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Enhanced plasticity of spontaneous coagulation cast oxide ceramic green bodies

Journal of Advanced Ceramics 2024年第5期13卷 568-578页

作者： Juanjuan Wang Jin Zhao Junyan Mao Wenlong Liu Haohao Ji jian zhang Shiwei Wang State Key Laboratory of High Performance Ceramics and Superfine Microstructure Shanghai Institute of CeramicsChinese Academy of SciencesShanghai 200050China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China

In the preparation of large-sized ceramics,the use of a green body with relatively high plasticity is crucial to minimize the risk of cracking during *** achieve this goal,glycerol and polyethylene glycol(PEG)were utilized as plasticizers in the shaping of green bodies of oxide ceramics through spontaneous coagulation casting(SCC).This study investigated the effects of plasticizers and particle sizes ranging from the submicron to nanoscale on the slurry viscosity,drying shrinkage of wet gels,and mechanical properties of green *** plasticity of the green bodies was assessed by measuring the impact toughness and flexural stress‒strain *** incorporating an appropriate plasticizer,the peak width of the flexural stress‒strain curve for dried green bodies from particles of different sizes was nearly twice that without plasticizers,and the impact toughness was enhanced by approximately 71%,34%,and 41%when the particle size decreased from the submicron scale to the nanoscale(0.45μm,0.18μm,and 50 nm,respectively).The drilling test revealed that there was nearly no cracking around the holes in the green bodies with *** plasticity mechanism of the green bodies was examined based on ultraviolet–visible(UV–Vis)spectroscopy and scanning electron microscopy(SEM).It was discovered that plasticizers might mitigate the brittleness of green bodies by adjusting the interactions between molecules and modifying the gel network properly.

关键词： green body plasticity plasticizer particle size impact toughness stress-strain curve

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Programmable repulsive potential for tight-binding from Chen-Möbius inversion theorem

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Science china(Physics,Mechanics & Astronomy) 2024年第1期67卷 71-83页

作者： jian-Gao Li Jin-Kun Tang Hong-Quan Song Gotthard Seifert Dong-Bo zhang College of Nuclear Science and Technology Beijing Normal UniversityBeijing 100875China Department of Physics Beijing Normal UniversityBeijing 100875China College of Physics and Telecommunication Engineering Zhoukou Normal UniversityZhoukou 466001China Theoretische Chemie Technische Universität DresdenDresden D-01062Germany

An accurate total energy calculation is essential in materials *** date,many tight-binding(TB)approaches based on parameterized hopping can produce electronic structures comparable to those obtained using first-principles ***,TB approaches still have limited applicability for determining material properties derived from the total *** is,the predictive power of the TB total energy is impaired by an inaccurate evaluation of the repulsive *** complexity associated with the parametrization of TB repulsive potentials is the weak link in this *** this study,we propose a new method for obtaining the pairwise TB repulsive potential for crystalline materials by employing the Chen-Möbius inversion *** show that the TB-based phonon dispersions,calculated using the resulting repulsive potential,compare well with those obtained by first-principles calculations for various systems,including covalent and ionic bulk materials and twodimensional *** present approach only requires the first-principles total energy and TB electronic band energy as input and does not involve any *** striking feature enables us to generate repulsive potentials programmatically.

关键词： tight binding first-principles calculation total energy repulsive potential phonon dispersion

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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

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Proposing a machine learning approach to analyze and predict basic high-temperature properties of iron ore fines and its factors

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Journal of Iron and Steel Research(International) 2024年第5期31卷 1082-1094页

作者： Qing-ke Sun Yao-zu Wang jian-liang zhang Zheng-jian Liu Le-le Niu Chang-dong Shan Yun-fei Ma Institute of Artificial Intelligence University of Science and Technology BeijingBeijing100083China school of Intelligence Science and Technology University of Science and Technology BeijingBeijing100083China school of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing100083China

The basic high-temperature properties of iron ore play a crucial role in optimizing sintering and ore blending,but the testing process for these properties is complex and has significant lag time,which cannot meet the actual needs of ore blending.A prediction model for the basic high-temperature properties of iron ore fines was thus proposed based on a combination of machine learning algorithms and genetic ***,the prediction accuracy of different machine learning models for the basic high-temperature properties of iron ore fines was ***,a random forest model optimized by genetic algorithms was built,further improving the prediction accuracy of the *** test results show that the random forest model optimized by genetic algorithms has the highest prediction accuracy for the lowest assimilation temperature and liquid phase fluidity of iron ore,with a determination coefficient of 0.903 for the lowest assimilation temperature and 0.92. for the liquid phase fluidity after *** trained model meets the fluctuation requirements of on-site testing and has been successfully applied to actual production on site.

