed light on optimizing the combination of strength and plasticity of compounds by modulating the variation of interfacial strain field based on the spreading lattice distortion.

关键词： Secondary phase strengthening Deformability In-situ electron microscopy characterization Nanotwins Strain hardening

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Experimental investigation on the gravity driven discharge of cohesive particles from a silo with two outlets

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Particuology 2024年第6期89卷 11-21页

作者： Li Dai Zhulin Yuan Fengxian Fan Conghui Gu School of Energy and Power Engineering University of Shanghai for Science and TechnologyShanghai 200093China Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education School of Energy and EnvironmentSoutheast UniversityNanjing 210096China Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering University of Shanghai for Science and TechnologyShanghai 200093China School of Energy and Power Jiangsu University of Science and TechnologyZhenjiang 212100China

An experimental study on the gravity driven discharge of cohesive particles from a silo with two outlets was *** discharge behaviors under the conditions that a single outlet was open and two outlets were open were investigated by varying the moisture content of the particles and the filling height of the particles in the *** results show that the discharge rate of the cohesive particles increases gradually at the beginning,then almost keeps constant,and finally drops *** discharge rate in case of two openings is around 1.1–1.6 times that in case of a single *** filling height leads to lower discharge rate in case of a single opening but results in higher discharge rate in case of two ***,the avalanche dynamics in case of a single opening was examined,and the mixing behavior of the cohesive particles was *** is observed that the discharge flow is promoted by the avalanche phenomenon in the silo,generating a general trend that the normalized mass of discharge increases with the filling height at higher moisture *** case of a single opening,the transition from mass flow to funnel flow favors the particle mixing,resulting in an increasing mixing index as the moisture content *** general,a better performance of mixing can be achieved in case of a single opening compared with in case of two *** study provides vital information for fundamental understanding of the gravity driven discharge of cohesive particles from the silo with multiple outlets.

关键词： Cohesive particles Moisture content Discharge rate Avalanche Mixing

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Joint Task Offloading and Resource Allocation Strategy for Space-Air-Ground Integrated Vehicular Networks

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清华大学学报自然科学版（英文版） 2025年第3期30卷 1027-1043页

作者： Yuanshuo Gang Yuexia Zhang Zhihai Zhuo School of Information and Communication Engineering Beijing Information Science and Technology UniversityBeijing 100101China Key Laboratory of Modern Measurement and Control Technology Ministry of EducationBeijing Information Science and Technology UniversityBeijing 100101China

Space-Air-Ground integrated Vehicular Network(SAGVN)aims to achieve ubiquitous connectivity and provide abundant computational resources to enhance the performance and efficiency of the vehicular ***,there are still challenges to overcome,including the scheduling of multilayered computational resources and the scarcity of spectrum *** address these problems,we propose a joint Task Offloading(TO)and Resource Allocation(RA)strategy in SAGVN(namely JTRSS).This strategy establishes an SAGVN model that incorporates air and space networks to expand the options for vehicular TO,and enhances the edge-computing resources of the system by deploying edge *** minimize the system average cost,we use the JTRSS algorithm to decompose the original problem into a number of subproblems.A maximum rate matching algorithm is used to address the channel allocation and the Lagrangian multiplier method is employed for computational *** acquire the optimal TO decision,a differential fusion cuckoo search algorithm is *** simulation results demonstrate the significant superiority of the JTRSS algorithm in optimizing the system average cost.

关键词： edge computing Resource Allocation(RA) Space-Air-Ground integrated Vehicular Network(SAGVN) Task Offloading(TO)

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Investigation of erythrocyte aggregation parameters of blood with low levels of fibrinogen by syllectometry

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Journal of Biorheology 2023年第1期37卷 2-8页

作者： Higuchi, Makoto Tanaka, Masayoshi Watanabe, Nobuo Functional Control Systems Course Graduate School of Engineering and Science Shibaura Institute of Technology Saitama Japan Ogino Memorial Laboratory Nihon Kohden Corporation Tokyo Japan Systems Engineering and Science Graduate School of Engineering and Science Shibaura Institute of Technology Saitama Japan

An increase in fibrinogen, a coagulation factor in blood, enhances erythrocyte aggregation. However, no pre-vious studies have fully investigated erythrocyte aggregation at low plasma fibrinogen concentrations (1/2) increased with decreasing fibrinogen concentration (r = –0.827), similar to previously reported results for normal to high fibrinogen concentrations. Relax-ation time (t0) increased exponentially with decreasing fibrinogen concentration (r = –0.608). These results suggest that erythrocyte aggregability decreases with decreasing fibrinogen concentration even at low fibrinogen levels that can cause coagulopathy, and that syllectometry can be used to detect decreases in fibrinogen. © Japanese Society of Biorheology 2023.

关键词： Rheology

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Brain-inspired multimodal approach for effluent quality prediction using wastewater surface images and water quality data

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Frontiers of Environmental science & engineering 2024年第3期18卷 69-82页

作者： Junchen Li Sijie Lin Liang Zhang Yuheng Liu Yongzhen Peng Qing Hu School of Environment Harbin Institute of TechnologyHarbin 150090China School of Environmental Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Engineering Innovation Center of SUSTech(Beijing) Southern University of Science and TechnologyBeijing 100083China Faculty of Environment and Life Beijing University of TechnologyBeijing 100124China Engineering Research Center of Intelligence Perception and Autonomous Control Ministry of EducationBeijing 100124China

Efficiently predicting effluent quality through data-driven analysis presents a significant advancement for consistent wastewater treatment *** this study,we aimed to develop an integrated method for predicting effluent COD and NH3 *** employed a 200 L pilot-scale sequencing batch reactor(SBR)to gather multimodal data from urban sewage over 40 *** we collected data on critical parameters like COD,DO,pH,NH_(3),EC,ORP,SS,and water temperature,alongside wastewater surface images,resulting in a data set of approximately 40246 *** we proposed a brain-inspired image and temporal fusion model integrated with a CNN-LSTM network(BITF-CL)using this *** innovative model synergized sewage imagery with water quality data,enhancing prediction *** a result,the BITF-CL model reduced prediction error by over 23%compared to traditional methods and still performed comparably to conventional techniques even without using DO and SS sensor ***,this research presents a cost-effective and precise prediction system for sewage treatment,demonstrating the potential of brain-inspired models.

