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Water molecules and oxygen-vacancy modulation of vanadium pentoxide with fast kinetics toward ultrahigh power density and durable flexible all-solid-state zinc ion battery

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Journal of Energy Chemistry 2023年第10期85卷 581-591,I0014页

作者： Wenda Qiu Yunlei Tian Shuting Lin Aihua Lei Zhangqi Geng Kaitao huang Jiancong Chen Fuchun Huang Huajie Feng Xihong Lu Guangdong Industry Polytechnic College Guangzhou 510300GuangdongChina MOE of the Key Laboratory of Bioinorganic and Synthetic Chemistry KLGHEI of Environment and Energy ChemistrySchool of ChemistrySun Yat-Sen UniversityGuangzhou 510275GuangdongChina Key Laboratory of Electrochemical Energy Storage and Energy Conversion of Hainan Province Hainan Normal UniversityHaikou 571158HainanChina

Aqueous zinc ion battery(ZIB)with many virtues such as high safety,cost-effective,and good environmental compatibility is a large-scale energy storage technology with great application potential.Nevertheless,its application is severely hindered by the slow diffusion of zinc ions in desirable cathode materials.Herein,a technique of water-incorporation coupled with oxygen-vacancy modulation is exploited to improve the zinc ions diffusion kinetics in vanadium pentoxide(V_(2)O_5)cathode for ZIB.The incorporated water molecules replace lattice oxygen in V_(2)O_5,and function as pillars to expand interlayer distance.So the structural stability can be enhanced,and the zinc ions diffusion kinetics might also be promoted during the repeated intercalation/deintercalation.Meanwhile,the lattice water molecules can effectively enhance conductivity due to the electronic density modulation effect.Consequently,the modulated V_(2)O_5(H-V_(2)O_5)cathode behaves with superior rate capacity and stable durability,achieving 234 mA h g^(-1)over 9000 cycles even at 20 A g^(-1).Furthermore,a flexible all-solid-state(ASS)ZIB has been constructed,exhibiting an admirable energy density of 196.6 Wh kg^(-1)and impressive power density of 20.4 kW kg^(-1)as well as excellent long-term lifespan.Importantly,the assembled flexible ASS ZIB would be able to work in a large temperature span(from-20 to 70℃).Additionally,we also uncover the energy storage mechanism of the H-V_(2)O_5 electrode,offering a novel approach for creating high-kinetics cathodes for multivalent ion storage.

关键词： Interlayer engineering Water intercalation Vanadium pentoxide Ion diffusion kinetics Zinc ion battery

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High rate and ultralong life flexible all-solid-state zinc ion battery based on electron density modulated NiCo_(2)O_(4) nanosheets

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Journal of Energy Chemistry 2022年第7期31卷 283-291,I0008页

作者： Wenda Qiu Yunlei Tian Zhenchao Lin Shuting Lin Zhangqi Geng Kaitao huang Aihua Lei Fuchun Huang Huajie Feng Fengze Ding Yu Li Xihong Lu Guangdong Industry Polytechnic College Guangzhou 510300GuangdongChina MOE of the Key Laboratory of Bioinorganic and Synthetic Chemistry KLGHEI of Environment and Energy ChemistrySchool of ChemistrySun Yat-Sen UniversityGuangzhou 510275GuangdongChina Key Laboratory of Electrochemical Energy Storage and Energy Conversion of Hainan Province Hainan Normal UniversityHaikou 571158HainanChina

