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2024 IEEE International Conference on Control science and Systems Engineering, ICCSSE 2024

作者： Pan, Tianxiang Song, Jiajia Li, Kun Di, Jian Ji, Haibo Wu, Ke University of Science and Technology of China Department of Automation Hefei China Institute of Advanced Technology University of Science and Technology of China Hefei China

ISBN: (纸本)9798331517199

Currently, 3D Lidar is widely used in indoor SLAM tasks due to its stable and reliable measurement performance. However, it suffers from significant positioning and mapping errors in indoor degraded environments, making it difficult to ensure high global consistency. This issue has long constrained its development. To address these challenges, this paper proposes an indoor mobile robot SLAM algorithm based on multi-sensor information fusion. This method bypasses the need for relying solely on degraded state estimation, thereby overcoming the limitations of a single sensor in real-world environments by leveraging complementary features between sensors to solve the indoor degradation problem. This paper integrates Inertial Measurement Unit (IMU), Ultra-Wideband (UWB) ranging, and Lidar information, and designs a complete SLAM algorithm framework based on nonlinear optimization and an error-state Kalman filter. At the same time, the degradation level of the point cloud perceived by the Lidar is used as a key basis for selecting the UWB residual weight, thereby addressing the problem of indoor Lidar point cloud degradation. Finally, this paper demonstrates the superiority of the algorithm through real-world experiments. © 2024 IEEE.

关键词： Information fusion

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Design and fabrication of bipolar plates for PEM water electrolyser

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Journal of Materials science & technology 2023年第15期146卷 19-41页

作者： Xiejing Luo Chenhao Ren Jie Song Hong Luo Kui Xiao Dawei Zhang Junjie Hao Zhanfeng Deng Chaofang Dong Xiaogang Li Beijing Advanced Innovation Center for Materials Genome Engineering Key Laboratory for Corrosion and Protection(MOE)Beijing 100083China Institute for Advanced Materials and Technology University of Science and Technology BeijingBeijing 100083China State Key Laboratory of Advanced Power Transmission Technology State Grid Smart Grid Research Institute Co.Ltd.Beijing 102209China

Hydrogen energy,whether in generation plants or utilization facilities,plays a decisive role in the mission to achieve net-zero greenhouse gas emissions,all to minimize *** growing demand for clean energy carrier steadily accelerates the development of hydrogen production processes,and therein proton exchange membrane(PEM)water electrolysis is deemed a promising long-term strategy for hydrogen preparation and *** review retrospects recent developments and applications of bipolar plates(BPs)as key components in PEM fuel cells and water *** main content includes multifaceted challenges in the R&D or fabrication of BPs and potential future trends have also been *** details cover the BPs matrix(metallic materials and carbon composites)and the surface coating types(metal and compound coatings,carbon-based coatings,and polymer coatings),as well as the influence of flow field design for mass ***-term development and feasible researches of BPs are *** in the following aspects:(1)Structural and functional integration of components,such as material fabrication and flow field geometry optimization using 3D printing technology;(2)Introduction of environment-friendly renewable energy for hydrogen production;(3)Research on hydrogen energy reversible systems;(4)Composition optimization of surface coatings based on computational materials science and(5)systematic design expected to evolve into the next generation of BPs.

关键词： PEM water electrolyser Bipolar plates Corrosion Coatings Interfacial contact resistance

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In-situ solution Fe-doping: A versatile pathway to significantly enhance charge separation in CuBi2O4 photocathodes

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Journal of Energy Chemistry 2025年第6期105卷 1-11页

作者： Jing Gao Qitao Liu Haotian Wang Muhammad Bilal Akbar Zhihua Wu Jiabo Le Jianming Li Qinglu Liu Yongbo Kuang School of Materials Science and Chemical Engineering Ningbo University Zhejiang Key Laboratory of Advanced Fuel Cells and Electrolyzes Technology Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Institute of Materials Ningbo University of Technology Center of Artificial Photosynthesis for Solar Fuels and Department of Chemistry School of Science and Research Center for Industries of the Future Westlake University Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences

CuBi2O4（CBO） photocathodes hold significant promise for efficient photoelectrochemical（PEC） water splitting due to their favorable band gap and theoretical onset ***,their practical application is hindered by poor charge separation ***,we introduce a characteristic in-situ solution Fe-doping strategy that markedly improves photoelectrochemical performance of CBO,doubling the photocurrent density and achieving an unprecedented 190 mV anodic shift in the onset *** integrating with an electrochemical oxidation post-treatment,a record incident photon-to-current efficiency（IPCE） exceeding 40% at 0.6 V *** under visible light illumination is *** versatility of the doping strategy is demonstrated across CBO photocathodes synthesized by different methods with various morphologies,grain sizes,and *** studies reveal that the gradient distribution of Fe3+ions generates an internal electric field that facilitates efficient charge separation and increases acceptor *** strong Fe-O bonding also enhances structural stability against photoinduced ***,our investigation uncovers the non-temperature-dependent nature of CBO photocurrent,indicating that PEC performance enhancement primarily depends on reducing carrier recombination rather than improving bulk *** work lays the groundwork for future advancements in water splitting performance of CBO photocathodes,offering a complementary strategy to conventional methods for enhancing charge separation efficiency.

关键词： Charge separation efficiency CuBi2O4 photocathode Gradient Fe doping Internal electric field Post-synthetic treatment Surface states passivation

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Recent progress on stability and applications of flexible perovskite photodetectors

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Journal of Semiconductors 2025年第1期46卷 5-19页

作者： Ying Hu Qianpeng Zhang Junchao Han Xinxin Lian Hualiang Lv Yu Pei Siqing Shen Yongli Liang Hao Hu Meng Chen Xiaoliang Mo Junhao Chu State Key Laboratory of Photovoltaic Science and Technology Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and PerceptionDepartment of Materials ScienceInstitute of OptoelectronicsFudan UniversityShanghai 200433China Advanced Silicon Technology Co. Ltd.Shanghai 201616China

Flexible photodetectors have garnered significant attention by virtue of their potential applications in environmental monitoring,wearable healthcare,imaging sensing,and portable optical *** stand out as particularly promising materials for photodetectors,offering exceptional optoelectronic properties,tunable band gaps,low-temperature solution processing,and notable mechanical *** this review,we explore the latest progress in flexible perovskite photodetectors,emphasizing the strategies developed for photoactive materials and device structures to enhance optoelectronic performance and ***,we discuss typical applications of these devices and offer insights into future directions and potential applications.

关键词： perovskite flexible photodetector stability versatile applications

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Multi-scale feature fusion for facial expression recognition

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Neural Computing and Applications 2025年第17期37卷 11399-11420页

作者： Guo, Jiatao Peng, Junjie Huang, Yansong Chen, Gan Cai, Zesu Tan, Shuhua School of Computer Engineering and Science Shanghai University Shanghai China Shanghai Institute for Advanced Communication and Data Science Shanghai University Shanghai China School of Computer Science and Technology Harbin Institute of Technology Harbin China National Engineering Laboratory for Logistics Information Technology YTO Express Co. Ltd. Shanghai China

As an important computer vision task that can be used in many areas, facial expression recognition (FER) has been widely studied which much progress has been obtained especially when deep learning (DL) approaches have been introduced in FER. However, existing methods are restricted to extracting localized information or utilizing attention mechanism to focus on the region most relevant to the emotion, possibly resulting in errors in facial expression interpretation. Moreover, the inconsistency of image sizes in the wild FER datasets further increases the difficulty of the FER task. To address these issues, we propose a multi-scale feature fusion (MSFF) for FER. Specifically, our method first extracts features from facial images using multi-scale feature extraction to obtain rich multi-dimensional information. Meanwhile, extensive feature extraction at different scales is achieved by expanding the receptive field of the model, which provides the basis for more detailed analysis of facial expressions. Eventually, features at different scales are fused to enhance their synergistic effect. Subsequently, the adaptive extraction of comprehensive and valuable information from the fused features is performed, optimizing the performance of expression recognition. Extensive experimental results demonstrate that the proposed method outperforms the state-of-the-art methods on in-the-wild datasets. It is promising for FER in realistic and complex scenarios. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025.