关键词： Wastewater treatment system Water quality prediction Data driven analysis Brain-inspired model Multimodal data Attention mechanism

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Intelligent Predetermination of Generator Tripping Scheme: Knowledge Fusion-based Deep Reinforcement Learning Framework

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CSEE Journal of Power and Energy Systems 2024年第1期10卷 66-75页

作者： Lingkang Zeng Wei Yao Ze Hu Hang Shuai Zhouping Li Jinyu Wen Shijie Cheng State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronics EngineeringHuazhong University of Science and TechnologyWuhan 430074China Dispatching and Control Center Central China Branch of State Grid Corporation of ChinaWuhan 430077China. Department of Electrical Engineering and Computer Science University of TennesseeKnoxvilleTN 37996USA

Generator tripping scheme(GTS)is the most commonly used scheme to prevent power systems from losing safety and ***,GTS is composed of offline predetermination and real-time scenario ***,it is extremely time-consuming and labor-intensive for manual predetermination for a large-scale modern power *** improve efficiency of predetermination,this paper proposes a framework of knowledge fusion-based deep reinforcement learning(KF-DRL)for intelligent predetermination of ***,the Markov Decision Process(MDP)for GTS problem is formulated based on transient instability ***,linear action space is developed to reduce dimensionality of action space for multiple controllable ***,KF-DRL leverages domain knowledge about GTS to mask invalid actions during the decision-making *** can enhance the efficiency and learning ***,the graph convolutional network(GCN)is introduced to the policy network for enhanced learning *** simulation results obtained on New England power system demonstrate superiority of the proposed KF-DRL framework for GTS over the purely data-driven DRL method.

关键词： Deep reinforcement learning generator tripping scheme graph convolutional network invalid action masking knowledgefusion

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Graphene reinforced nanoarchitectonics of 3D interconnected magnetic-dielectric frameworks for high-efficient and anti-corrosive microwave absorbers

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Journal of Materials science & Technology 2024年第1期168卷 194-207页

作者： Chenchen Liu Xiaofang Feng Shuning Liu Guo Lin Zhongxiang Bai Lingling Wang Ke Zhu Xiulan Li Xiaobo Liu School of Materials and Energy University of Electronic Science and Technology of ChinaChengdu611731China Sichuan Province Engineering Technology Research Center of Novel CN Polymeric Materials Chengdu611731China School of Chemical Engineering Northwest UniversityXi’an710069China Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology School of Environmental Science and EngineeringSun Yat-sen UniversityGuangzhou510275China

The combination of high efficiency and environmental stability is vital to promote the commercial appli-cations of microwave absorption(MA)materials,yet remains challenging in the absence of facile ***,we put forward a graphene-reinforced construct approach for one-pot synthesis of 3D intercon-nected magnetic-dielectric frameworks via pre-functionalization and subsequent *** in-teractions among discrete precursors are capable of manipulating the confined growth and interfacial *** enhancements in MA properties are triggered in a straightforward manner us-ing ultralow feeding fractions of graphene oxide *** minimum reflection loss is up to-60.1 dB(99.9999%wave absorption)and the effective absorption bandwidth reaches 5.9 GHz(almost covering the Ku band).Remarkably,based on the optimization by ultralow concentrations of graphene,the as-prepared nanoarchitecture simultaneously integrates strong absorption,broad bandwidth,and low matching *** embedded graphene nanosheets serve as high-speed electron transmission channels and hollow resonance cavities,facilitating multimode attenuations and impedance-matching ***-while,the graphene-reinforced framework suppresses the corrosion of magnetic components,whose cor-rosion rate reduces by an order of *** study provides a simple procedure to boost magnetic-dielectric absorbers for comprehensive MA performances and enhanced corrosion resistance.

关键词： 3D Magnetic-dielectric framework Graphene nanosheet Microwave absorption Anti-corrosion

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Highlights of mainstream solar cell efficiencies in 2023

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Frontiers in Energy 2024年第1期18卷 8-15页

作者： Wenzhong SHEN Yixin ZHAO Feng LIU Institute of Solar Energy and Key Laboratory of Artificial Structures and Quantum Control(Ministry of Education)School of Physics and AstronomyShanghai Jiao Tong UniversityShanghai 200240China School of Environmental Science and Engineering and Frontiers Science Center for Transformative MoleculesShanghai Jiao Tong UniversityShanghai 200240China School of Chemistry and Chemical Engineering and Frontiers Science Center for Transformative MoleculesShanghai Jiao Tong UniversityShanghai 200240China

This article continues our highlights last two years[1,2]on the highest independently confirmed mainstream(silicon,perovskite,and organic)solar cell efficiencies in *** world record power conversion efficiency(PCE)of the single-junction silicon and perovskite/silicon tandem solar cells has reached over 27%and close to 34%,respectively,in *** have also witnessed the rapid mass-production development of the silicon passivating contact and silicon back contact solar cells,as well as further progress with perovskite solar cells(PSCs).

关键词： perovskite mainstream fir

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