The development of zinc ion batteries (ZIBs) with large capacity,high rate,and durable cathode material is a crucial and urgent task.Ni Co_(2)O_(4)(NCO) has received ever-growing interest as a potential cathode material for ZIBs,owing to the high theoretical capacity,rich source,cost-effective,and versatile redox nature.However,due to the slow dynamics of the NCO electrodes,its practical application in highperformance systems is severely limited.Herein,we report an electron density modulated NCO nanosheets (N-NCO NSs) with high-kinetics Zn^(2+)-storage capability as an additive-free cathode for flexible all-solid-state (ASS) ZIBs.By virtue of the enhanced electronic conductivity,improved reaction kinetics,and increased active sites,the optimized N-NCO NSs electrode delivers a high capacity of 357.7 m Ah g^(-1)at 1.0 A g^(-1)and a superior rate capacity of 201.4 m Ah g^(-1)at 20 A g^(-1).More importantly,a flexible ASS ZIBs device is manufactured using a solid polymer electrolyte of a poly (vinylidene fluoride hexafluoropropylene)(PVDF-HFP) film.The flexible ASS ZIBs device shows superb durability with 80.2%capacity retention after 20,000 cycles and works well in the range of-20–70℃.Furthermore,the flexible ASS ZIBs achieves an impressive energy density as high as 578.1 W h kg^(-1)with a peak power density of 33.6 k W kg^(-1),substantially outperforming those latest ZIBs.This work could provide valuable insights for constructing high-kinetics and high-capability cathodes with long-term stability for flexible ASS ZIBs.

关键词： Electron densities modulation NiCo_(2)O_(4)nanosheets All-solid-state Flexible Zinc ion batteries

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Advancing the incremental fusion of robotic sensory features using online multi-kernel extreme learning machine

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Frontiers of Computer Science 2017年第2期11卷 276-289页

作者： Lele CAO fuchun SUN Hongbo LI Wenbing huang State Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing 100084 China Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing 100084 China Department of Computing and Information Systems The University of Melbourne Parkville 3010 VIC Australia

Robot recognition tasks usually require multiple homogeneous or heterogeneous sensors which intrinsically generate sequential, redundant, and storage demanding data with various noise pollution. Thus, online machine learning algorithms performing efficient sensory feature fusion have become a hot topic in robot recognition domain. This paper proposes an online multi-kernel extreme learning machine （OM-ELM） which assembles multiple ELM classifiers and optimizes the kernel weights with a p-norm formulation of multi-kernel learning （MKL） problem. It can be applied in feature fusion applications that require incremental learning over multiple sequential sensory readings. The performance of OM-ELM is tested towards four different robot recognition tasks. By comparing to several state-of-the-art online models for multi-kernel learning, we claim that our method achieves a superior or equivalent training accuracy and generalization ability with less training time. Practical suggestions are also given to aid effective online fusion of robot sensory features.

关键词： multi-kernel learning online learning extreme learning machine feature fusion robot recognition

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A novel multi-modal tactile sensor design using thermochromic material

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Science China(Information Sciences) 2019年第11期62卷 189-191页

作者： fuchun SUN Bin FANG Hongxiang XUE Huaping LIU Haiming huang Department of Computer Science and Technology Tsinghua University Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University College of Information Engineering Shenzhen University

Tactile sensors are important for ensuring robotic perception [1], and their performance directly affects a robot’s capability for performing dexterous operations. These sensors mimic the tactile sensing capability of human hands. This is because the skin of human hands is involved in considerably meticulous works and can provide multi-

关键词： A novel multi-modal tactile sensor design using thermochromic material

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Machine Learning-Based Multi-Modal Information Perception for Soft Robotic Hands

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Tsinghua Science and Technology 2020年第2期25卷 255-269页

作者： Haiming huang Junhao Lin Linyuan Wu Bin Fang Zhenkun Wen fuchun Sun College of Electronics and Information Engineering Shenzhen UniversityShenzhen 518060China Department of Computer Science and Technology Tsinghua UniversityTsinghua UniversityBeijing 100084China College of Computer Science and Software Engineering Shenzhen UniversityShenzhen 518060China