关键词： Iron ore Basic high-temperature property Machine learning Random forest Genetic algorithm

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Online Consensus Control of Nonlinear Affine Systems From Disturbed Data

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 551-553页

作者： Yifei Li Wenjie Liu jian Sun Chen Chen Jia zhang Gang Wang National Key Laborary of Autonomous Intelligent Unmanned Systems Beijing Institute of TechnologyBeijing 100081 beijing Institute of Technology Chongqing Innovation Center Chongqing 401120China

Dear Editor,In this letter, we introduce a novel online distributed data-driven robust control approach for learning controllers of unknown nonlinear multi-agent systems(MASs) using state-dependent representations.

关键词： agent online Online

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Species recognition and the divergences in the chemical and ultrasonic signals between two coexisting Rattus species

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Current Zoology 2024年第4期70卷 531-538页

作者： Wei-Chao Wang Zhi-Ming Li Yi Chen Jin-Hua zhang jian-Xu zhang Yao-Hua zhang The State Key Laboratory of Integrated Management of Pest Insects and Rodents Institute of ZoologyChinese Academy of SciencesBeijing 100101China CAs Center for Excellence in Biotic Interactions University of Chinese Academy of SciencesBeijingChina

The ability to recognize and differentiate between conspecifics and heterospecifics as well as their signals is critical for the coexistence of closely related *** the genus Rattus,species are morphologically similar and multiple species often ***,we investigated the interspecific recognition and signal differentiation of two sympatric rat species,the brown rat(Rattus norvegicus,RN)and the Asian house rat(Rattus tanezumi,RT).In a two-way choice test,both RN and RT females showed a preference for conspecific male rats to heterospecific *** females showed a significant preference for accessible urine of males of same species to those of other species,but not for the inaccessi-ble *** the other hand,there were significant differences in the structural characteristics of the ultrasonic vocalization emitted by males of these two rat *** dodecyl sulphate-polyacrylamide gel electrophoresis(SDS-PAGE)and isoelectric focusing electrophoresis unveiled that major urinary proteins(MUPs)in voided urine were more highly expressed in RN males versus RT *** interspecific dif-ferences of urinary volatile compounds were also *** conclusion,female rats had the ability to distinguish between males of either species.

关键词： Asian house rats brown rats closely related species pheromones ultrasonic vocalization.

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Cofitness network connectivity determines a fuzzy essential zone in open bacterial pangenome

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mLife 2024年第2期3卷 277-290页

作者： Pan zhang Biliang zhang Yuan-Yuan Ji {2. Jiao Ziding zhang Chang-Fu Tian State Key Laboratory of Plant Environmental Resilience and College of Biological SciencesChina Agricultural UniversityBeijingChina MOA Key Laboratory of Soil Microbiology and Rhizobium Research CenterChina Agricultural UniversityBeijingChina Shenzhen Institute of Synthetic Biology Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenChina State Key Laboratory of Livestock and Poultry Biotechnology Breeding and College of Biological SciencesChina Agricultural UniversityBeijingChina

Most in silico evolutionary studies commonly assumed that core genes are essential for cellular function,while accessory genes are dispensable,particularly in nutrient-rich ***,this assumption is seldom tested genetically within the pangenome *** this study,we conducted a robust pangenomic Tn-seq analysis of fitness genes in a nutrient-rich medium for Sinorhizobium strains with a canonical open *** evaluate the robustness of fitness category assignment,Tn-seq data for three independent mutant libraries per strain were analyzed by three methods,which indicates that the Hidden Markov Model(HMM)-based method is most robust to variations between mutant libraries and not sensitive to data size,outperforming the Bayesian and Monte Carlo simulation-based ***,the HMM method was used to classify the fitness *** genes,categorized as essential(ES),advantage(GA),and disadvantage(GD)genes for growth,are enriched in core genes,while nonessential genes(NE)are over-represented in accessory *** ES/GA genes showed a lower fitness effect than core ES/GA *** degrees in the cofitness network decrease in the order of ES,GD,and GA/*** addition to accessory genes,1599 out of 32.4 core genes display differential essentiality across test *** the pangenome core,both shared quasi-essential(ES and GA)and strain-dependent fitness genes are enriched in similar functional *** analysis demonstrates a considerable fuzzy essential zone determined by cofitness connectivity degrees in Sinorhizobium pangenome and highlights the power of the cofitness network in understanding the genetic basis of ever-increasing prokaryotic pangenome data.

关键词： cofitnessnetwork pangenome Tn-seq

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Aero-Hydro-Elastic-Servo Modeling and Dynamic Response Analysis of A Monopile Offshore Wind Turbine Under Different Operating Scenarios

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china Ocean Engineering 2024年第3期38卷 379-393页

作者： XIE Shuang-yi GAO jian LI Yong-ran jianG Shu-xin {2. Cheng-lin HE Jiao College of Mechanical Engineering Chongqing University of TechnologyChongqing 400044China beijing Institute of Precision Mechatronics and Controls Beijing 100076China College of Mechanical and Vehicle Engineering Chongqing UniversityChongqing 400044China Fishery Machinery and Instrument Research Institute Chinese Academy of Fishery SciencesShanghai 200092China school of Mechanical and Power Engineering Chongqing University of Science&TechnologyChongqing 401331China

