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Potential dependence in electrocatalysis:a theoretical perspective

Science China Chemistry 2025年第1期68卷 21-25页

作者： Leyu Liu Zhaoming Xia Zeyu Wang Yinjuan Chen Hai Xiao Department of Chemistry Tsinghua UniversityBeijing 100084China Fundamental Science Center of Rare Earths Ganjiang Innovation AcademyChinese Academy of SciencesGanzhou 341119China Key Laboratory of Advanced Catalytic Materials and Technology Advanced Catalysis and Green Manufacturing Collaborative Innovation CenterChangzhou UniversityChangzhou 213164China

Electrocatalysis is a key technology for the new energy era and sustainable development,serving as the interface for interconversion of electrical and chemical energies,which spans a wide spectrum of applications in sustainable energy and environmental *** reactions including electrochemical CO_(2)reduction reaction(eCO_(2)RR),hydrogen evolution reaction(HER),and oxygen evolution/reduction reactions(OER/ORR),hold essential promise for renewable energy technologies as well as complement the biogeochemical carbon and oxygen cycles.

关键词： spectrum interface Electrocatalysis

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Low thermal conductivity of dense(TiZrHfVNbTa)C_(x) high-entropy carbides by tailoring carbon stoichiometry

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Journal of advanced Ceramics 2023年第1期12卷 49-58页

作者： Lei CHEN Wen ZHANG Wenyu LU Boxin WEI Sijia HUO Yujin WANG Yu ZHOU Institute for Advanced Ceramics School of Materials Science and EngineeringHarbin Institute of TechnologyHarbin 150001China Key Laboratory of Advanced Structural–Functional Integration Materials&Green Manufacturing Technology Harbin Institute of TechnologyHarbin 150001China School of Materials Science and Chemical Engineering Harbin University of Science and TechnologyHarbin 150001China

Transition metal carbides are promising candidates for thermal protection materials due to their high melting points and excellent mechanical ***,the relatively high thermal conductivity is still a major obstacle to its application in an ultra-high-temperature insulation *** this work,the low thermal conductivity of dense(TiZrHfVNbTa)Cx(x=0.6-1)high-entropy carbides has been realized by adjusting the carbon *** thermal conductivity gradually decreases from 10.6 W·m^(−1)·K^(−1) at room temperature to 6.4 W·m^(−1)·K^(−1) with carbon vacancies *** to enhanced scattering of phonons and electrons by the carbon vacancies,nearly full-dense(97.9%)(TiZrHfVNbTa)C_(0.6) possesses low thermal conductivity of 6.4 W·m^(−1)·K^(−1),thermal diffusivity of 2.3 mm^(2)·s^(−1),as well as electrical resistivity of 165.5μΩ·*** thermal conductivity of(TiZrHfVNbTa)C_(0.6) is lower than that of other quaternary and quinary high-entropy carbide ceramics,even if taking the difference of porosity into account in some cases,which is mainly attributed to compositional complexity and carbon *** provides a promising route to reduce the thermal conductivity of high-entropy carbides by increasing the number of metallic elements and carbon vacancies.

关键词： high-entropy carbides thermal conductivity compositional complexity carbon vacancies

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Biomimetic leaf structures for ultra-thin electromagnetic wave absorption

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Nano Research 2024年第5期17卷 4507-4516页

作者： Shikun Hou Ying Wang Feng Gao Fei Jin Benfeng Zhu Qiong Wu Hongliang Ge Zhihai Cao Hua Yang Magnetism Key Laboratory of Zhejiang Province&College of Optical and Electronic Technology China Jiliang UniversityHangzhou 310018China Department of Materials Science and Engineering Guangdong Technion-Israel Institute of TechnologyShantou 515063China Key Laboratory of Advanced Textile Materials and Manufacturing Technology and Engineering Research Center for Eco-Dyeing&Finishing of Textiles Ministry of EducationZhejiang Sci-Tech UniversityHangzhou 310018China

Ultra-thin electromagnetic wave(EMW)absorbers present challenging demands on EMW absorption *** inspiration from heather leaf structures,this study introduces an innovative design strategy for EMW absorbing material,proposing biomimetic leaf SnO_(2) structures(bio-SnO_(2))on carbon fabric(CF).By employing leaf-shaped SnS2 as precursors,biomimetic leaf SnO_(2) nanostructures are constructed on CF surface after a simple thermal treatment,resulting in bio-SnO_(2)@CF *** results indicate that bio-SnO_(2)@CF exhibits an exceptional minimum reflection loss of-54.8 dB at an incredibly thin thickness of 1.2 *** cross section(RCS)simulations further validate the outstanding EMW attenuation ability of bio-SnO_(2)@CF,attaining a maximum RCS reduction value of 16.9 dBm^(2) at an incident wave angle ofθ=0°.This novel research showcases the biomimetic structural design strategy and its remarkable function in enhancing the EMW absorbing performance at ultra-thin absorber thickness.

