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Energy & Environmental Materials 2025年第2期8卷 187-195页

作者： Jong-Hwan Park Sun-Woo Kim So Young Lee Yuri Jung Jae-Chul Ro Seong-Ju Park Hyoung-Juhn Kim Dong Han Seo Su-Jeong Suh school of Advanced Materials Science and engineering Sungkyunkwan University Daegu mechatronics & Materials Institute Energy Materials & Devices Department of Energy Engineering Korea Institute of Energy Technology KENTECH

Metal dichalcogenide-based 2D materials,gained considerable attention recently as a hydrogen evolution reaction（HER） *** this work,we synthesized MoSe2-based electrocatalyst via hydrothermal route with varying phase contents（1T/2H） and respective HER performances were evaluated under the acidic media（0.5 M H2SO4）,where best HER performance was obtained from the sample consisting of mixed 1T/2H phases,which was directly grown on a carbon paper(167 mV at10 mA cm-2) Furthermore,HER performance of electrocatalyst was further improved by in-situ electrodeposition of Pt nanoparticles（0.15 wt%） on the MoSe2 surface,which lead to significant enhancement in the HER performances(133 mV at 10 mA cm-2).Finally,we conducted density functional theory calculations to reveal the origin of such enhanced performances when the mixed 1T/2H phases were present,where phase boundary region（1T/2H heterojunction） act as a low energy pathway for H2adsorption and desorption via electron accumulation ***,presence of the Pt nanoparticles tunes the electronic states of the MoSe2based catalyst,resulting in the enhanced HER activity at heterointerface of 1T/2H MoSe2 while facilitating the hydrogen adsorption and desorption process providing a low energy pathway for *** results provide new insight on atomic level understanding of the MoSe2based catalyst for HER application.

关键词： 2D materials electrocatalysis HER mixed phase MoSe2

Research on the Camouflage Characteristics of a Microfluidic Vision Camouflage System Based on the Image Inpainting Algorithm

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Journal of Bionic engineering 2025年第1期22卷 370-382页

作者： Jian Cao Huanhuan Li Songjing Li Jiyan He Zhifan Li school of mechatronics engineering Harbin Institute of TechnologyHarbin150001China Tianjin Institute of Aerospace Mechanical and Electrical Equipment Tianjin300301China

Combining deep-learning image inpainting algorithms with the microfluidic technology,the paper proposes a method to achieve dynamic stealth and camouflage by using a microfluidic vision camouflage system simulating the chameleon *** basic principle is to perceive color changes in the external environment and collect ambient image information,and then utilize the image inpainting algorithm to adjust the control signals of the microfluidic system in real *** detailed working principle of the microfluidic vision camouflage system is presented,and the mechanism of generating control signals for the system through deep-learning image inpainting algorithms and image-processing techniques is *** camouflage effect of the chameleon skin is analyzed and evaluated using color *** indicate that the camouflaged images are consistent with the background environment,thereby improving the target’s stealth and maneuvering *** camouflage technology developed in the paper based on the microfluidic vision camouflage system can be applied to several situations,such as military camouflage uniforms,robot skins,and weapon equipment.

关键词： Chameleon skin Bionic skin Microfluidic technology Self-adaptive system Camouflage film

Interference Suppression and Jitter Elimination Ability-Based Adaption Tracking Guidance for Robotic Fishes

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 126-137页

作者： Dongfang Li Jie Huang Rob Law Xin Xu Limin Zhu Edmond Q.Wu IEEE the school of Electrical engineering and Automation Fuzhou University the Key Laboratory of System Control and Information Processing Ministry of Education the school of Electrical engineering and Automation Fuzhou University 5G+Industrial Internet Institute Fuzhou University the University of Macau the College of mechatronics and Automation National University of Defense Technology the school of Mechanical engineering Shanghai Jiao Tong University the Department of Computer Science and engineering Shanghai Jiao Tong University

This work presents an adaptive tracking guidance method for robotic fishes. The scheme enables robots to suppress external interference and eliminate motion jitter. An adaptive integral surge line-of-sight guidance rule is designed to eliminate dynamics interference and sideslip issues. Limited-time yaw and surge speed observers are reported to fit disturbance variables in the model. The approximation values can compensate for the system's control input and improve the robots' tracking ***, this work develops a terminal sliding mode controller and third-order differential processor to determine the rotational torque and reduce the robots' run jitter. Then, Lyapunov's theory proves the uniform ultimate boundedness of the proposed method. Simulation and physical experiments confirm that the technology improves the tracking error convergence speed and stability of robotic fishes.