This paper constructs a coupled aero-hydro-elastic-servo simulation framework for a monopile offshore wind turbine(OWT).In this framework,a detailed multi-body dynamics model of the monopile OWT including the gearbox,blades,tower and other components(nacelle,hub,bedplate,etc.)has been explicitly *** effects of pile−soil interaction,controller and operational conditions on the turbine dynamic responses are studied systematically in time domain and frequency *** results show that(1)a comprehensive drivetrain model has the capability to provide a more precise representation of the complex dynamic characteristics exhibited by drivetrain components,which can be used as the basis for further study on the dynamic characteristics of the drivetrain.(2.The pile−soil interaction can influence the wind turbine dynamic responses,particularly under the parked condition.(3)The effect of the pile−soil interaction on tower responses is more significant than that on blade responses.(4)The use of the controller can substantially affect the rotor characteristics,which in turn influences the turbine dynamic responses.(5)The tower and blade displacements under the operational condition are much larger than those under the parked *** model and methodology presented in this study demonstrate potential for examining complex dynamic behaviors of the monopile *** ensure accuracy and precision,it is imperative to construct a detailed model of the wind turbine system,while also taking into account simulation efficiency.

关键词： offshore wind turbine(OWT) pile−soil interaction dynamic response parked condition operating condition

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Nano-alumina@cellulose-coated separators with the reinforcedconcrete-like structure for high-safety lithium-ion batteries

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Chinese Journal of Chemical Engineering 2024年第4期68卷 83-93页

作者： Zhihao Yang Li Chen jian Xue Miaomiao Su Fangdan zhang Liangxin Ding Suqing Wang Haihui Wang Guangdong Provincial Key Lab of Green Chemical Product Technology School of Chemistry and Chemical EngineeringSouth China University of TechnologyGuangzhou 510640China beijing Key Laboratory of Membrane Materials and Engineering Department of Chemical EngineeringTsinghua UniversityBeijing 100084China

Separators play a critical role in the safety and performance of lithium-ion ***,commercial polyolefin separators are limited by their poor affinity with electrolytes and low melting *** this work,we constructed a reinforced-concrete-like structure by homogeneously dispersing nano-Al_(2.O_(3) and cellulose on the separators to improve their stability and *** this reinforcedconcrete-like structure,the cellulose is a reinforcing mesh,and the nano-Al_(2.O_(3) acts as concrete to support the *** constructing the reinforced-concrete-like structure,the separators exhibit good stability even at 2.0℃(thermal shrinkage of 0.3%),enhanced tensile strain(tensile stress of 133.4 MPa and tensile strains of 62.),and better electrolyte wettability(a contact angle of 6.5°).Combining these advantages,the cells with nano-Al_(2.O_(3)@cellulose-coated separators exhibit stable cycling performance and good rate ***,the construction of the reinforced-concretelike structure is a promising technology to promote the application of lithium-ion batteries in extreme environments.

关键词： Alumina Nanomaterials Lithium-ion batteries Membranes Cellulose Reinforced-concrete-like structure

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Safety control strategy of spinal lamina cutting based on force and cutting depth signals

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 894-902页

作者： jian zhang Yonghong zhang Shanshan Liu Xuquan Ji Sizhuo Liu Zhuofu Li Baoduo Geng Weishi Li Tianmiao Wang school of Mechanical Engineering and Automation Beihang UniversityBeijingChina beijing Zoezen Robot Co.Ltd. BeijingChina Department of Orthopaedics Peking University Third HospitalBeijingChina Engineering Research Center of Bone and Joint Precision Medicine Ministry of EducationBeijingChina beijing Key Laboratory of Spinal Disease Research BeijingChina school of Biological Science and Medical Engineering Beihang UniversityBeijingChina Department of Biology Kenyon CollegeGambierOhioUSA

Laminectomy is one of the most common posterior spinal operations. Since the lamina is adjacent to important tissues such as nerves, once damaged, it can cause serious com-plications and even lead to paralysis. In order to prevent the above injuries and com-plications, ultrasonic bone scalpel and surgical robots have been introduced into spinal laminectomy, and many scholars have studied the recognition method of the bone tissue status. Currently, almost all methods to achieve recognition of bone tissue are based on sensor signals collected by high‐precision sensors installed at the end of surgical robots. However, the previous methods could not accurately identify the state of spinal bone tissue. Innovatively, the identification of bone tissue status was regarded as a time series classification task, and the classification algorithm LSTM‐FCN was used to process fusion signals composed of force and cutting depth signals, thus achieving an accurate classi-fication of the lamina bone tissue status. In addition, it was verified that the accuracy of the proposed method could reach 98.85% in identifying the state of porcine spinal laminectomy. And the maximum penetration distance can be controlled within 0.6 mm, which is safe and can be used in practice.

关键词： artificial neural network intelligent robots robotics surgery

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