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Hierarchically Micro/Nanostructured Current Collectors Induced by Ultrafast Femtosecond Laser Strategy for High-Performance Lithium-ion Batteries

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Energy & Environmental Materials 2022年第3期5卷 969-976页

作者： Yaya Wang Zexu Zhao Jiang Zhong Tao Wang Lei Wang Hanjiao Xu Jinhui Cao Jinhao Li Guanhua Zhang Huilong Fei Jian Zhu State Key Laboratory for Chemo/Biosensing and Chemometrics College of Chemistry and Chemical EngineeringHunan Key Laboratory of TwoDimensional MaterialsEngineering Research Center of Advanced CatalysisMinistry of EducationHunan UniversityChangsha 410082China State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan Provincial Key Laboratory of Intelligent Laser ManufacturingHunan UniversityChangsha 410082China College of Mechanical and Vehicle Engineering Hunan UniversityChangsha 410082China

Commercial Cu and Al current collectors for lithium-ion batteries(LIBs)possess high electrical conductivity,suitable chemical and electrochemical ***,the relatively flat surface of traditional current collectors causes weak bonding strength and poor electrochemical contact between current collectors and electrode materials,resulting in potential detachment of active materials and rapid capacity degradation during extended ***,we report an ultrafast femtosecond laser strategy to manufacture hierarchical micro/nanostructures on commercial Al and Cu foils as current collectors for high-performance *** hierarchically micro/nanostructured current collectors(HMNCCs)with high surface area and roughness offer strong adhesion to active materials,fast electronic delivery of entire electrodes,significantly improving reversible capacities and cyclic stability of HMNCCs based ***,LiNi_(0.5)Co_(0.2)Mn_(0.3)O_(2)(NCM523)cathode with Al HMNCC generated a high reversible capacity after 200 cycles(25%higher than that of cathode with Al CC).Besides,graphite anode with Cu HMNCC also maintained prominent reversible capacity even after 600 ***,the full cell assembled by graphite anode with Cu HMNCC and NCM523 cathode with Al HMNCC achieved high reversible capacity and remarkable cycling stability under industrial-grade mass *** study provides promising candidate for achieving high-performance LIBs current collectors.

关键词： currentcollectors femtosecondlaserstrategy hierarchical micro/nanostructures high rate performance lithium-ion battery

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Dual-Domain deep prior guided sparse-view CT reconstruction with multi-scale fusion attention

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Scientific Reports 2025年第1期15卷 1-20页

作者： Wu, Jia Lin, Jinzhao Jiang, Xiaoming Zheng, Wei Zhong, Lisha Pang, Yu Meng, Hongying Li, Zhangyong School of Communications and Information Engineering Chongqing University of Posts and Telecommunications Chongqing 400065 China School of Medical Information and Engineering Southwest Medical University Luzhou 646000 China Chongqing Engineering Research Center of Medical Electronics and Information Technology Chongqing University of Posts and Telecommunications Chongqing 400065 China Key Laboratory of Intelligent Computing for Advanced Manufacturing Chongqing University of Posts and Telecommunications Chongqing 400065 China School of Optoelectronic Engineering Chongqing University of Posts and Telecommunications Chongqing China Department of Electronic and Electrical Engineering College of Engineering Design and Physical Sciences Brunel University London Uxbridge UB8 3PH United Kingdom

Sparse-view CT reconstruction is a challenging ill-posed inverse problem, where insufficient projection data leads to degraded image quality with increased noise and artifacts. Recent deep learning approaches have shown promising results in CT reconstruction. However, existing methods often neglect projection data constraints and rely heavily on convolutional neural networks, resulting in limited feature extraction capabilities and inadequate adaptability. To address these limitations, we propose a Dual-domain deep Prior-guided Multi-scale fusion Attention (DPMA) model for sparse-view CT reconstruction, aiming to enhance reconstruction accuracy while ensuring data consistency and stability. First, we establish a residual regularization strategy that applies constraints on the difference between the prior image and target image, effectively integrating deep learning-based priors with model-based optimization. Second, we develop a multi-scale fusion attention mechanism that employs parallel pathways to simultaneously model global context, regional dependencies, and local details in a unified framework. Third, we incorporate a physics-informed consistency module based on range-null space decomposition to ensure adherence to projection data constraints. Experimental results demonstrate that DPMA achieves improved reconstruction quality compared to existing approaches, particularly in noise suppression, artifact reduction, and fine detail preservation. © The Author(s) 2025.

关键词： Deep prior Model-based optimization Multi-scale fusion attention Physics-informed consistency Sparse-view CT reconstruction

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The Temporal Structural Pattern in Scientific Collaborative Behavior from the Perspective of Complex Network 23rd

The Temporal Structural Pattern in Scientific Collaborative...