关键词： Adaptive integral surge line-of-sight approximation robotic fish speed observer

A Perspective-Aware Cyclist Image Generation Method for Perception Development of Autonomous Vehicles

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Computers, Materials & Continua 2025年第2期82卷 2687-2702页

作者： Beike Yu Dafang Wang Xing Cui Bowen Yang school of mechatronics engineering Harbin Institute of TechnologyWeihai264200China China North Artificial Intelligence&Innovation Research Institute Beijing100000China

Realistic urban scene generation has been extensively studied for the sake of the development of autonomous vehicles. However, the research has primarily focused on the synthesis of vehicles and pedestrians, while the generation of cyclists is rarely presented due to its complexity. This paper proposes a perspective-aware and realistic cyclist generation method via object retrieval. Images, semantic maps, and depth labels of objects are first collected from existing datasets, categorized by class and perspective, and calculated by an algorithm newly designed according to imaging principles. During scene generation, objects with the desired class and perspective are retrieved from the collection and inserted into the background, which is then sent to the modified 2D synthesis model to generate images. This pipeline introduces a perspective computing method, utilizes object retrieval to control the perspective accurately, and modifies a diffusion model to achieve high fidelity. Experiments show that our proposal gets a 2.36 Fréchet Inception Distance, which is lower than the competitive methods, indicating a superior realistic expression ability. When these images are used for augmentation in the semantic segmentation task, the performance of ResNet-50 on the target class can be improved by 4.47%. These results demonstrate that the proposed method can be used to generate cyclists in corner cases to augment model training data, further enhancing the perception capability of autonomous vehicles and improving the safety performance of autonomous driving technology.

关键词： Realistic cyclist generation perspective-aware image synthesis autonomous vehicle artificial intelligence

Efect of Solution and Aging Treatment on Microstructure and Mechanical Properties of Al-14Si-5Cu-1.1Mg-2.3Ni-0.3La Alloy

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Acta Metallurgica Sinica(English Letters) 2025年第3期38卷 449-464页

作者： Jian Dong Jufu Jiang Ying Wang Minjie Huang Jingbo Cui Tao Song school of Materials Science and engineering Harbin Institute of TechnologyHarbin 150001China school of mechatronics engineering Harbin Institute of TechnologyHarbin 150001China

In this study,the efects of diferent heat treatment process parameters on the microstructure and mechanical properties of Al-12Si-5Cu-1.1Mg-2.3Ni-0.3La alloy were *** showed that eutectic Si underwent three stages during solution treatment:difusing,spheroidization and *** the solution temperature and time increased,the size of eutectic Si showed a trend of frst decreasing and then *** with the heat treatment time,the heat treatment temperature had a more signifcant efect on the mechanical *** coarsening of microstructure was the main reason for the deterioration of mechanical *** Al_(3)Ti and Al_(3)CuNiLa in the microstructure after aging can signifcantly improve the mechanical properties of the *** Al_(11)La_(3) with secondary precipitation occurred in the La-rich *** addition of La inhibited the growth of coherent/semi-coherentθandβphases,which was very benefcial for the improvement of high-temperature *** the optimal heat treatment process parameters of 500℃×4 h+190℃×4 h,the ultimate tensile strength(UTS)of the alloy reached 366.65 *** high-temperature strength and elongation of the alloy reached 101.98 MPa and 13.77%at 350℃,respectively.