This paper focuses on multi-modal Information Perception(IP)for Soft Robotic Hands(SRHs)using Machine Learning(ML)algorithms.A flexible Optical Fiber-based Curvature Sensor(OFCS)is fabricated,consisting of a Light-Emitting Diode(LED),photosensitive detector,and optical fiber.Bending the roughened optical fiber generates lower light intensity,which reflecting the curvature of the soft finger.Together with the curvature and pressure information,multi-modal IP is performed to improve the recognition accuracy.Recognitions of gesture,object shape,size,and weight are implemented with multiple ML approaches,including the Supervised Learning Algorithms(SLAs)of K-Nearest Neighbor(KNN),Support Vector Machine(SVM),Logistic Regression(LR),and the unSupervised Learning Algorithm(un-SLA)of K-Means Clustering(KMC).Moreover,Optical Sensor Information(OSI),Pressure Sensor Information(PSI),and Double-Sensor Information(DSI)are adopted to compare the recognition accuracies.The experiment results demonstrate that the proposed sensors and recognition approaches are feasible and effective.The recognition accuracies obtained using the above ML algorithms and three modes of sensor information are higer than 85 percent for almost all combinations.Moreover,DSI is more accurate when compared to single modal sensor information and the KNN algorithm with a DSI outperforms the other combinations in recognition accuracy.

关键词： multi-modal sensors optical fiber gesture recognition object recognition Soft Robotic Hands(SRHs) Machine Learning(ML)

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Skill Learning for Human-Robot Interaction Using Wearable Device

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Tsinghua Science and Technology 2019年第6期24卷 654-662页

作者： Bin Fang Xiang Wei fuchun Sun Haiming huang Yuanlong Yu Huaping Liu Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China Fuzhou University Fuzhou 350108 China College of Information Engineering Shenzhen UniversityShenzhen 518060China

With the accelerated aging of the global population and escalating labor costs, more service robots are needed to help people perform complex tasks. As such, human-robot interaction is a particularly important research topic. To effectively transfer human behavior skills to a robot, in this study, we conveyed skill-learning functions via our proposed wearable device. The robotic teleoperation system utilizes interactive demonstration via the wearable device by directly controlling the speed of the motors. We present a rotation-invariant dynamicalmovement-primitive method for learning interaction skills. We also conducted robotic teleoperation demonstrations and designed imitation learning experiments. The experimental human-robot interaction results confirm the effectiveness of the proposed method.

关键词： skill learning interaction teleoperation dynamical movement primitive

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农民专业合作社联合社发展动力与障碍的经济学分析

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河南农业大学学报 2020年第4期54卷 711-717页

作者：梅付春黄笑黄松河南农业大学经济与管理学院河南郑州450002 河南农业大学生命科学学院河南郑州450002 信阳农林学院河南信阳464000

农民专业合作社联合社作为一种新型农业经营主体在近年来得到了初步发展。在联合社发展的初期阶段,一个亟待解决的重要问题就是弄清联合社发生发展的内在动力与障碍因素,为更多具有针对性的相关促进政策供给指明方向。依据对43家样本合... 详细信息

农民专业合作社联合社作为一种新型农业经营主体在近年来得到了初步发展。在联合社发展的初期阶段,一个亟待解决的重要问题就是弄清联合社发生发展的内在动力与障碍因素,为更多具有针对性的相关促进政策供给指明方向。依据对43家样本合作社的实地访谈数据,运用边际分析法和家庭生产函数分析了单个农民专业合作社的边际收益及其生产边界,并从制度经济学视角分析了联合社发展面临的正式制度与非正式制度障碍。结果表明,单个农民专业合作社面临着扩张的需求与扩张空间有限的矛盾,正是这一矛盾才决定了农民专业合作社的扩张就必须要突破生产边界的制约,走联合发展之路。另一方面,由于正式制度供给不足与非正式制度的惯性,合作社之间的联合困难很大。

