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Tailoring the austenite characteristics via dual nanoparticles to synergistically optimize the strength-ductility in cold rolled medium Mn steel

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Journal of Materials Science & Technology 2024年第2期169卷 158-171页

作者： Qizhe Ye Haokai Dong Qinyi guo Yishuang yu Lijie qiao yu Yan Beijing Advanced Innovation Center for Materials Genome Engineering Corrosion and Protection CenterInstitute for Advanced Materials and TechnologyUniversity of Science and Technology BeijingBeijing 100083China School of Mechanical and Automotive Engineering South China University of TechnologyGuangzhou 510641China School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing 100083China School of Biomedical Engineering Shanghai Jiao Tong UniversityShanghai 200240China

In this work,we proposed a novel Cu/θdual nanoparticles strategy to tailor the austenite characteris-tics of a medium Mn steel via a tempering-annealing process to optimize the mechanical *** explored the effects of Cu-rich particles and cementite precipitated in the tempering process on the austenite reversion during the subsequent annealing *** experiments and numerical simula-tions verified that the austenite inherited from cementite had a finer size and a higher Mn enrichment compared with the austenite originating from the tempered martensite *** addition,quantitative evaluations revealed that the pinning effect exerted by the Cu-rich particles could significantly hinder theα/γinterface migration and the recrystallized grain growth,thereby further refining the final *** contributions from the effects of dual nanoprecipitates on the austenite reversion,the heterogeneous austenite grains inherited from varying nucleation sites ensured the sustained and gradual deformation-induced martensite and twinning ***,the Cu-added steels subjected to a tempering-annealing process achieved synergetic enhancement of the tensile strength from 1055 MPa to 1250 MPa and elongation from 33%to 45%.This strategy may provide new guidance for the development and alloy design of high-performance medium Mn steels.

关键词： Dual nanoparticles Medium Mn steel Tempering-annealing process Austenite reversion Mechanical properties

Ultrathin nanosheets of Mn3O4： A new two-dimensional ferromagnetic material with strong magnetocrystalline anisotropy

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Frontiers of physics 2018年第3期13卷 29-35页

作者： Jun-Chi Wu Xu Peng yu-qiao guo Hao-Dong Zhou Ji-Yin Zhao Ke-Qin Ruan Wang-Sheng Chu Changzheng Wu Hefei National Laboratory for Physical Sciences at the Microscale iChEM (Collaborative Innovation Center of Chemistry for Energy Materials) CAS Center for Excellence in Nanoscience and CAS Key Laboratory of Mechanical Behavior and Design of Materials University of Science and Technology of China Hefei 230026 China National Synchrotron Radiation Laboratory University fff Science and Technology of China Hefei 230026 China

Two-dimensional （2D） materials with robust ferromagnetism have played a key role in realizing next- generation spin-electronic devices, but many challenges remain, especially the lack of intrinsic ferro- magnetic behavior in almost all 2D materials. Here, we highlight ultrathin Mn3O4 nanosheets as a new 2D ferromagnetic material with strong magnetocrystalline anisotropy. Magnetic measurements along the in-plane and out-of-plane directions confirm that the out-of-plane direction is the easy axis. The 2D-confined environment and Rashba-type spin-orbit coupling are thought to be responsible for the magnetocrystaUine anisotropy. The robust ferromagnetism in 2D MnaO4 nanosheets with magne- tocrystalline anisotropy not only paves a new way for realizing the intrinsic ferromagnetic behavior in 2D materials but also provides a novel candidate for building next-generation spin-electronic devices.