关键词： Al-14Si-5Cu-1.1Mg-2.3Ni-0.3La alloy Heat treatment process Microstructure High-temperature mechanical properties

Modelling and experimental investigation of micro-dimpled structures milling with spiral trajectory tool reciprocating motion

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Chinese Journal of Aeronautics 2025年第2期38卷 577-596页

作者： Guangzhou WANG Linjie ZHAO Qi LIU Xiguang LI Yazhou SUN Mingjun CHEN school of mechatronics engineering Harbin Institute of TechnologyHarbin 150001China Centre for Precision Manufacturing DMEMUniversity of StrathclydeGlasgow G11XJUK State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001China

To mill fine and well-defined micro-dimpled structures,a machining manner of spiral trajectory tool reciprocating motion,where the tool repeats the process of‘feed milling–retract–cutting feed–feed milling again’along the spiral trajectory,was *** the kinematics analysis,it is found that the machining quality of micro-dimpled structures is highly dependent on the machining trajectory using spiral trajectory tool reciprocating *** reveal this causation,simulation modelling and experimental studies were carried out.A simulation model was developed to quantitatively and qualitatively investigate the influence of the trajectory discretization strategies(constant-angle and constant-arc length)and parameters(discrete angle,discrete arc length,and pitch)on surface texture and residual height of micro-dimpled ***,micro-dimpled structures were milled under different trajectory discretization strategies and parameters with spiral trajectory tool reciprocating motion.A comprehensive comparison between the milled results and simulation analysis was made based on geometry accuracy,surface morphology and surface roughness of milled ***,the errors and factors affecting the above three aspects were *** results demonstrate both the feasibility of the established simulation model and the machining capability of this machining way in milling high-quality micro-dimpled *** trajectory tool reciprocating motion provides a new machining way for milling micro-dimpled structures and micro-dimpled functional *** an appropriate machining trajectory can be generated based on the optimized trajectory parameters,thus contributing to the improvement of machining quality and efficiency.

关键词： Tool reciprocating motion Spiral trajectory Micro-dimpled structure Micromachining Simulation modelling with diamond tool Surface texture

Electrospun Membranes of Hydrophobic Polyimide and NH2-UiO-66 Nanocomposite for Desalination

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Energy & Environmental Materials 2025年第2期8卷 268-276页

作者： Seungju Kim Jue Hou Namita Roy Choudhury Sandra E.Kentish Chemical and Environmental engineering School of Engineering RMIT University Department of Chemical engineering The University of Melbourne

Hydrophobic nanofiber composite membranes comprising polyimide and metal-organic frameworks are developed for desalination via direct contact membrane distillation（DCMD）.Our study demonstrates the synthesis of hydrophobic polyimides with trifluoromethyl groups,along with superhydrophobic UiO-66（hMOF） prepared by phenylsilane modification on the metal-oxo *** components are then combined to create nanofiber membranes with improved hydro ph obi city,ensuring long-term stability while preserving a high water *** of hMOF into the polymer matrix further increases membrane hydrophobic properties and provides additional pathways for vapor transport during *** resulting nanofiber composite membranes containing 20 wt% of hMOFs（PI-1-hMOF-20） were able to desalinate hypersaline feed solution of up to 17 wt% NaCl solution,conditions that are beyond the capability of reverse osmosis *** membranes demonstrated a water flux of 68.1 kg m-2h-1with a rejection rate of 99.98% for a simulated seawater solution of 3.5 wt% NaCl at 70℃,while maintaining consistent desalination performance for 250 h.

关键词： desalination electrospinning membrane distillation metal organic frameworks polyimide

A Multi-Condition Sequential Network Ensemble for Industrial Energy Storage Prediction Considering the Condition Switching Characteristics

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 369-380页

作者： Tianyu Wang Fan Zhou Yangjie Wu Jun Zhao Wei Wang IEEE the school of Control Science and engineering Dalian University of Technology the school of Information Science and engineering Dalian Polytechnic University

