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Effect of Ni content on the wear behavior of Al-Si-Cu-Mg-Ni/SiC particles composites

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International Journal of Minerals,Metallurgy and Materials 2024年第2期31卷 374-383页

作者： Yanyu Liu Lina Jia Wenbo Wang Zuheng Jin Hu Zhang School of Materials Science and Engineering Beihang UniversityBeijing 100191China Ningbo institute of Technology Beihang UniversityNingbo 315100China qingdao research institute of beihang University Qingdao 266000China research institute for Frontier Science Beihang UniversityBeijing 100191China

In recent years,the addition of Ni has been widely acknowledged to be capable of enhancing the mechanical properties of Al-Si ***,the effect of Ni on the wear behaviors of Al-Si alloys and Al matrix composites,particularly at elevated temperat-ures,remains an understudied *** this study,Al-Si-Cu-Mg-Ni/20wt%SiC particles(SiCp)composites with varying Ni contents were prepared by using a semisolid stir casting *** effect of Ni content on the dry sliding wear behavior of the prepared compos-ites was investigated through sliding tests at 25 and 350℃.Results indicated that theθ-Al_(2)Cu phase gradually diminished and eventually disappeared as the Ni content increased from 0wt%to 3wt%.This change was accompanied by the formation and increase inδ-Al_(3)CuNi andε-Al_(3)Ni phases in *** hardness and ultimate tensile strength of the as-cast composites improved,and the wear rates of the composites decreased from 5.29×10^(−4)to 1.94×10^(−4)mm^(3)/(N∙m)at 25℃and from 20.2×10^(−4)to 7×10^(−4)mm^(3)/(N∙m)at 350℃with the increase in Ni content from 0wt%to 2wt%.The enhancement in performance was due to the presence of strengthening network structures and additional Ni-containing phases in the ***,the wear rate of the 3Ni composite was approximately two times higher than that of the 2Ni composite due to the fracture and debonding of theε-Al_(3)Ni *** wear,delamination wear,and oxidation wear were the predominant wear mechanisms of the investigated composites at 25℃,whereas delamination wear and oxid-ation wear were dominant during sliding at 350℃.

关键词： Al matrix composite microstructure sliding test high temperature wear mechanism

Oscillation of Dzyaloshinskii–Moriya interaction driven by weak electric fields

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Chinese Physics B 2024年第2期33卷 487-491页

作者：陈润泽曹安妮王馨苒柳洋杨洪新赵巍胜 Fert Beijing institute MIIT Key Laboratory of SpintronicsSchool of Integrated Circuit Science and EngineeringBeihang UniversityBeijing 100191China Hefei Innovation research institute Beihang UniversityHefei 230013China beihang-Goertek Joint microelectronics institute Qingdao Research InstituteBeihang UniversityQingdao 266000China National Laboratory of Solid State Microstructures School of PhysicsCollaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing 210093China Beijing microelectronics Technology institute Beijing 100076China

Dzyaloshinskii–Moriya interaction(DMI) is under extensive investigation considering its crucial status in chiral magnetic orders, such as Néel-type domain wall(DW) and skyrmions. It has been reported that the interfacial DMI originating from Rashba spin–orbit coupling(SOC) can be linearly tuned with strong external electric fields. In this work, we experimentally demonstrate that the strength of DMI exhibits rapid fluctuations, ranging from 10% to 30% of its original value, as a function of applied electric fields in Pt/Co/MgO heterostructures within the small field regime(research related to the voltage control of magnetic anisotropy for spin–orbit torque or the motion control of skyrmions might also have to consider the role of the external electric field on DMI as small voltages are generally used for the magnetoresistance detection.

关键词： Dzyaloshinskii-Moriya interaction weak electric field control effect Rashba spin-orbit coupling interfacial orbital hybridization

Dynamic ocean inverse modeling based on differentiable rendering

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Computational Visual Media 2024年第2期10卷 279-294页

作者： Xueguang Xie Yang Gao Fei Hou Aimin Hao Hong Qin State Key Lab of Virtual Reality Technology and Systems Beihang UniversityBeijing 100191China qingdao research institute Beihang UniversityQingdao 266100Chinaand Peng Cheng LabShenzhen 518000China SKLCS Institute of SoftwareChinese Academy of SciencesBeijing 100190Chinaand University of Chinese Academy of SciencesBeijing 100049China Department of Computer Science Stony Brook University(SUNY at Stony Brook)Stony BrookNew York 11794-2424USA