关键词： 2D ferromagnetic material topochemical conversion magnetocrystalline anisotropy

ROS-responsive hydrogels with spatiotemporally sequential delivery of antibacterial and anti-inflammatory drugs for the repair of MRSA-infected wounds

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Regenerative Biomaterials 2024年第1期3卷 119-131页

作者： Bowen qiao Jiaxin Wang Lipeng qiao Aziz Maleki Yongping Liang Baolin guo Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research College of StomatologyXi’an Jiaotong UniversityXi’an 710049China State Key Laboratory for Mechanical Behavior of Materials Frontier Institute of Science and TechnologyXi’an Jiaotong UniversityXi’an 710049China Zanjan Pharmaceutical Nanotechnology Research Center(ZPNRC) Zanjan 45139-56184Iran Department of Orthopaedics The First Affiliated Hospital of Xi’an Jiaotong UniversityXi’an 710061People’s Republic of China

For the treatment of MRSA-infected wounds,the spatiotemporally sequential delivery of antibacterial and anti-inflammatory drugs is a promising *** this study,ROS-responsive HA-PBA/PVA(HPA)hydrogel was prepared by phenylborate ester bond cross-linking between hyaluronic acid-grafted 3-amino phenylboronic acid(HA-PBA)and polyvinyl alcohol(PVA)to achieve spatiotemporally controlled release of two kinds of drug to treat MRSA-infected *** hydrophilic antibiotic moxifloxacin(M)was directly loaded in the *** hydrophobic curcumin(Cur)with anti-inflammatory function was first mixed with Pluronic F127(PF)to form Cur-encapsulated PF micelles(Cur-PF),and then loaded into the HPA *** to the different hydrophilic and hydrophobic nature of moxifloxacin and Cur and their different existing forms in the HPA hydrogel,the final HPA/M&Cur-PF hydrogel can achieve different spatiotemporally sequential delivery of the two *** addition,the swelling,degradation,self-healing,antibacterial,anti-inflammatory,antioxidant property,and biocompatibility of hydrogels were ***,in the MRSA-infected mouse skin wound,the hydrogel-treated group showed faster wound closure,less inflammation and more collagen *** experiments further confirmed that the hydrogel promoted better repair by reducing inflammation(TNF-a)and promoting vascular(VEGF)*** conclusion,this HPA/M&CurPF hydrogel that can spatiotemporally sequential deliver antibacterial and anti-inflammatory drugs showed great potential for the repair of MRSA-infected skin wounds.

关键词： MRSA-infected wounds spatiotemporally sequential delivery antibacterial anti-inflammatory

Preparation of crab-shell-based N,O co-doped graded porous carbon for supercapacitors using the confined nanospace deposition

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Waste Disposal and Sustainable Energy 2024年第2期6卷 173-183页

作者： Yiming Li Zhihao yu Mengyan guo Ming Zhang Jian Xiong Yina qiao Rui Zhang Xuebin Lu School of Environmental Science and Engineering Tianjin UniversityTianjin 30000China School of Ecology and Environment Tibet UniversityLhasa 850000China School of Environment and Safety Engineering North University of ChinaTaiyuan 030051China School of Environmental and Municipal Engineering Tianjin Chengjian UniversityTianjin 300384China

Biomass-based carbon materials with hierarchical porous structures have attracted attention for their ability to provide more channels and shorten ion transport ***,we developed a simple method based on confined nanospace ***-ing high-temperature treatment,the mesoporous silica layer wrapped around the outside of the crab shells acted as a closed nanospace and effectively suppressed the severe deformation of the crab shell structure by shrinking *** prepared carbon material has a layered porous structure with abundant and stable N and O co-doping(N 7.32%,O 3.69%).The specific capacitance of the three-electrode system was 134.3 F/g at a current density of 0.5 A/g in a 6 mol/L KOH electrolyte,and the assembled aqueous symmetric supercapacitors exhibited an excellent cycling stability of 98.81%even after 5000 cycles.