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23rd International Symposium on Knowledge and Systems Sciences, KSS 2024

作者： Zholdoshbaeva, Elina Zhang, Shuang Liu, Feifan Xia, Haoxiang Institute of Systems Engineering Dalian University of Technology No. 2 Linggong Road Liaoning Dalian116024 China Center for Big Data and Intelligent Decision-Making Dalian University of Technology Linggong Road Liaoning Dalian116024 China School of Business East China University of Science and Technology 130 Meilong Road Xuhui District Shanghai200237 China Institute for Advanced Intelligence Dalian University of Technology Linggong Road Liaoning Dalian116024 China Key Laboratory of Social Computing and Cognitive Intelligence Ministry of Education of China Linggong Road Liaoning Dalian116024 China

ISBN: (纸本)9789819601776

The rapid advancement of science has underscored the importance of collaboration among scientists. While many studies have explored the structure of collaboration networks, there is a lack of comprehensive quantitative research on the temporal patterns of these collaborations. This study addresses this gap by analyzing temporal scientific collaboration networks in physics, spanning from 1960 to 2021, using complex network theories and methods. By constructing five-year temporal collaborative networks and employing metrics such as network diameter, shortest path, and clustering coefficient, this research reveals an increase in connectivity and small-world characteristics over time. Additionally, community detection highlights a shift towards specialized collaboration patterns and increased cross-community interactions. The study also uncovers growing centrality and social stratification within the research system, with the "rich club" phenomenon indicating strong and dynamic collaborations among highly connected scientists. Temporal analysis shows that while ultra-high connectivity scientists engage in fluctuating relationships, medium-high connectivity scientists maintain more stable collaborations. These findings provide insights into the evolution of collaborative behaviors and inform science policy. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Collaborative learning

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Analysis of Hydrocarbon Mixture Performance of a Dual-Channel Swirl Engine

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Journal of Thermal Science 2020年第6期29卷 1391-1397页

作者： YUAN Wenhua HUANG Qilin FU Jun LIAO Jingjing LI Yu HE Yong ZHANG Zengfeng MA Yi School of Mechanical and Energy Engineering Shaoyang UniversityShaoyang 422004China State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan UniversityChangsha 410082China Key Laboratory of Hunan Province for Efficient Power System and Intelligent Manufacturing Shaoyang UniversityShaoyang 422000China

In order to understand and improve the oil and gas mixing performance of a dual-channel vortex chamber diesel engine,the BH175F dual-channel vortex chamber combustion system was used as the research foundation,and the oil-gas mixture process of the combustion system was numerically *** analyzing the cylinder temperature,cylinder pressure,mixing process and combustion process of the combustion system,the mixture performance of the combustion system was *** indicated that:The mixture of the compression Top Dead Center(TDC)started to enter the main combustion chamber through the start-up hole;when the piston reached 4°After Top Dead Center(ATDC),the mixture started to enter the main combustion chamber through the connecting channels A and B,and the high-concentration mixture entered the main combustion from the start-up hole;when the piston continued running down to 20°and 25°ATDC,it could be seen that the main combustion chamber mixture was already relatively uniform;besides,when the equivalence ratio was between 0.8 and 1,the air-ftiel mixture was unevenly distributed in the main combustion *** provides guidance for further improvement of the combustion system.

关键词： gas mixing performance dual-channel vortex chamber combustion system

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Speech Emotion Recognition Based on Image Enhancement 14

Speech Emotion Recognition Based on Image Enhancement

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14th IEEE International Conference on intelligent Systems and Knowledge Engineering, ISKE 2019

作者： Wang, Dongyan Dong, Jing Zhou, Dongsheng Wei, Xiaopeng Zhang, Qiang Ministry of Education Dalian University Key Laboratory of Advanced Design and Intelligent Computing Dalian China Dalian University of Technology School of Computer Science and Technology Dalian China

ISBN: (纸本)9781728123486

The performance of an emotion recognition system is determined by the quality of emotional features. In this paper, we propose a feature optimization algorithm based on image enhancement and present a convolutional recurrent model to realize emotional recognition of natural speech. For three-dimensional (3-D) log-Mel spectrum and 3-D spectrogram features, the fast gamma transformation with an adaptive threshold is adopted for feature enhancement to make full use of the dynamic characteristics of non-stationary speech signals. Meanwhile, the model combining Convolutional Neural Network (CNN) with the rectangular kernels and Long Short-Term Memory (LSTM) is used to complete speech emotion recognition tasks. Experiments are carried out on two public emotional datasets, and results demonstrate the good generalization ability and recognition performance of our proposed model. © 2019 IEEE.

关键词： Image enhancement

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Speech Emotion Recognition using Channel Attention Mechanism 4

Speech Emotion Recognition using Channel Attention Mechanism

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4th International Conference on Computer Engineering and Application, ICCEA 2023

作者： Zhu, Ruifeng Sun, Caixia Wei, Xiaopeng Zhao, Lasheng Dalian University Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian China School of Computer Science and Technology Dalian University of Technology Dalian China

ISBN: (纸本)9798350347548

In order to improve the accuracy of speech emotion recognition, this paper proposes a speech emotion recognition method based on the channel attention mechanism. Firstly, Mel Frequency Ceptral Coefficient(MFCC), speech spectrograms and spectral envelopes are selected as the initial input features;then, multiple depth network models are used to extract feature maps from different angles in parallel;then, weights are assigned and fused to the feature maps output from each sub-depth network model by the channel attention mechanism;finally, the fused feature maps are used to predict emotion categories. The experimental results on CASIA, Emo-DB, and SAVEE emotion datasets show that the method achieves 88.3%, 85.1%, and 64.5% recognition accuracy, respectively, with better recognition performance compared to recent comparative literature models. © 2023 IEEE.

