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Nano-Micro Letters 2024年第3期16卷 351-366页

作者： Ya’nan Yang Jiaqi Wang zhe Wang Changxiang Shao Yuyang Han Ying Wang Xiaoting liu Xiaotong Sun Liru Wang Yuanyuan Li Qiang guo Wenpeng wu Nan Chen Liangti Qu Key Laboratory of Cluster science Ministry of Education of ChinaKey Laboratory of Photoelectronic/Electrophotonic Conversion MaterialsSchool of Chemistry and Chemical EngineeringBeijing Institute of TechnologyBeijing 100081People’s Republic of China Yangtze Delta Region Academy of Beijing Institute of Technology Jiaxing 314019People’s Republic of China Department of Chemistry Key Laboratory of Organic Optoelectronics&Molecular EngineeringMinistry of EducationTsinghua UniversityBeijing 100084People’s Republic of China

Moisture-enabled electricity(ME)is a method of converting the potential energy of water in the external environment into electrical energy through the interaction of functional materials with water molecules and can be directly applied to energy harvesting and signal ***,ME can be unreliable in numerous applications due to its sluggish response to moisture,thus sacrificing the value of fast energy harvesting and highly accurate information ***,by constructing a moisture-electric-moisture-sensitive(ME-MS)heterostructure,we develop an efficient ME generator with ultra-fast electric response to moisture achieved by triggering Grotthuss protons hopping in the sensitized ZnO,which modulates the heterostructure built-in interfacial potential,enables quick response(0.435 s),an unprecedented ultra-fast response rate of 972.4 mV s^(−1),and a durable electrical signal output for 8 h without any *** research provides an efficient way to generate electricity and important insight for a deeper understanding of the mechanisms of moisture-generated carrier migration in ME generator,which has a more comprehensive working scene and can serve as a typical model for human health monitoring and smart medical electronics design.

关键词： Moist-electric generators Grotthuss proton hopping Fast response Durable electrical output Personal health monitoring

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Investigating the dynamics and interactions of surface features on Pine Island Glacier using remote sensing and deep learning

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Advances in Climate Change Research 2024年第4期15卷 609-622页

作者： Qi ZHU Hua-Dong guo Lu ZHANG Dong LIANG zhe-Rong wu Zhuo-Ran LYU Xiao-Bing DU Key Laboratory of Digital Earth science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100094China International Research Center of Big Data for Sustainable Development Goals Beijing 100094China university of Chinese Academy of sciences Beijing 100049China school of Integrative Plant science Soil and Crop Sciences SectionCornell University Ithaca 14850USA

Pine Island Glacier(PIG),the largest glacier in the Amundsen Sea Embayment of West Antarctica,has contributed to over a quarter of the observed sea level rise around *** recent years,multiple observations have confirmed its continuous retreat,ice flow acceleration and profound surface *** these changes is crucial for accurately monitoring ice mass discharge and future Antarctic contributions to sea level ***,it is essential to investigate the complex interactions between these variables to comprehend how they collectively affect the overall stability of the intricate PIG *** this study,we utilized high-resolution remote sensing data and deep learning method to detect and analyze the spatio-temporal variations of surface melt,ice shelf calving,and ice flow velocity of the PIG from 2015 to *** explored the correlations among these factors to understand their long-term impacts on the glacier's *** findings reveal a retreat of 26.3 km and a mass loss of 1001.6 km²during ***,extensive surface melting was observed,particularly in the 2016/2017 and 2019/2020 melting *** data vividly illustrate prolonged and intense melting periods,correlating with a significant retreat in the glacier's terminus position in 2019/***,the comprehensive analysis of surface melting and the cumulative retreat of the ice shelf from 2017 to 2020 on the PIG shows atemporal relationship with subsequent significant changes in ice fow velocity,ranging from 10.9 to 12.2 m d^(-1),with an average acceleration rate of 12%.These empirical findings elucidate the intricate relationship among surface melt,ice flow velocity,and consequential glacier dynamics.A profound understanding of these interrelationships holds paramount importance in glacier dynamic changes and modeling,providing invaluable insights into potential glacier responses to global climate change.