关键词： Feature extraction

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On-demand imidazolidinyl urea-based tissue-like,self-healable,and antibacterial hydrogels for infectious wound care

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Bioactive Materials 2025年第2期44卷 116-130页

作者： Qi Wu Krishanu Ghosal Nadine Kana’an Shounak Roy Nagham Rashed Ranabir Majumder Mahitosh Mandal Liang Gao Shady Farah The Laboratory for Advanced Functional/Medicinal Polymers&Smart Drug Delivery Technologies The Wolfson Faculty of Chemical EngineeringTechnion-Israel Institute of TechnologyHaifa3200003Israel School of Medical Science and Technology Indian Institute of Technology KharagpurWest Bengal721302India Jinan Key Laboratory of High Performance Industrial Software Jinan Institute of Supercomputing TechnologyJinan250000China The Russell Berrie Nanotechnology Institute Technion-Israel Institute of TechnologyHaifa3200003Israel

Bacterial wound infections are a growing challenge in healthcare,posing severe risks like systemic infection,organ failure,and sepsis,with projections predicting over 10 million deaths annually by *** hydrogels,with adaptable extracellular matrix-like features,are emerging as promising solutions for treating infectious ***,the antibacterial properties of most of these hydrogels are largely attributed to extrinsic agents,and their mechanisms of action remain poorly *** we introduce for the first time,modified imidazolidinyl urea(IU)as the polymeric backbone for developing tissue-like antibacterial ***-designed hydrogels behave tissue-like mechanical features,outstanding antifreeze behavior,and rapid self-healing *** dynamics(MD)simulation and density functional theory(DFT)calculation were employed to well-understand the extent of H-bonding and metal-ligand coordination to finetune hydrogels’*** vitro studies suggest good biocompatibility of hydrogels against mouse fibroblasts&human skin,lung,and red blood cells,with potential wound healing ***,the hydrogels exhibit good 3D printability and remarkable antibacterial activity,attributed to concentration dependent ROS genera-tion,oxidative stress induction,and subsequent disruption of bacterial *** top of that,in vitro biofilm studies confirmed that developed hydrogels are effective in preventing biofilm ***,these tissue-mimetic hydrogels present a promising and effective platform for accelerating wound healing while simulta-neously controlling bacterial infections,offering hope for the future of wound care.

关键词： Imidazolidinyl urea Self-healing Antibacterial hydrogel Antibiofilm hydrogel Wound care

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Metal-Salen-Incorporated conjugated microporous polymers as robust artificial leaves for solar-driven reduction of atmospheric CO_(2)with H_(2)O

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Carbon Energy 2025年第1期7卷 1-11页

作者： Wei Wu Zhaocen Dong Mantao Chen Waner Li An Liao Qing Liu Yachao Zhang Zhixin Zhou Chao Zeng Xuezhong Gong Chunhui Dai Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation School of Chemistry and Materials ScienceEast China University of TechnologyNanchang330013China Institute of Hybrid Materials National Center of International Research for Hybrid Materials TechnologyNational Base of International Science&Technology CooperationCollege of Materials Science and EngineeringQingdao UniversityQingdao266071China Institute of Advanced Materials(IAM) Jiangxi Normal UniversityNanchangChina

Exploration of efficient and stable photocatalysts to mimic natural leaves for the conversion of atmospheric CO_(2)into hydrocarbons utilizing solar light is very important but remains a major ***,we report the design of four novel metal-salen-incorporated conjugated microporous polymers as robust artificial leaves for photoreduction of atmospheric CO_(2)with gaseous *** to the rich nitrogen and oxygen moieties in the polymeric frameworks,they show a maximum CO_(2)adsorption capacity of 46.1 cm3 g^(−1)and adsorption selectivity for CO_(2)/N_(2)of up to 82 at 273 *** air atmosphere and simulated solar light(100mWcm^(−2)),TEPT-Zn shows an excellent CO yield of 304.96μmol h^(−1)g^(−1)with a selectivity of approximately 100%,which represents one of the best results in terms of organic photocatalysts for gas-phase CO_(2)photoreduction so ***,only small degradation in the CO yield is observed even after 120-h continuous *** importantly,a good CO yield of 152.52μmol g^(−1)was achieved by directly exposing the photocatalytic reaction of TEPT-Zn in an outdoor environment for 3 h(25-28℃,52.3±7.9mWcm^(−2)).This work provides an avenue for the continued development of advanced polymers toward gas-phase photoconversion of CO_(2)from air.