关键词： Supercapacitor Confined nanospace deposition Biomass-based carbon materials Crab shell

The competition between Bidens pilosa and Setaria viridis alters soil microbial composition and soil ecological function

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Journal of Integrative Agriculture 2024年第1期23卷 267-282页

作者： qiao Li Jianying guo Han Zhang Mengxin Zhao State Key Laboratory for Biology of Plant Diseases and Insect Pests Institute of Plant ProtectionChinese Academy of Agricultural SciencesBeijing 100193China College of Life Science Yangtze UniversityJingzhou 434025China

Bidens pilosa is recognized as one of the major invasive plants in *** invasion has been associated with significant losses in agriculture,forestry,husbandry,and *** ecosystems play an important role in alien plant *** within the soil act as intermediaries between plants and soil ecological functions,playing a role in regulating soil enzyme activities and nutrient *** the interactions between invasive plants,soil microorganisms,and soil ecological processes is vital for managing and mitigating the impacts of invasive species on the *** this study,we conducted a systematic analysis focusing on *** and Setaria viridis,a common native companion plant in the invaded *** simulate the invasion process of ***,we constructed homogeneous plots consisting of *** and *** grown separately as monocultures,as well as in *** rhizosphere and bulk soils were collected from the alien plant *** and the native plant *** order to focus on the soil ecological functional mechanisms that contribute to the successful invasion of ***,we analyzed the effects of *** on the composition of soil microbial communities and soil ecological *** results showed that the biomass of *** increased by 27.51% and that of *** was significantly reduced by 66.56%.The organic matter contents in the bulk and rhizosphere soils of *** were approximately 1.30 times those in the native plant *** TN and NO_(3)^(-)contents in the rhizosphere soil of *** were 1.30 to 2.71 times those in the native plant *** activities of acid phosphatase,alkaline phosphatase,and urease in the rhizosphere soil of *** were 1.98-2.25 times higher than in the native plant *** high-throughput sequencing of the16S rRNA gene,we found that *** altered the composition of the soil microbial ***,many genera in Actinobacteria and Proteobacteri

关键词： plant invasion Bidens pilosa soil microbial composition soil properties soil enzyme activities

Effect of solidification mode on microstructure evolution and properties of magnesium alloy with long-period stacking ordered phase

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Journal of Iron and Steel Research International 2024年第5期31卷 1127-1138页

作者： Hao Li Hong-mei Chen Xu Zhang Qian-hao Zang Jing Zhang Di Feng Yan-xin qiao yu-hang guo School of Materials Science and Engineering Jiangsu University of Science and TechnologyZhenjiang212100JiangsuChina School of Metallurgy and Materials Engineering Jiangsu University of Science and TechnologySuzhou215600JiangsuChina

The solidification methods of electromagnetic stirring(EMS)and non-electromagnetic stirring were employed to prepare Mg–6Gd–3Y–xZn–0.6Zr(x=1,1.5,2,3)*** evolution of alloy microstructures and the changes in properties were analyzed for different Zn *** has been observed that in alloys without electromagnetic stirring,as the Zn content increases,the alloy structure gradually *** primary second phase transitions from Mg5RE phase to long-period stacking ordered(LPSO)phase,resulting in improved hardness and *** alloys subjected to electromagnetic stirring,there is a relatively higher content of the second phase,primarily consisting of LPSO *** applying electromagnetic stirring,the quantity and the type of LPSO phase in the alloy *** alloy structure becomes more uniform with electromagnetic stirring,resulting in increased hardness and reduced hardness gradients within the *** mechanical properties of alloys with electromagnetic stirring are superior to those without electromagnetic stirring.

关键词： Rare earth magnesium alloy LPSO phase Electromagnetic stirring Casting Property

O_(2) adsorption on Fe_(3)O_(4) (110) surface and effect of gangue element Al doping: combined study of binding experiment and ab initio molecular dynamics

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Journal of Iron and Steel Research International 2024年第4期31卷 810-827页

作者： Zheng-jian Liu Hui-qing Jiang Yao-zu Wang Jian-liang Zhang Hong-mei qiao An-yang Zheng Fang-yu guo School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing 100083China School of Intelligence Science and Technology University of Science and Technology BeijingBeijing 100083China Beijing Shougang Co. Ltd.Qian'an 064404HebeiChina Department of Physics National University of Defense TechnologyChangsha 410128HunanChina