关键词： Pine island glacier Calving front Surface melt Ice flow velocity Remote sensing

Boron-doped high-entropy oxide toward high-rate and long-cycle layered cathodes for wide-temperature sodium-ion batteries

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Journal of Energy Chemistry 2024年第8期95卷 577-587,I0012页

作者： Yuzhen Dang zhe Xu Yurong wu Runguo zheng Zhiyuan Wang Xiaopin Lin Yanguo liu zheng-Yao Li Kai Sun Dongfeng Chen Dan Wang school of Materials science and engineering Northeastern UniversityShenyang 110819LiaoningChina school of Resources and Materials Northeastern University at QinhuangdaoQinhuangdao 066004HebeiChina Key Laboratory of Dielectric and Electrolyte Functional Material Hebei Province Qinhuangdao 066004HebeiChina Neutron Scattering Laboratory Department of Nuclear PhysicsChina Institute of Atomic EnergyBeijing 102413China

03-type layered metal oxides hold great promise for sodium-ion batteries cathodes owing to their energy density ***,the severe irreversible phase transition and sluggish Na^(+)diffusion kinetics pose significant challenges to achieve high-performance layered ***,a boron-doped03-type high entropy oxide Na(Fe_(0.2)Co_(0.15)Cu_(0.05)Ni_(0.2)Mn_(0.2)Ti_(0.2))B_(0.02)O_(2)(NFCCNMT-B_(0.02))is designed and the covalent B-O bonds with high entropy configuration ensure a robust layered *** obtained cathode NFCCNMT-B_(0.02)exhibits impressive cycling performance(capacity retention of 95%and 82%after100 cycles and 300 cycles at 1 and 10 C,respectively)and outstanding rate capability(capacity of 83 mAh g^(-1)at 10 C).Furthermore,the NFCCNMT-B_(0.02)demonstrates a superior wide-temperature performance,maintaining the same capacity level(113,4 mAh g^(-1)@-20℃,121 mAh g^(-1)@25℃,and 119 mAh g^(-1)@60℃)and superior cycle stability(90%capacity retention after 100 cycles at 1 C at-20℃).The high-entropy configuration design with boron doping strategy contributes to the excellent sodium-ion storage *** high-entropy configuration design effectively suppresses irreversible phase transitions accompanied by small volume changes(ΔV=0.65 A3).B ions doping expands the Na layer distance and enlarges the P3 phase region,thereby enhancing Na^(+)diffusion *** work offers valuable insights into design of high-performance layered cathodes for sodium-ion batteries operating across a wide temperature.

关键词： High entropy oxide Born substitution Phase transition Na~+diffusion kinetics Sodium-ion batteries

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A memristive-photoconductive transduction methodology for accurately nondestructive memory readout

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Light(science & Applications) 2024年第9期13卷 1801-1808页

作者： zhe Zhou Yueyue wu Keyuan Pan Duoyi Zhu Zifan Li Shiqi Yan Qian Xin Qiye Wang Xinkai Qian Fei Xiu Wei Huang Juqing liu Key Laboratory of Flexible Electronics(KLOFE)&Institute of Advanced Materials(IAM) Nanjing Tech University(NanjingTech)30 South Puzhu RoadNanjing 211816China Shandong Technology Center of Nanodevices and Integration School of MicroelectronicsShandong UniversityJinan 250100China Shaanxi Institute of Flexible Electronics(SIFE) Northwestern Polytechnical University(NPU)127 West Youyi RoadXi’an 710072China

Crossbar resistive memory architectures enable high-capacity storage and neuromorphic computing,accurate retrieval of the stored information is a prerequisite during read ***,conventional electrical readout normally suffer from complicated process,inaccurate and destructive reading due to crosstalk effect from sneak path *** we report a memristive-photoconductive transduction(MPT)methodology for precise and nondestructive readout in a memristive crossbar *** individual devices present dynamic filament form/fuse for resistance modulation under electric stimulation,which leads to photogenerated carrier transport for tunable photoconductive response under subsequently light pulse *** coherent signal transduction can be used to directly detect the memorized on/off states stored in each cell,and a prototype 4*4 crossbar memories has been constructed and validated for the fidelity of crosstalk-free readout in recall process.

