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14th International Conference on Genetic and Evolutionary Computing, ICGEC 2021

作者： Li, Xiang Yang, Wen Wang, Huan Chang, Xiaopeng Dang, Rongxin Wang, Dejun Key Laboratory of Materials Design and Quantum Simulation College of Science Changchun University Changchun130022 China Key Laboratory of Advanced Structural Materials Ministry of Education & Advanced Institute of Materials Science Changchun University of Technology Changchun130012 China

ISBN: (纸本)9789811684296

In this paper, a strategy using genetic algorithm to optimize the charging process of lithium-ion batteries is proposed, which is based on the coupling of computer optimization algorithm and battery charging model. Visual Studio 2010 is used for programming, and COMSOL Multiphysics 5.5 is used to establish an electrochemical model of the battery to simulate various processes in the battery to verify the reliability and accuracy of the design algorithm. The genetic algorithm can be used to find the suitable charging current, and the optimization can be picked in a large number of databases by using the optimal strategy to reduce the time complexity. By comparing the battery's discharge curve and SOC result, it is found that the battery using genetic algorithm and intelligent optimization is better than that using the traditional constant current and constant voltage charging algorithm in charging time, cycle life, charging efficiency and other performance indicators. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Genetic algorithms

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A Staged Strategy for MMC Offshore Converter Station Under Asymmetric AC Fault 7

A Staged Strategy for MMC Offshore Converter Station Under A...

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7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023

作者： Li, Fangyuan Kou, Longze Zhou, Jiapei Hao, Jie State Key Laboratory of Advanced Power Transmission Technology Beijing China Beijing Key Laboratory of Dc Grid Technology & Simulation State Grid Smart Grid Research Institute CO.LTD. Beijing China State Grid Shanxi Electric Power Company Electric Power Science Research Institute Shanxi China

ISBN: (纸本)9798350345094

At present, offshore wind power has become an important development direction for wind power generation. Offshore wind farms often use high-voltage direct current transmission technology with modular multi-level voltage source converters (MMC-HVDC) to transmit electricity to the grid. However, the fault response characteristics of offshore wind farms through the MMC-HVDC transmission system are different from those through AC transmission way. Therefore, it is significant that studying the fault ride through (FRT) technology of offshore wind farms through the MMC-HVDC grid connection system for practical engineering. An electromagnetic transient simulation model for an offshore wind farm composed of a direct drive permanent magnet synchronous generator (D-PMSG) connected to the grid is established through MMC-HVDC transmission technology. The mechanism and suppression strategy of overvoltage generation in the transmission network are provided during the fault clearance and recovery phase of the offshore wind farm HVDC transmission system under AC asymmetric faults. A two-stage improved control strategy for MMC-HVDC offshore converter station in response to asymmetric faults has been proposed, which is beneficial for the joint system to quickly recover from the post fault system voltage and suppress the overvoltage risk during the fault clearing phase. Finally, the proposed strategy is validated based on a domestic ± 500kV project in China, demonstrating its effectiveness. © 2023 IEEE.

关键词： Offshore wind farms

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Multi-View Subspace Clustering Via Simultaneously Cycle Projection and Similarity Learning

Multi-View Subspace Clustering Via Simultaneously Cycle Proj...

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International Conference on Wavelet Active Media technology and Information Processing (ICWAMTIP)

作者： Xiang Tao Liu Jie Qiao Wenshen Xiao Siying Ye Mao National Key Laboratory of Complex Aviation System Simulation Southwest China Institute of Electronic Technology Chengdu China University of Electronic Science and Technology of China Chengdu China

ISBN: (数字)9798331519254

ISBN: (纸本)9798331519261

At present, most of the existing methods combine the data from different views mechanically to obtain the latent subspace with complementary information, which not only fails to make full use of the data information from specific perspectives but also brings redundancy. Therefore, we propose a novel multi-view subspace clustering method. It utilizes cycle projection to obtain a subspace construction model. At the same time, by learning the global structure and local manifold structure of this subspace while assigning learnable weights to different views, the consensus information among views and specific information from different views are captured according to the importance of different views. In this way, our method effectively reduces the original noise and redundancy, and further carries out the improvement of complementarity and consistency among views. The proposed method is optimized by using the Augmented Lagrangian Multiplier with Alternating Direction Minimization (ALM- ADM) algorithm. Experiment results on benchmark datasets confirm the effectiveness of our method.