At high temperature,the chemical reaction mechanism at the interface of magnetite and the influence mechanism of gangue element Al on the oxidation performance of magnetite are not *** addition,due to the limitation of existing experimental equipment,it is difficult to clarify the interface reaction mechanism in the oxidation process and the influence mechanism of Al on the surface oxidation reaction of Fe_(3)O_(4) at an atomic scale at high *** surface oxidation reaction mechanism of magnetite and the influence mechanism of Al on the oxidation of magnetite were studied by experiments and AIMD(ab initio molecular dynamics).The experimental results show that the existence of Al_(2)O_(3) will reduce the initial oxidation temperature and comprehensive oxidation performance of *** AIMD results show that aluminum can accelerate the interface reaction rate of Fe_(3)O_(4) in the high-temperature oxidation atmosphere,but the strong Al-O binding ability is not conducive to the transfer of O atoms in the oxidation process.

关键词： Ironmaking Magnetite oxidation Interface reaction Adsorption-Gangue aluminum AIMD

Towards robustness and generalization of point cloud representation:A geometry coding method and a large-scale object-level dataset

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Computational Visual Media 2024年第1期10卷 27-43页

作者： Mingye Xu Zhipeng Zhou Yali Wang yu qiao Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen518000China University of Chinese Academy of Sciences Beijing065001China Shanghai AI Laboratory Shanghai200001China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for SocietyShenzhen518000China Alibaba DAMO Academy Hangzhou242332China

Robustness and generalization are two challenging problems for learning point cloud *** tackle these problems,we first design a novel geometry coding model,which can effectively use an invariant eigengraph to group points with similar geometric information,even when such points are far from each *** also introduce a large-scale point cloud dataset,*** consists of 184 categories and 51,915 synthetic objects,which brings new challenges for point cloud classification,and provides a new benchmark to assess point cloud cross-domain ***,we perform extensive experiments on point cloud classification,using ModelNet40,ScanObjectNN,and our PCNet184,and segmentation,using ShapeNetPart and *** method achieves comparable performance to state-of-the-art methods on these datasets,for both supervised and unsupervised *** and our dataset are available at https://***/MingyeXu/PCNet184.

关键词： geometry coding self-supervised learning point cloud classification segmentation 3D analysis

A hybrid attention model based on first-order statistical features for smoke recognition

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Science China(Technological Sciences) 2024年第3期67卷 809-822页

作者： guo Nan LIU JiaHui DI KeXin GU Ke qiao JunFei Beijing Laboratory of Smart Environmental Protection Beijing Key Laboratory of Computational Intelligence and Intelligent SystemBeijing Artificial Intelligence InstituteBeijing 100124China Faculty of Information Technology Beijing University of TechnologyBeijing 100124China

Smoke and fire recognition are of great importance on foreseeing fire disasters and preventing environmental pollution by monitoring the burning process of objects(e.g., straw, fuels). However, since fire images suffer from problems like the variability of the features, complexity of scenarios, interference from background, changeable weather conditions as well as image quality problems, identifying smoke and fire accurately and promptly from a given image still remains a substantial challenge. Automatically learning the features of smoke images by CNNs has improved the target recognition ability compared to traditional approaches,nonetheless, convolutions and pooling operations in CNNs may cause severe information loss which may lead to *** tackle the above problems, this paper proposed a hybrid attention model based on the characteristics of smoke images. This model adopted multiple optimized attention mechanism in several stages to quickly and precisely capture the important features,achieving state-of-the-art performance on smoke and fire recognition in terms of accuracy and speed. Our proposed module mainly consists of two stages: pooling and attention. In the first stage, we conducted several newly proposed first-order pooling methods. Through traversing the data space in a larger scope, features are better reserved, thus constructing a more intact feature space of smoke and fire in an image. In the second stage, feature maps are aggregated together to perform channel and spatial attention. The channel and spatial dependencies allow us to quickly catch the important features presented in an image. By fully exploring the feature space and prominent salient features, characteristics of smoke and fire are better presented so as to obtain better smoke and fire detection results. Experiments have been conducted on public smoke detection dataset and new proposed fine-grained smoke and fire detection database. Experimental results revealed that the propose

关键词： hybrid attention first-order pooling smoke and fire detection deep convolutional neural networks