关键词： crosstalk precise enable

Sub-10-nm-sized Au@AuxIr1-x metal-core/alloy-shell nanoparticles as highly durable catalysts for acidic water splitting

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National science Review 2024年第4期11卷 130-140页

作者： Huimin Wang zhe-ning Chen Yuanyuan Wang Dongshuang wu Minna Cao Fanfei Sun Rong Cao State Key Laboratory of Structural Chemistry Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences university of Chinese Academy of sciences school of Materials science and engineering Nanyang Technological University Shanghai Synchrotron Radiation Facility Shanghai Institute of Applied Physics Chinese Academy of Sciences Fujian science & Technology Innovation Laboratory for Optoelectronic information of China

The absence of efficient and durable catalysts for oxygen evolution reaction（OER） is the main obstacle to hydrogen production through water splitting in an acidic ele ***,we report a controllable synthesis method of surface IrOxwith changing Au/Ir compositions by constructing a range of sub-10-nm-sized core-shell nanocatalysts composed of an Au core and AuxIr1-xalloy *** particular,Au@Au0.43Ir0.57exhibits 4.5 times higher intrinsic OER activity than that of the commercial Ir/*** X-ray-based spectroscopies,electron microscopy and density functional theory calculations revealed a balanced binding of reaction intermediates with enhanced *** water-splitting cell using a load of 0.02 mgIr/cm2of Au@Au0.43Ir0.57as both anode and cathode can reach 10 mA/cm2at 1.52 V and maintain activity for at least194 h,which is better than the cell using the commercial couple Ir/C‖Pt/C（1.63 V,0.2 h）.

关键词： controllable synthesis of surface IrOx oxygen evolution reaction acidic water splitting catalytic stability transition metal catalysts

Tunable quantum anomalous Hall effects in ferromagnetic van der Waals heterostructures

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National science Review 2024年第3期11卷 100-107页

作者： Feng Xue Yusheng Hou zhe Wang Zhiming Xu Ke He Ruqian wu Yong Xu Wenhui Duan Beijing Academy of Quantum information sciences State Key Laboratory of Low Dimensional Quantum Physics Department of Physics Tsinghua University Guangdong Provincial Key Laboratory of Magnetoelectric Physics and Devices Center for Neutron Science and Technology School of Physics Sun Yat-sen University State Key Laboratory of Surface Physics Key Laboratory of Computational Physical Sciences and Department of PhysicsFudan University Frontier science Center for Quantum information Department of Physics and Astronomy University of California-Irvine Tencent Quantum Laboratory Tencent Technology(Shenzhen)Co.Ltd RIKEN Center for Emergent Matter science(CEMS) Institute for Advanced Study Tsinghua University

The quantum anomalous Hall effect（QAHE） has unique advantages in topotronic applications, but it is still challenging to realize the QAHE with tunable magnetic and topological properties for building functional devices. Through systematic first-principles calculations, we predict that the in-plane magnetization induced QAHE with Chern numbers C = ±1 and the out-of-plane magnetization induced QAHE with high Chern numbers C = ±3 can be realized in a single material candidate, which is composed of van der Waals（vdW）coupled Bi and MnBi2Te4monolayers. The switching between different phases of QAHE can be controlled in multiple ways, such as applying strain or（weak） magnetic field or twisting the vdW materials. The prediction of an experimentally available material system hosting robust, highly tunable QAHE will stimulate great research interest in the field. Our work opens a new avenue for the realization of tunable QAHE and provides a practical material platform for the development of topological electronics.