关键词： Manifolds Technological innovation Clustering methods Redundancy Noise Clustering algorithms Information processing Media Minimization Similarity learning

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Superacid assisted high-throughput production and solution-processing of pristine two-dimensional materials

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Materials Today 2025年 86卷 228-237页

作者： Deng, Qixuan Ma, Jiabin Liu, Minsu Zhou, Yicong Ding, Siyuan Zhan, Ke Zhu, Yuan Xiong, Zhiyuan Su, Yang Yu, Kuang Cheng, Hui-Ming Qiu, Ling Shenzhen Geim Graphene Center Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen518055 China Laboratory for Simulation and Modelling of Particulate Systems Department of Chemical Engineering Department of Materials Science and Engineering Monash University VIC3800 Australia Monash Suzhou Research Institute Monash University Suzhou Suzhou SIP215000 China School of Microelectronics Southern University of Science and Technology Shenzhen518055 China School of Light Industry and Engineering South China University of Technology Guangzhou510640 China Shenzhen Key Lab of Energy Materials for Carbon Neutrality Shenzhen Institute of Advanced Technology Chinese Academy of Sciences 1068 Xueyuan Road Shenzhen518055 China Faculty of Materials Science and Energy Engineering Shenzhen University of Advanced Technology 291 Louming Road Shenzhen518107 China

Pristine two-dimensional (2D) materials have a multitude of interesting properties, promising a broad spectrum of applications. However, their poor affinity for common solvents and tendency to aggregate impede their effective exfoliation and solution-processing into various structures, such as fibers and membranes, thus limiting their practical use. We report a high-efficiency method for producing pristine 2D nanosheets by direct high-speed shearing exfoliation in trifluoromethanesulfonic acid (TfOH). Typically, this method produces hexagonal boron nitride nanosheets (BNNSs) with an unprecedented throughput of 38.8 mg mL-1h−1. The effective exfoliation is attributed to the strong binding affinity, large dipole moment and steric repulsion of TfOH, which collectively introduce layer edge distortion in hexagonal boron nitride (hBN), facilitating its exfoliation. The mechanical exfoliation and reversible edge interaction introduce no additional functional groups to the exfoliated BNNSs. The resulting pristine BNNS exhibit remarkable stability in TfOH solutions at ultrahigh concentrations of 200 mg mL−1 for over 28 days. The viscosity of the highly concentrated BNNS/TfOH dispersion can be adjusted, enabling techniques to produce BNNS-based spheres, fibers, and membranes with high thermal conductivity and mechanical strength, suitable for advanced thermal management applications. Room temperature processed BNNS-based spheres exhibit superior thermal conductivity compared to high temperature processed commercially available hBN or Al2O3 spheres. Moreover, TfOH can also be used to assist the efficient production and solution-processing of other 2D nanosheets, including graphene, molybdenum disulfide and tungsten disulfide, enabling the fabrication of high-quality bulk assemblies. © 2025 Elsevier Ltd

关键词： Molybdenum disulfide

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A GNSS Spoofing Detection Method based on Sparse Decomposition Technique

A GNSS Spoofing Detection Method based on Sparse Decompositi...

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2022 IEEE International Conference on Unmanned Systems, ICUS 2022

作者： He, Yuxin Zhuang, Yaqiang Zhuang, Xuebin Lin, Zijian School of System Science and Engineering Sun Yat-sen University Guangzhou China School of Integrated Circuits and Electronics Beijing Institute of Technology Beijing Key Laboratory of Millimeter Wave and Terahertz Technology Beijing China Science and Technology On Complex Aviation Systems Simulation Laboratory Beijing China

ISBN: (数字)9781665484565

ISBN: (纸本)9781665484565

By broadcasting false Global Navigation Satellite System (GNSS) signals, spoofing attacks will induce false position and time fixes within the victim receiver. In this article, we propose a Sparse Decomposition (SD)-based spoofing detection algorithm in the acquisition process, which can be applied in a single-antenna receiver. In the first step, we map the Fast Fourier transform (FFT)-based acquisition result in a two-dimensional matrix, which is a distorted autocorrelation function when the receiver is under spoof attack. In the second step, the distorted function is decomposed into two main autocorrelation function components of different code phases. The corresponding elements of the result vector of the SD are the code-phase values of the spoofed and the authentic signals. Numerical simulation results show that the proposed method can not only outcome spoofing detection result, but provide reliable estimations of the code phase delay of the spoof attack. © 2022 IEEE.