关键词： biomimetic leaf structures electromagnetic wave absorption ultra-thin thickness

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Friction and Wear Mathematical Modeling and Optimization Design of Surface Microstructure Parameters of Unfolding Wheel based on Experiment and Numerical Simulation

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Recent Patents on Engineering 2024年第5期18卷 121-132页

作者： Pan, Chengyi Yan, Yubin Gu, Yanguang Tong, Yuanqi School of Mechanical and Power Engineering Harbin University of Science and Technology Hei-longjiang Province Harbin150080 China Key Laboratory of Advanced Manufacturing and Intelligent Technology Ministry of Education Harbin University of Science and Technology Heilongjiang Provence Harbin150080 China

Objective: In order to improve the friction-increasing and wear-reducing performance of the unfolding wheel surface, the surface microstructure of the unfolding wheel used in the detection of 8 kinds of steel balls was optimized by parameter matching. Method: Firstly, based on Hertz's theory, the contact area between steel balls of different sizes and the unfolding wheel are analyzed. The wear depth model is established based on Archard adhesive wear model. Secondly, the appropriate microstructure parameters for friction and wear experiments were selected. The finite element analysis software is used to simulate the stress on the surface of the microstructure unfolding wheel and calculate the wear depth. According to the experimental results, the relationship between friction coefficient, wear depth and microstructure parameters is obtained by data fitting, and the objective function of optimization design is established. Finally, based on the genetic algorithm DNSGA-II and Python, the parameters are optimized, and the optimal solution is obtained by using the TOPSIS method. Results: The feasibility of the simulation method is verified by friction and wear experiments, and the correctness of the optimization method is verified. Some existing patents on friction and wear of microstructure surfaces are introduced, and the future development of this field is prospected Conclusion: The research shows that the optimal parameters matching of microstructure for steel ball diameters of Ф16.6688 mm~Ф22.2250 mm: the shape is rhombus;the area of a single pit is close to the contact area, which is 0.0319 mm2 ~ 0.0554 mm2;the pit depth is 145 μm~150 μm, and the surface density of microstructure is (5.4~5.6) /mm2. © 2024 Bentham Science Publishers.

关键词： Wheels

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Physics-informed battery degradation prediction:Forecasting charging curves using one-cycle data

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Journal of Energy Chemistry 2025年第2期101卷 825-836,I0018页

作者： Aihua Tang Yuchen Xu Jinpeng Tian Xing Shu Quanqing Yu Key Laboratory of Advanced Manufacturing Technology for Automobile Parts Ministry of EducationChongqing University of TechnologyChongqing 400054China Department of Electrical and Electronic Engineering and Research Centre for Grid Modernization The Hong Kong Polytechnic UniversityKowloonHong Kong 9997China School of Automotive Engineering Harbin Institute of TechnologyWeihai 264209ShandongChina

Accurately predicting battery degradation is crucial for battery system ***,due to the complexities of aging mechanisms and limitations of historical data,comprehensively indicating battery degradation solely through maximum capacity loss assessment is *** machine learning offers promising solutions,it often overlooks domain knowledge,resulting in reduced accu racy,increased computational burden and decreased ***,this study proposes a method to predict the voltage-capacity(V-Q) curve during battery degradation with limited historical *** process is achieved through two physically interpretable components:a lightweight interpretable physical model and a physics-informed neural *** components incorporate domain knowledge into machine learning to improve V-Q curve prediction performance and enhance *** validation was conducted on 52 batteries of different types under different testing *** proposed method can accurately predict future *** for hundreds of cycles using only one-present-cycle V-Q curve,with root mean square error and mean absolute error basically less than 0.035 Ah and R^(2) basically less than 98.5%.This means that incremental capacity curves can be extracted from the predicted results for a more comprehensive and accurate battery degradation ***,the method can flexibly adjust prediction length and density to cater to the practical needs of long-cycle prediction and data *** study provides a viable method for rapid degradation prediction and is expected to be generalized to in-vehicle implementations.