关键词： quantum anomalous Hall effect topological quantum phase transition van der Waals heterostructures tunable Chern number high Chern number

Multi-UAV Collaborative Edge Computing Algorithm for Joint Task Offloading and Channel Resource Allocation

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Journal of Communications and information Networks 2024年第2期9卷 137-150页

作者： Yuting Wei Sheng wu zhe Ji Zhigang Yu Chunxiao Jiang Linling Kuang school of information and Communication engineering Beijing University of Posts and TelecommunicationsBeijing 100876China China Academy of Electronics and information Technology Beijing 100041China Beijing National Research Center for information science and Technology Tsinghua Space CenterTsinghua UniversityBeijing 100084China

Unmanned aerial vehicle (UAV)-based edge computing is an emerging technology that provides fast task processing for a wider area. To address the issues of limited computation resource of a single UAV and finite communication resource in multi-UAV networks, this paper joints consideration of task offloading and wireless channel allocation on a collaborative multi-UAV computing network, where a high altitude platform station (HAPS)is adopted as the relay device for communication between UAV clusters consisting of UAV cluster heads (ch-UAVs) and mission UAVs (m-UAVs). We propose an algorithm, jointing task offloading and wireless channel allocation to maximize the average service success rate (ASSR)of a period time. In particular,the simulated annealing(SA)algorithm with random perturbations is used for optimal channel allocation,aiming to reduce interference and minimize transmission delay.A multi-agent deep deterministic policy gradient (MADDPG) is proposed to get the best task offloading strategy. Simulation results demonstrate the effectiveness of the SA algorithm in channel allocation. Meanwhile,when jointly considering computation and channel resources,the proposed scheme effectively enhances the ASSR in comparison to other benchmark algorithms.

关键词： UAV-based edge computing multi-UAV collaboration joint task offloading and wireless channel allocation simulated annealing(SA)algorithm multi-agent deep deterministic policy gradient(MADDPG)

Fusion network for small target detection based on YOLO and attention mechanism

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Optoelectronics Letters 2024年第6期20卷 372-378页

作者： XU Caie DONG zhe ZHONG Shengyun CHEN Yijiang PAN Sishun wu Mingyang school of information and Electronic engineering Zhejiang University of Science and TechnologyHangzhou 310012China Research Development Department Hangzhou Xinhe Data Technology Co.Ltd.Hangzhou 311202China College of Mechanical engineering Zhejiang UniversityHangzhou 310013China

Target detection is an important task in computer vision research, and such an anomaly detection and the topic of small target detection task is more concerned. However, there are still some problems in this kind of researches, such as small target detection in complex environments is susceptible to background interference and poor detection results. To solve these issues, this study proposes a method which introduces the attention mechanism into the you only look once(YOLO) network. In addition, the amateur-produced mask dataset was created and experiments were conducted. The results showed that the detection effect of the proposed mothed is much better.

关键词： Fusion network for small target detection based on YOLO and attention mechanism

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Brain Cognition Mechanism-Inspired Hierarchical Navigation Method for Mobile Robots

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Journal of Bionic engineering 2024年第2期21卷 852-865页

作者： Qiang Zou Chengdong wu Ming Cong Dong liu Faculty of Robot science and engineering Northeastern UniversityShenyang110819China school of Mechanical engineering Dalian University of TechnologyDalian116024China

Autonomous navigation is a fundamental problem in *** methods generally build point cloud map or dense feature map in perceptual space;due to lack of cognition and memory formation mechanism,traditional methods exist poor robustness and low cognitive *** a new navigation technology that draws inspiration from mammal’s navigation,bionic navigation method can map perceptual information into cognitive space,and have strong autonomy and environment *** improve the robot’s autonomous navigation ability,this paper proposes a cognitive map-based hierarchical navigation ***,the mammals’navigation-related grid cells and head direction cells are modeled to provide the robots with location *** then a global path planning strategy based on cognitive map is proposed,which can anticipate one preferred global path to the target with high efficiency and short ***,a hierarchical motion controlling method is proposed,with which the target navigation can be divided into several sub-target navigation,and the mobile robot can reach to these sub-targets with high confidence ***,some experiments are implemented,the results show that the proposed path planning method can avoid passing through obstacles and obtain one preferred global path to the target with high efficiency,and the time cost does not increase extremely with the increase of experience nodes *** motion controlling results show that the mobile robot can arrive at the target successfully only depending on its self-motion information,which is an effective attempt and reflects strong bionic properties.

关键词： Bionic navigation Spatial localization cells Global path planning Hierarchical motion controlling