关键词： Fast Fourier transforms

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Satellite Interference Signal Classification Using Improved MLP Model

Satellite Interference Signal Classification Using Improved ...

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2022 IEEE International Conference on Unmanned Systems, ICUS 2022

作者： Xie, Liwei Zhuang, Yaqiang Zhuang, Xuebin Zeng, Xiaohui School of Systems Science and Engineering Sun Yat-Sen University Guangzhou China School of Integrated Circuits and Electronics Beijing Institute of Technology Beijing Key Laboratory of Millimeter Wave and Terahertz Technology Beijing China Science and Technology On Complex Aviation Systems Simulation Laboratory Beijing China

ISBN: (数字)9781665484565

ISBN: (纸本)9781665484565

In response to the existing style of deceptive jamming of Global Position System (GPS) receivers by aerial jammer carriers, a method using improved multi-layer perceptron (MLP) model is proposed to identify and classify interference sources based on the rate of change of satellite incoming angle. The work firstly constructs an airborne GPS interference source localization deployment model, then analyzes and verifies the rationality of this simulation data model, and finally emphasizes the superiority of the proposed method using the classical classification algorithm as a comparison method. The simulation results indicated that the proposed method is capable to identify the corresponding interferers with a greater rate of recognition compared with other method in the built multi-interference source environment, which provides a reference for dealing with the interference identification and classification in the networked GPS interference source deployment environment. © 2022 IEEE.

关键词： Antennas

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Shear induced deformation twinning evolution in thermoelectric InSb

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npj Computational Materials 2021年第1期7卷 1008-1016页

作者： Zhongtao Lu Ben Huang Guodong Li Xiaolian Zhang Qi An Bo Duan Pengcheng Zhai Qingjie Zhang William A.Goddard III Hubei Key Laboratory of Theory and Application of Advanced Materials Mechanics School of ScienceWuhan University of TechnologyWuhanPR China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhanPR China Department of Chemical and Materials Engineering University of Nevada RenoRenoNVUSA Materials and Process Simulation Center California Institute of TechnologyPasadenaCAUSA

Twin boundary(TB)engineering has been widely applied to enhance the strength and plasticity of metals and alloys,but is rarely adopted in thermoelectric(TE)*** previous first-principles results showed that nanotwins can strengthen TE Indium Antimony(InSb)through In–Sb covalent bond rearrangement at the ***,we further show that shear-induced deformation twinning enhances plasticity of *** demonstrate this by employing large-scale molecular dynamics(MD)to follow the shear stress response of flawless single-crystal InSb along various slip *** observed that the maximum shear strain for the (111)[112] slip system can be up to 0.85 due to shear-induced deformation *** attribute this deformation twinning to the“catching bond”involving breaking and re-formation of In–Sb bond in *** finding opens up a strategy to increase the plasticity of TE InSb by deformation twinning,which is expected to be implemented in other isotypicⅢ–V semiconductors with zinc blende structure.

关键词： deformation plasticity Shear

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Accelerating ab initio real-space electronic structure calculations for low-dimensional materials using an atom-sphere grid truncation method

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Physical Review B 2024年第15期110卷 155157页

作者： Lantian Xue Qiang Xu Cheng Ma Wenhui Mi Yanchao Wang Yu Xie Yanming Ma Key Laboratory of Material Simulation Methods & Software of Ministry of Education College of Physics State Key Lab of Superhard Materials College of Physics International Center of Future Science Key Laboratory of Physics and Technology for Advanced Batteries of Ministry of Education College of Physics

In recent decades, the real-space finite-difference implementations of Kohn–Sham density functional theory have exhibited substantial improvements in computational efficiency for large-scale systems. However, the substantial memory consumption arising from the numerous grid points has begun to limit the widespread adoption of this method. In this study, a general method is presented—applicable to both periodic and Dirichlet boundary conditions—to reduce the number of real-space grids. This approach introduces a truncation of the real-space grids based on atomic positions, which reduces memory requirements and enables a more efficient real-space scheme tailored for simulating low-dimensional and porous materials with uneven spatial distributions. By testing the method on zero-dimensional clusters, one-dimensional tubes, two-dimensional clusters adsorbed on graphene, and three-dimensional metal-organic framework materials, a 30–73% reduction in grid points and a 36–71% reduction in computational time per step are observed for simulations with a 2 meV/atom energy difference.