关键词： battery prediction curves

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Research on Real-Time Inspection Scheme of Tunnel Lining Surface Defects Based on YOLOv10

Research on Real-Time Inspection Scheme of Tunnel Lining Sur...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Fang, Enquan Li, Shijiao Liu, Zhen Wang, Yaodong Tao, Tao Guangzhou Metro Group Co. Ltd. Guangzhou510330 China State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong University Beijing China Ministry of Education Key Laboratory of Vehicle Advanced Manufacturing Measuring and Control Technology Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9789819639687

To address the issue of increasing tunnel surface defects due to prolonged service periods. This paper proposes an online recognition method using the YOLOv10 object detection algorithm for identifying tunnel surface conditions and intrinsic textures. Initially, tunnel inspection equipment was designed and deployed on a field operation inspection vehicle to facilitate the rapid acquisition of high-definition images of the tunnel surfaces. The collected images were meticulously annotated to highlight intrinsic textures such as cracks, water leaks, pipelines, bolt holes, and distribution boxes, resulting in 5,813 authentic tunnel defect images serving as the datasets for this study. Utilizing the YOLOv10 object detection model, the developed model achieved an accuracy of 80.6%, a recall rate of 77.8%, and an mAP0.5 of 81.3% on the experimental datasets. The model size is just 5.46 MB, and it achieves an FPS of 64.32, which is sufficient to meet the requirements for online detection and recognition tasks of tunnel surface defects. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Inspection equipment

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Boosted electromagnetic wave absorption performance from synergistic induced polarization of SiC_(NWs)@MnO_(2)@PPy heterostructures

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Nano Research 2023年第2期16卷 3558-3569页

作者： Meng Zhang Laibin Zhao Wenxin Zhao Ting Wang Liying Yuan Yuying Guo Yuxin Xie Tingting Cheng Alan Meng Zhenjiang Li College of Electromechanical Engineering Key Laboratory of Polymer Material Advanced Manufacturing’s Technology of Shandong provinceCollege of Materials Science and EngineeringQingdao University of Science and TechnologyQingdao 266061China Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science MOEShandong Key Laboratory of Biochemical AnalysisCollege of Gaomi CampusCollege of Chemistry and Molecular EngineeringQingdao University of Science and TechnologyQingdao 266042China

In the last decade,electromagnetic pollution has caused people’s considerable *** absorbing material with low cost,lightweight,simple preparation,and high electromagnetic attenuation efficiency has become a feasible means to deal with this *** this work,core–shell SiC_(NWs)@MnO_(2)@PPy(NWs:nanowires,PPy:polypyrrole)heterostructures composed of SiC nanowires core,MnO_(2)nanosheets inter-layer,and PPy coating were successfully prepared through chemical vapor deposition and two-step electrodeposition *** advantage of the interfacial polarization and dipole polarization,the obtained product displays excellent electromagnetic wave absorption performances with the minimum reflection loss(RLmin)of−50.59 dB when the matching thickness is 2.41 mm,and the optimal effective absorption bandwidth(EAB)value reaches to 6.64 GHz at a matching thickness of 2.46 mm,revealing that the SiC_(NWs)@MnO_(2)@PPy nanocomposite could be served as a promising electromagnetic wave absorbing *** the basis of systematic analysis concerning the electromagnetic parameters,the dissipation process of the incident electromagnetic wave was demonstrated reasonably,which may provide a referable preparation strategy for novel heterostructures,especially nonmagnetic lightweight absorbing material.