As a crucial storage and buffering apparatus for balancing the production and consumption of byproduct gases in industrial processes, accurate prediction of gas tank levels is essential for optimizing energy system scheduling. Considering that the continuous switching of the pressure and valve status(mechanism knowledge) would bring about multiple working conditions of the equipment, a multi-condition time sequential network ensembled method is proposed. In order to especially consider the time dependence of different conditions, a centralwise condition sequential network is developed, where the network branches are specially designed based on the condition switching sequences. A branch combination transfer learning strategy is developed to tackle the sample imbalance problem of different condition data. Since the condition or status data are real-time information that cannot be recognized during the prediction process, a pre-trained and ensemble learning approach is further proposed to fuse the outputs of the multi-condition networks and realize a transient-state involved prediction. The performance of the proposed method is validated on practical energy data coming from a domestic steel plant, comparing with the state-of-the-art algorithms. The results show that the proposed method can maintain a high prediction accuracy under different condition switching cases, which would provide effective guidance for the optimal scheduling of the industrial energy systems.

关键词： Ensemble learning industrial energy prediction multi-working condition structural deep network transfer learning

Event-triggered leader-follower bipartite consensus control for nonlinear multi-agent systems under DoS attacks

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Science China(Information Sciences) 2025年第03期68卷 286-301页

作者： Wei SU Chaoxu MU Song ZHU Ben NIU Changyin SUN school of Control Science and engineering Tianjin University school of Mathematics China University of Mining and Technology school of Control Science and engineering Dalian University of Technology school of Automation Southeast University

Aiming at the consensus control problem of nonlinear multi-agent systems(MASs) under directed topology, a leader-follower bipartite consensus control strategy is proposed. This strategy takes into account the potential for denial-of-service(DoS) attacks and completely unknown system dynamics. Specifically, the bipartite consensus dynamics describes the cooperation and competition relationship between followers and the leader, that is, the follower chooses to move in accordance with or opposite to the leader according to its trajectory. In order to optimize the communication bandwidth and mitigate the impact of DoS attacks, the proposed consensus control scheme integrates the DoS attack detection mechanism and event-triggered mechanism. In addition, neural networks(NNs) are used to solve the nonlinear problem, and a speed function is designed to achieve the desired tracking performance, ensuring that all agents' tracking errors converge to a predefined set in a finite time. With the help of backstepping, graph theory, and Lyapunov stability theory, sufficient conditions for achieving bipartite consensus without Zeno behavior are established. Finally, the accuracy and feasibility of the theoretical analysis are verified by simulation cases.

关键词： multi-agent systems neural networks bipartite consensus event-trigger denial-of-service attack

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Revealing the effect of external pressure on solid-electrolyte interphase and lithium plating in lithium-ion batteries

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Journal of Energy Chemistry 2025年第03期102卷 734-744页

作者： Rui Xiong Haocheng Li Bing-Ang Mei Hongwen He Weixiang Shen National engineering Research Center of Electric Vehicles School of Mechanical Engineering Beijing Institute of Technology school of Science Computing and Engineering Technologies Swinburne University of Technology

Lithium plating is a detrimental phenomenon in lithium-ion cells that compromises both functionality and *** study investigates electro-chemo-mechanical behaviors of lithium plating in lithium iron phosphate pouch cells under different external *** force microscopy nanoindentation is performed on the graphite electrode to analyze the influence of external pressure on solid-electrolyte interphase(SEI),revealing that the mechanical strength of SEI,indicated by Young's modulus,increases with the presence of external ***,an improved phase field model for lithium plating is developed by incorporating electrochemical parameterization based on nonequilibrium *** results demonstrate that higher pressure promotes lateral lithium deposition,covering a larger area of ***,electrochemical impedance spectroscopy and thickness measurements of the pouch cells are conducted during overcharge,showing that external pressure suppresses gas generation and thus increases the proportion of lithium deposition among galvanostatic overcharge *** integrating experimental results with numerical simulations,it is demonstrated that moderate pressure mitigates SEI damage during lithium plating,while both insufficient and excessive pressure may exacerbate *** study offers new insights into optimizing the design and operation of lithium iron phosphate pouch cells under external pressures.

关键词： Electrochemical mechanics Lithium plating Lithium-ion batteries Overcharge Synergistic effects