关键词： Electronic structure Density functional theory development First-principles calculations Numerical techniques

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Influence of Nanoceramic Particle Size on the Wear Resistance of Micro-Arc Oxidation Coatings for 2a12 Aluminum Alloy

SSRN

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SSRN 2024年

作者： Li, Wen Cheng, Ming Zhang, Xiaochen Wei, Guoke Aviation Key Laboratory of Science and Technology on Advanced Surface Engineering AVIC Manufacturing Technology Institute Beijing100024 China Science and Technology on Power Beam Processes Laboratory AVIC Manufacturing Technology Institute Beijing100024 China

The 2A12 aluminum alloy, renowned for its exceptional mechanical properties, faces significant limitations in applications involving abrasive environments or frequent contact with other surfaces due to its inadequate wear resistance. This shortcoming substantially reduces the service life of components and escalate maintenance costs, highlighting the urgent need for advanced surface modification techniques. This study meticulously investigates the influence of nanoceramic particle size on the wear resistance of micro-arc oxidation (MAO) coatings, a surface modification method known for forming dense, adherent ceramic layers on aluminum alloys. The systematic experimentation revealed that the incorporation of 150 nm α-Al2O3 nanoparticles into the MAO matrix achieves an optimal dispersion, leading to a substantial enhancement in wear resistance. The sample with 5g/L of 150 nm α-Al2O3 nanoparticles doping in the MAO electrolyte demonstrated the lowest mass loss, underscoring its superior wear resistance. The improved microstructure, enriched with hard ceramic phases such as α-Al2O3 and mullite, plays a pivotal role in withstanding wear. Moreover, this study identified that an optimal balance of surface roughness and coating thickness is essential for achieving enhanced wear resistance. The findings of this research provide a compelling strategy for the design of wear-resistant coatings tailored for high-performance applications across aerospace, automotive, and general engineering industries. By optimizing the particle size and concentration in MAO coatings, this study paves the way for the development of durable materials capable of thriving in demanding environments, thereby extending the service life and reducing maintenance requirements of components. © 2024, The Authors. All rights reserved.

关键词： Wear resistance

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Simultaneously achieving high energy density and responsivity in submicron BaTiO_(3) film capacitors integrated on Si

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Journal of advanced Ceramics 2024年第2期13卷 198-206页

作者： Jun Ouyang Yinxiu Xue Chuanqi Song Meiling Yuan Kun Wang Yuyao Zhao Hongbo Cheng Hanfei Zhu Chao Liu Institute of Advanced Energy Materials and Chemistry School of Chemistry and Chemical EngineeringQilu University of Technology(Shandong Academy of Sciences)Jinan 250353China Key Laboratory of Key Film Materials&Application for Equipment School of Material Sciences and EngineeringXiangtan UniversityXiangtan 411105China School of Materials Science and Engineering Shandong UniversityJinan 250061China Academic Affairs Office Civil Aviation University of ChinaTianjin 300300China China Tobacco Shandong Industrial Co. Ltd.Jinan 250014China

In the research field of energy storage dielectrics,the“responsivity”parameter,defined as the recyclable/recoverable energy density per unit electric field,has become critically important for a comprehensive evaluation of the energy storage capability of a *** this work,high recyclable energy density and responsivity,i.e.,W_(rec)=161.1 J·cm^(-3) and ξ=373.8 J·(kV·m^(2))^(-1),have been simultaneously achieved in a prototype perovskite dielectric,BaTiO_(3),which is integrated on Si at 500℃ in the form of a submicron thick *** ferroelectric film features a multi-scale polar structure consisting of ferroelectric grains with different orientations and inner-grain ferroelastic domains.A LaNiO_(3) buffer layer is used to induce a{001}textured,columnar nanograin microstructure,while an elevated deposition temperature promotes lateral growth of the nanograins(in-plane diameter increases from~10-20 nm at lower temperatures to~30 nm).These preferably oriented and periodically regulated nanograins have resulted in a small remnant polarization and a delayed polarization saturation in the film’s P-E behavior,leading to a high recyclable energy ***,an improved polarizability/dielectric constant of the BaTiO_(3) film has produced a much larger maximum polarization than those deposited at lower temperatures at the same electric field,leading to a record-breaking responsivity for this simple perovskite.

关键词： energy storage energy density responsivity BaTiO_(3) dielectric capacitor Si

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