Learning and inferring underlying motion patterns of captured 2D scenes and then re-creating dynamic evolution consistent with the real-world natural phenomena have high appeal for graphics and *** bridge the technical gap between virtual and real environments,we focus on the inverse modeling and reconstruction of visually consistent and property-verifiable oceans,taking advantage of deep learning and differentiable physics to learn geometry and constitute waves in a self-supervised ***,we infer hierarchical geometry using two networks,which are optimized via the differentiable *** extract wave components from the sequence of inferred geometry through a network equipped with a differentiable ocean ***,ocean dynamics can be evolved using the reconstructed wave *** extensive experiments,we verify that our new method yields satisfactory results for both geometry reconstruction and wave ***,the new framework has the inverse modeling potential to facilitate a host of graphics applications,such as the rapid production of physically accurate scene animation and editing guided by real ocean scenes.

关键词： inverse modeling surface reconstruction wave modeling ocean waves differentiable rendering(DR)

Gravitational waves and primordial black hole productions from gluodynamics by holography

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Science China(Physics,Mechanics & Astronomy) 2024年第4期67卷 31-42页

作者： Song He Li Li Zhibin Li Shao-Jiang Wang Center for Theoretical Physics and College of Physics Jilin UniversityChangchun 130012China Max Planck institute for Gravitational Physics(Albert Einstein institute) Golm 14476Germany CAS Key Laboratory of Theoretical Physics Institute of Theoretical PhysicsChinese Academy of SciencesBeijing 100190China School of Fundamental Physics and Mathematical Sciences Hangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhou 310024China Peng Huanwu Collaborative Center for research and Education Beihang UniversityBeijing 100191China School of Physics and microelectronics Zhengzhou UniversityZhengzhou 450001China

Understanding the nature of quantum chromodynamics(QCD)matter is important but challenging due to the presence of nonperturbative dynamics under extreme *** construct a holographic model describing the gluon sector of QCD at finite temperatures in the non-perturbative *** equation of state as a function of temperature is in good accordance with the lattice QCD ***,the Polyakov loop and the gluon condensation,which are proper order parameters to capture the deconfinement phase transition,also agree quantitatively well with the lattice QCD *** obtain a strong first-order confinement/deconfinement phase transition at Tc=276.5 Me V that is consistent with the lattice QCD *** on our model for a pure gluon hidden sector,we compute the stochastic gravitational waves and primordial black hole(PBH)productions from this confinement/deconfinement phase transition in the early *** resulting stochastic gravitational-wave backgrounds are found to be within detectability in the International Pulsar Timing Array and Square Kilometre Array in the near future when the associated productions of PBHs saturate the current observational bounds on the PBH abundances from the LIGO-Virgo-Collaboration O3 data.

关键词： AdS/QCD confinement/deconfinement phase transition gravitational wave primordial black hole

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Erratum to: Dynamic ocean inverse modeling based on differentiable rendering

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Computational Visual Media 2024年第3期10卷 1-1页

作者： Xie, Xueguang Gao, Yang Hou, Fei Hao, Aimin Qin, Hong State Key Lab of Virtual Reality Technology and Systems Beihang University Beijing China qingdao research institute Beihang University Qingdao China Peng Cheng Lab Shenzhen China SKLCS Institute of Software Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Department of Computer Science Stony Brook University (SUNY at Stony Brook) Stony Brook USA

The authors apologize for a hidden error in the article. It is that the images in Figs. 14(a) and 14(d) were mistakenly presented as left–right mirror images. The authors have flipped them to ensure that the figures now correspond correctly with others in the subfigures (b, c, e, f). The accurate version of Fig. 14 is provided as below.

关键词： ocean images inverse

Developments and Applications of Tunneling Magnetoresistance Sensors

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Tsinghua Science and Technology 2022年第3期27卷 443-454页

作者： Shaohua Yan Zitong Zhou Yaodi Yang Qunwen Leng Weisheng Zhao the School of Integrated Circuit Science and Engineering Beihang UniversityBeijing 100191China beihang-Goertek Joint microelectronics institute Qingdao Research Institute of Beihang UniversityQingdao 266100China

Magnetic sensors based on tunneling magnetoresistance(TMR)effect exhibit high sensitivity,small size,and low power *** have gained a lot of attention and have potential applications in various *** study first introduces the development history and basic principles of TMR ***,a comprehensive description of TMR sensors linearization and Wheatstone bridge configuration is *** key performance parameters,the field sensitivity and noise mechanisms,are ***,the emerging applications of TMR sensors are discussed.