关键词： SiC nanowires heterostructure polarization loss electromagnetic wave absorption attenuation mechanism

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Mechanical behavior of SiC reinforced ZA63 Mg matrix composites: Experiments and 3D finite element modelling

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Journal of Magnesium and Alloys 2025年第3期13卷 1294-1309页

作者： Chong Wang Zelong Du Enyu Guo Shuying Bai Zongning Chen Huijun Kang Guohao Du Yanling Xue Tongmin Wang Key Laboratory of Solidification Control and Digital Preparation Technology(Liaoning Province) School of Materials Science and EngineeringDalian University of TechnologyDalian 116024China Ningbo Institute of Dalian University of Technology Ningbo 315000China Shanghai Synchrotron Radiation Facility Shanghai Advanced Research Institute CASShanghai201204China

In this work,the microstructure evolution and mechanical behavior of extruded SiC/ZA63 Mg matrix composites are investigated via combined experimental study and three-dimensionalﬁnite element modelling(3D FEM)based on the actual 3D microstructure achieved by synchrotron *** results show that the average grain size of composite increases from 0.57μm of 8μm-SiC/ZA63 to 8.73μm of 50μm-SiC/*** type of texture transforms from the typicalﬁber texture in 8μm-SiC/ZA63 to intense basal texture in 50μm-SiC/ZA63 composite and the intensity of texture increases sharply with increase of SiC particle *** dynamic recrystallization(DRX)mechanism is also changed with increasing SiC particle *** and simulation results verify that the strength and elongation both decrease with increase of SiC particle *** 8μm-SiC/ZA63 composite possesses the optimal mechanical property with yield strength(YS)of 383 MPa,ultimate tensile strength(UTS)of 424 MPa and elongation of 6.3%.The outstanding mechanical property is attributed to the ultraﬁne grain size,high-density precipitates and dislocation,good loading transfer effect and the interface bonding between SiC and matrix,as well as the weakened basal *** simulation results reveal that the micro-cracks tend to initiate at the interface between SiC and matrix,and then propagate along the interface between particle and Mg matrix or at the high strain and stress regions,and further connect with other *** main fracture mechanism in 8μm-SiC/ZA63 composite is ductile damage of matrix and interfacial *** the increase of particle size,interface strength and particle strength decrease,and interface debonding and particle rupture become the main fracture mechanism in the 30μm-and 50μm-SiC/ZA63 composites.

关键词： Mg matrix composite Synchrotron tomography 3D finite element model Microstructure evolution Mechanical property

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Low-hysteresis Flexible Strain Sensors Based on Liquid Metal for Human-Robot Interaction 16th

Low-hysteresis Flexible Strain Sensors Based on Liquid Metal...

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16th International Conference on Intelligent Robotics and Applications, ICIRA 2023

作者： Dong, Tianyun Chen, Yi Wang, Juntao You, Hui Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology School of Mechanical Engineering Guangxi University Nanning530004 China

ISBN: (纸本)9789819964857

Flexible strain sensors have aroused great interest in the fields of human-machine interaction, human motion detection, and wearable devices. However, developing flexible strain sensors with low hysteresis, large strain range, fast response time, and excellent dynamic and static stability remains a challenge. In this paper, we prepared three types of flexible strain sensors: wave-shaped, triangle-shaped, and line-shaped by injecting liquid metal (EGaIn) into the silicon elastomer (Ecoflex) microchannel. Then, the performance of the three types of flexible strain sensors was tested. The results show that these sensors can withstand more than 150% strain and have extremely low hysteresis. Among these sensors, the triangle-shaped strain sensor exhibits a negligible hysteresis of 0.049% and the line-shaped strain sensor has the most obvious hysteresis of 1.406%, followed by the wave-shaped strain sensor with a hysteresis of 0.146%. However, the line-shaped strain sensor has the highest sensitivity with the value about 1.2, while the wavy-shaped and triangle-shaped strain sensors have a lower value of 0.95 and 0.83, respectively. In addition, the three types of sensors simultaneously exhibit many excellent performance characteristics such as excellent dynamic and static stability, long durability, and fast response time. To demonstrate the capability of the sensors in practical application, we used the triangle-shaped strain sensor to detect the bending motion of the robot finger. The results indicate that the developed flexible strain sensors are expected to be used for human-robot interaction. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Hysteresis

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Global output feedback adaptive stabilization for systems with long uncertain input delay

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Science China(Information Sciences) 2023年第1期66卷 326-327页

作者： Zhuping WANG Jingcheng LIU Chao HUANG Hao ZHANG Huaicheng YAN School of Electronics and Information Engineering Tongji University Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology

Dear editor,The uncertain input delay is frequently encountered in engineering control systems. Adaptation is indispensable when the uncertain input delay is significant. In existing delayadaptive controllers [1–6], the actuator state must be measured to achieve global stability. Recently, a logic-based switching delay-adaptive state-feedback controller [7] was proposed to realize global stability without measuring the actuator state.

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