关键词：农民专业合作社联合社家庭生产函数边际收益

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近5年针灸治疗青春期原发性痛经研究进展

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中医药信息 2023年第1期40卷 75-78页

作者：黄河清王富春长春中医药大学吉林长春130117

原发性痛经是青春期女性常见的妇科疾患之一,近年来发病率显著上升,且程度不断加剧,严重影响青春期女性学习、工作效率和生活质量。笔者通过查阅近5年相关文献发现,原发性痛经好发于青春期女性,现代医学治疗青春期痛经的首选药物为非甾... 详细信息

原发性痛经是青春期女性常见的妇科疾患之一,近年来发病率显著上升,且程度不断加剧,严重影响青春期女性学习、工作效率和生活质量。笔者通过查阅近5年相关文献发现,原发性痛经好发于青春期女性,现代医学治疗青春期痛经的首选药物为非甾体抗炎药、孕激素和口服避孕药,短期内疗效突出,但是长期疗效不佳,容易形成依赖并且存在胃肠道不良反应的风险性。目前针灸是治疗痛经的方法之一,本文通过对查阅的相关文献进行分析、整理,发现针灸治疗青春期原发性痛经的方法较为丰富,主要包含针刺、艾灸、揿针、耳针、穴位贴敷以及联合疗法等,以上方法在改善痛经症状、缓解疼痛程度等方面均收效显著,其机制与改善前列腺素、内分泌激素水平有关。

关键词：青春期原发性痛经针灸

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Corrosion Behavior of Cupronickel Alloy in Simulated Seawater in the Presence of Sulfate-Reducing Bacteria

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Acta Metallurgica Sinica(English Letters) 2017年第12期30卷 1201-1209页

作者： Yanyan Song Hongwei Shi Jun Wang fuchun Liu En-Hou Han Wei Ke Ganxin Jie Jun Wang Haijun huang CAS Key Laboratory of Nuclear Materials and Safety Assessment Institute of Metal Research Chinese Academy of Sciences Shenyang 110016 China Department of Chemistry Northeastern UniversityShenyang 110004 China State Key Laboratory of Environmental Adaptability for Industrial Products National Electric Apparatus Research Institute Co. Ltd Guangzhou 510633 China

The corrosion behavior of cupronickel alloy immersed in the simulated seawater in or without the presence of sulfate-reducing bacteria （SRB） was studied. The results of scanning electronic microscopy and electrochemical impedance spectra reveal that corrosion of the sample immersed in the simulated seawater with SRB was more serious than that immersed in the simulated seawater without SRB. The atomic force microscopy images show that after immersion for 15 days, the surface roughness of the sample in the simulated seawater with SRB was higher than that of the sample in the simulated seawater without SRB. The analysis of confocal laser scanning microscopy indicates that the average depth of the pits on the surface of the sample in the simulated seawater with SRB was almost twice deeper than that of the sample in the simulated seawater without SRB.

关键词： Microbiologically influenced corrosion Sulfate-reducing bacteria Cupronickel alloy Confocal laser scanning microscopy EIS

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基于AdvantEdge的Ti6Al4V钛合金多工步切削加工表面残余应力分析

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工具技术 2023年第12期57卷 82-88页

作者：黄雨孙付春陈云杨柳成都大学机械工程学院成都市610106 成都大学国资处成都工具研究所有限公司

本文基于Third Wave AdvantEdge软件,采用Johnson-Cook本构模型和库伦摩擦模型建立了Ti6Al4V合金多工步切削有限元模型,且基于已有文献验证了模型的准确性。以工件已加工表面残余应力为研究对象,分析了切削速度、进给量及刀具涂层对不... 详细信息

本文基于Third Wave AdvantEdge软件,采用Johnson-Cook本构模型和库伦摩擦模型建立了Ti6Al4V合金多工步切削有限元模型,且基于已有文献验证了模型的准确性。以工件已加工表面残余应力为研究对象,分析了切削速度、进给量及刀具涂层对不同工步作用下残余应力的影响,得出可供参考的结论。

关键词： Ti6Al4V 多工步刀具涂层残余应力

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