关键词： tunneling magnetoresistance(TMR)sensor linearization Wheatstone bridge configuration noise

Implementation of 16 Boolean logic operations based on one basic cell of spin-transfer-torque magnetic random access memory

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Science China(Information Sciences) 2023年第6期66卷 250-257页

作者： Yan HUANG Kaihua CAO Kun ZHANG Jinkai WANG Kewen SHI Zuolei HAO Wenlong CAI Ao DU Jialiang YIN Qing YANG Junfeng LI Jianfeng GAO Chao ZHAO Weisheng ZHAO Fert Beijing institute MIIT Key Laboratory of SpintronicsSchool of Integrated Circuit Science and EngineeringBeihang University institute of microelectronics of the Chinese Academy of Sciences beihang-Goertek Joint microelectronics institute Qingdao Research InstituteBeihang University

In-memory computing(IMC)systems based on emerging nonvolatile memories(NVMs)provide a thorough solution for memory wall issues and von Neumann bottlenecks. Massive IMC schemes have been proposed by utilizing ingenious structures and additional auxiliary components. However, these schemes are not compatible with the basic cell(one memory unit and one transistor)of emerging random-access memory(RAM), which goes against low-power and high-density requirements. In this paper, we propose a logic implementation scheme based on one magnetic tunnel junction and one transistor(1MTJ-1T), which is the basic cell of spin-transfer-torque magnetic RAM(STT-MRAM). With no other assistance, complete 16 logic operations can be accomplished in two steps with their logic outputs in-situ stored in the MTJ. The area(0.2 μm2)and energy consumption per logic operation(1.1–2.6 pJ)of the logic gates under 14 nm process node are evaluated using SPICE simulations, indicating its excellent performance. Our work exhibits a 1MTJ-1Tbased logic operation implementation, which can bridge the gap between STT-MRAM and high-performance IMC applications.

关键词： in-memory computing logic operation magnetic tunnel junctions transistor spin transfer torque

Stateful implication logic based on perpendicular magnetic tunnel junctions

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Science China(Information Sciences) 2022年第2期65卷 197-203页

作者： Wenlong CAI Mengxing WANG Kaihua CAO Huaiwen YANG Shouzhong PENG Huisong LI Weisheng ZHAO Fert Beijing institute MIIT Key Laboratory of Spintronics School of Integrated Circuit Science and EngineeringBeihang University beihang-Goertek Joint microelectronics institute Qingdao Research Institute Beihang University

As the conventional von Neumann architecture meets critical limitations of data transfer bandwidth and energy consumption, perpendicular magnetic anisotropy magnetic tunnel junction based processing-in-memory paradigm attracts extensive attention as a promising substitute thanks to its nonvolatility, low-power switching, fast access and infinite endurance. In this work, we propose and experimentally demonstrate a new spintronic implication logic gate that consists of two parallel perpendicular magnetic anisotropy magnetic tunnel junctions with different diameters. Material implication and furthermore NAND logic functions are implemented by all electrically-controlled operations. The reliability of this structure is verified, especially in sub-20 nm node, which shows great potential for large-density processing-in-memory applications.

关键词： perpendicular magnetic anisotropy magnetic tunnel junction implication spin transfer torque spintronic implication logic gate processing-in-memory

Spintronics intelligent devices

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Science China(Physics,Mechanics & Astronomy) 2023年第11期66卷 17-43页

作者： Wenlong Cai Yan Huang Xueying Zhang Shihong Wang Yuanhao Pan Jialiang Yin Kewen Shi Weisheng Zhao Fert Beijing institute MIIT Key Laboratory of SpintronicsSchool of Integrated Circuit Science and EngineeringBeihang UniversityBeijing100191China beihang-Goertek Joint microelectronics institute Qingdao Research InstituteBeihang UniversityQingdao266000China

Intelligent computing paradigms have become increasingly important for the efficient processing of massive amounts of ***,using traditional electronic devices to implement these intelligent paradigms is currently mismatched and limited by their energy,area,and ***,which exploits the magnetic and electrical properties of electrons,could break through these limitations and bring new possibilities to electrical *** particular,the tunneling magnetoresistance effect,merging quantum and spintronics,enables spintronic devices to be compatible with standard integrated circuits with a magnetic tunnel junction(MTJ)design,showing great potential for implementing hardware-based intelligent *** this review,we introduce the specific capabilities of MTJs,including nonvolatility,stochasticity,plasticity,and nonlinearity,which are highly favorable in artificial intelligence *** then present how these devices could impact the development of intelligent computing,including in-memory computing,probabilistic computing,and neuromorphic ***,we discuss their challenges and perspectives in intelligent hardware implementations.

关键词： tunneling magnetoresistance effect magnetic tunnel junction in-memory computing probabilistic computing neuromorphic computing