关键词： air atmosphere artificial leaf CO_(2)photoreduction conjugated microporous polymers metal-salen

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Recent Advances for the Synthesis and Applications of 2-Dimensional Ternary Layered Materials

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Research 2023年第3期6卷 521-545页

作者： Jing Peng Zheng-jie Chen Baofu Ding Hui-Ming Cheng Faculty of Materials Science and Energy Engineering/Institute of Technology for Carbon Neutrality Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Shenzhen Key Laboratory of Energy Materials for Carbon Neutrality Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Shenyang National Laboratory for Materials Science Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China

Layered materials with unique structures and symmetries have attracted tremendous interest for constructing 2-dimensional(2D)*** weak interlayer interaction renders them to be readily isolated into various ultrathin nanosheets with exotic properties and diverse *** order to enrich the library of 2D materials,extensive progress has been made in the field of ternary layered ***,many brand-new materials are derived,which greatly extend the members of 2D *** this review,we emphasize the recent progress made in synthesis and exploration of ternary layered *** first classify them in terms of stoichiometric ratio and summarize their difference in interlayer interaction,which is of great importance to produce corresponding 2D *** compositional and structural characteristics of resultant 2D ternary materials are then discussed so as to realize desired structures and *** a new family of 2D materials,we overview the layer-dependent properties and related applications in the fields of electronics,optoelectronics,and energy storage and *** review finally provides a perspective for this rapidly developing field.

关键词： materials properties field

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Enhancement of Containerization-based Cloud Computing Performance using Hybrid Metaheuristic Optimization Algorithm: A Review 3

Enhancement of Containerization-based Cloud Computing Perfor...

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3rd International Conference on Electronics and Renewable Systems, ICEARS 2025

作者： Ramasamy, G. Kamalakkannan, S. Vels Institute of Science Technology & Advanced Studies Department of Computer Science School of Computing Sciences Pallavaram Chennai India Vels Institute of Science Technology & Advanced Studies Department of Information Technology School of Computing Sciences Pallavaram Chennai India

ISBN: (纸本)9798331509675

Container-based virtualisation has become a cornerstone of Cloud Computing (CC) due to its lightweight and scalable properties when compared to traditional virtual machines. However, it is still difficult to optimising resource allocation in containerised systems, and current approaches frequently fall short in addressing problems like high computational costs, scalability, cold-start scenarios, and Graphics Processing Unit (GPU) management. Container resource allocation is critical for effectively managing computing workloads in cloud settings, enabling scalability, performance optimization, and cost effectiveness. It is extensively used in a various industry, including e-commerce, healthcare, and finance, where dynamic workloads call for efficient resource management. Traditional resource allocation techniques, while their importance, frequently face difficulties such as unequal load distribution and resource underutilization. To address these constraints, this paper suggests a hybrid metaheuristic optimization algorithm that addresses limitations such as network distance, execution time, and migration costs to provide balanced load distribution. This study attempts to analyse the efficiency, time consumption and latency of resource allocation in dynamic cloud systems by addressing existing limitations. © 2025 IEEE.

关键词： Cloud platforms

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Universal machine learning potential accelerates atomistic modeling of materials

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Journal of Energy Chemistry 2023年第8期83卷 1-2,I0002页

作者： Zhongheng Fu Dawei Zhang Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and TechnologyUniversity of Science and Technology Beijing.Beijing 100083China National Materials Corrosion and Protection Data Center University of Science and Technology BeijingBeijing 100083China

With the rapid development of computer techniques,atomistic modeling is playing an increasingly important role in understanding the structure-activity relationship of *** dynamics (MD) is a computational simulation approach to predicting the structural evolution of an atomic system over time,widely used to understand physical and chemical phenomena including phase transition,diffusion,crystallization,and reaction [1].

关键词： Machinelearning Atomisticmodeling Neural networkpotential Solid-statematerials

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