关键词： Emotion Recognition

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Logic operation model of the complementer based on two-domain DNA strand displacement 1

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12th International Conference on Bio-Inspired computing: Theories and Applications, BIC-TA 2017

作者： Xie, Wendan Zhou, Changjun Lv, Hui Zhang, Qiang Key Laboratory of Advanced Design Intelligent Computing Ministry of Education Dalian University Dalian China School of Computer Science and Technology Dalian University of Technology Dalian China

ISBN: (数字)9789811071799

ISBN: (纸本)9789811071782

DNA strand replacement technology has the advantages of simple operation which makes it becomes a common method of DNA computing. A four bit binary number Complementer based on two-domain DNA strand displacement is proposed in this paper. It implements the function of converting binary code into complement code. Simulation experiment based on Visual DSD software is carried out. The simulation results show the correctness and feasibility of the logic model of the Complementer, and it makes useful exploration for further expanding the application of molecular logic circuit. © Springer Nature Singapore Pte Ltd 2017.

关键词： Timing circuits

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Motion key-frames extraction based on amplitude of distance characteristic curve

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International Journal of Computational Intelligence Systems 2014年第3期7卷 506-514页

作者： Zhang, Qiang Xue, Xiang Zhou, Dongsheng Wei, Xiaopeng Key Laboratory of Advanced Design and Intelligent Computing of Ministry of Education Dalian University Dalian China

The key frames extraction technique extracts key postures to describe the original motion sequence, which has been widely used in motion compression, motion retrieval, motion edition and so on. In this paper, we propose a method based on the amplitude of curve to find key frames in a motion captured sequence. First we select a group of joint distance features to represent the motion and adopt the Principal Component Analysis (PCA) method to obtain the one dimension principal component as a features curve which will be used. Then we gain the initial key-frames by extracting the local optimum points in the curve. At last, we get the final key frames by inserting frames based on the amplitude of the curve and merging key frames too close. A number of experimental examples demonstrate that our method is practicable and efficient not only in the visual performance but also in the aspect of the compression ratio and error rate.

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On Simulation for Fuzzy Control on Oxygen Concentration of the Mixed Air Supplied by Breathing Adjuster 34

On Simulation for Fuzzy Control on Oxygen Concentration of t...

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第三十四届中国控制会议

作者： SUN Hao WANG Shou-jun SUN Qing-lin Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronical System The College of Mechanical Engineering Tianjin University of Technology The College of Computer and Control Engineering Nankai University Tianjin Key Laboratory of Intelligent Robotics

ISBN: (纸本)9781467374439

The breathing adjuster is the core component of life support system of an aircraft and it is very important to control the valve to make the breathing adjuster supply the pilot the mixed air with the suitable oxygen concentration. In this paper the mathematical model, which describes the relation between the opening degree of the valve of the breathing adjuster and the flight altitude of the aircraft, is set up through analyzing requirement of aviation physiology and working principles of the breathing adjuster. Then a fuzzy controller is designed to control the opening degree of the valve in order to make the breathing adjuster supply to the pilot the mixed air with suitable oxygen concentration. Finally MATLAB Simulink is employed to verify the feasibility and validity of the fuzzy controlling approach. The results of simulating experiments show that the fuzzy control approach proposed in this paper can make the breathing adjuster supply the mixed air with suitable oxygen concentration to the pilot boarded on an aircraft.

关键词： Breathing adjuster,Oxygen concentration,the opening degree of the valve,Fuzzy control,Simulation

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Linear Multi-Step Prediction and Correction Algorithm of 6-DOF Space Manipulator for Continuous Trajectory Tracking

Linear Multi-Step Prediction and Correction Algorithm of 6-D...

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2014 International Conference on Industrial Engineering and Information Technology

作者： Shuang Liu Qiang Zhang Key Laboratory of Advanced Design and Intelligent Computing Dalian University

In this paper,the generalized Jacobian matrix and the improved Milne-Hamming linear multi-step prediction and correction algorithm are combined for solving the space manipulator trajectory tracking *** of all,controlling end-effector tracks a known trajectory by the method of pseudo inverse of generalized Jacobian ***,due to the accuracy of the solution of this approach inversely with the step-size of numerical integration,we need larger calculation to get more precise *** increase the accuracy in fixed step-size of calculation,Milne-Hamming linear multi-step prediction and correction algorithm is combined with the methods that mentioned ***,we utilize the RungeKutta method to evaluate the first four solutions of MilneHamming algorithm *** don't have enough parameters to initialize the algorithm until step ***,the validity of the algorithm is verified by computer simulation.

关键词： 6-DOF space manipulator,Continuous trajectory tracking,Milne-Hamming linear multi-step algorithm,Runge-Kutta

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