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A gap closing gap

Science China(Physics,Mechanics & Astronomy) 2023年第10期66卷 227-228页

作者： ke He State key Laboratory of Low-Dimensional Quantum Physics Department of PhysicsTsinghua UniversityBejing 100084China Bejing Academy of Quantum Information Sciences Bejing 100193China

The intrinsic magnetic topological insulator MnBi_(2)Te_(4) is believed to be a feasible pathway to high temperature quantum anomalous Hall(QAH) effect for its large magnetically induced energy gap(-50 meV) at its Dirac surface states predicted in theory [1]. The quantized anomalous Hall resistance has been achieved in its thin flakes [2] and films[3], though in most cases a magnetic field of several teslas is still required. The expected large surface state gap, however.

关键词： topological magnetic quantum

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王阮生平事迹补考

湖北科技学院学报 2025年第1期45卷 52-59,F0002页

作者：王可喜湖北科技学院人文与传媒学院湖北咸宁437100

拙文《南宋诗人王阮生平事迹考》发表在《长江学术》2009年第2期上。其中有诸多环节没能考实,特别是登进士第后授官时间,永州教授任上入京拜见王炎及献书阙下,考亭拜见朱熹及从朱子学,昌国归来线路及歌咏,移知抚州及隐居庐山时间等,这... 详细信息

拙文《南宋诗人王阮生平事迹考》发表在《长江学术》2009年第2期上。其中有诸多环节没能考实,特别是登进士第后授官时间,永州教授任上入京拜见王炎及献书阙下,考亭拜见朱熹及从朱子学,昌国归来线路及歌咏,移知抚州及隐居庐山时间等,这些细节,今随着史料的深度发掘和新的发现,都得到了考实、还原。

关键词：王阮生平事迹补考

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分布式算法在大规模数据处理中的应用研究

计算机应用文摘 2025年第1期41卷 199-201页

作者：柯广铭太原理工大学太原041000

随着大数据的发展,数据规模急剧增长,传统单机处理模式难以满足高效、实时处理大规模数据的需求。通过将数据和计算任务分布到多个计算节点上进行并行处理,分布式算法成为处理大规模数据的重要手段。

关键词：分布式算法数据处理并行处理并行计算

Raise quantum anomalous Hall states up

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National Science Review 2021年第1期8卷 9-10页

作者： ke He Beijing Institute of Quantum Information Science Frontier Science Center for Quantum Information State key Laboratory of Low-Dimensional Quantum Physics Department of Physics Tsinghua University

Experimental progress on the quantum anomalous Hall (QAH) effect has been significantly accelerated recently by the discovery of an intrinsic magnetic topological insulator MnBi2Te4[1]. The material is natively antiferromagnetic, but an external magnetic field of several tesla can overcome its weak interlayer antiferromagnetic coupling, making it ferromagnetic. Interestingly,

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Molecular beam epitaxy growth of quantum devices

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Chinese Physics B 2022年第12期31卷 430-433页

作者： ke He State key Laboratory of Low-Dimensional Quantum Physics Department of PhysicsTsinghua UniversityBeijing 100084China Frontier Science Center for Quantum Information Beijing 100084China Beijing Institute of Quantum Information Science Beijing 100193China

The inherent fragility and surface/interface-sensitivity of quantum devices demand fabrication techniques under very clean ***,I briefly introduces several techniques based on molecular beam epitaxy growth on pre-patterned substrates which enable us to directly prepare in-plane nanostructures and heterostructures in ultrahigh *** molecular beam epitaxy-based fabrication techniques are especially useful in constructing the high-quality devices and circuits for solid-state quantum computing in a scalable way.

关键词： molecular beam epitaxy fabrication ultrahigh vacuum quantum computation

Modelling and analysis of initial icing roughness with fixed-grid enthalpy method based on DPM-VOF algorithm

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Chinese Journal of Aeronautics 2022年第7期35卷 168-178页

作者： Jie LIU Peng ke Department of Civil Helicopter Research and Development China Helicopter Research and Development InstituteTianjin 300000China School of Transportation Science and Engineering Beihang UniversityBeijing 100191China

Ice particles could form under the continuous impingement of incoming supercooled droplets in icing conditions,which will change the surface roughness to enhance the further heat and mass transfer during icing process.A fixed-grid porous enthalpy method based on the improved Discrete Phase Model(DPM)and Volume of Fluid(VOF)integrated algorithm is developed to solve the multiphase heat transfer problem to give more detailed demonstration of the formation of initial ice *** algorithms to determine the criterion of transformation from DPM to VOF and the allocation of source items during transformation are improved to the general DPM-VOF *** verification cases,namely two glycerine-solution droplets impact and single droplet freeze,are conducted to verify the accuracy and reliability of the enthalpy-DPMVOF method,where the simulation results match well with experiment *** roughness on a NACA0012 airfoil is precisely captured and the effects on convective heat transfer characteristics are preliminarily *** results illustrate that the enthalpy-DPM-VOF method could successfully capture the characteristics of motion and the phase change process of droplet,as well as balance the calculation accuracy and efficiency.

关键词： Discrete phase model Fixed-grid porous enthalpy method Ice roughness Icing modelling Integrated algorithm Multiphase heat transfer Volume of fluid

Exponential Stability of Impulsive Neutral Stochastic Functional Differential Equations with Markovian Switching

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Journal of Systems Science & Complexity 2023年第4期36卷 1560-1582页

作者： XIAO ke LI Shuyong School of Mathematics and Statistics Sichuan University of Science&EngineeringZigong 643002China Department of Mathematics Sichuan UniversityChengdu 610065China School of Mathematics and Physics Mianyang Teachers’CollegeMianyang 621000China

The aim of this paper is to the discussion of the exponential stability of a class of impulsive neutral stochastic functional differential equations with Markovian *** the influence of impulsive disturbance,the solution for the system is *** using the Razumikhin technique and stochastic analysis approaches,as well as combining the idea of mathematical induction and classification discussion,some sufficient conditions for the pth moment exponential stability and almost exponential stability of the systems are *** stability conclusion is full *** results show that impulse,the point distance of impulse and Markovain switching affect the stability for the ***,two examples are provided to illustrate the effectiveness of the results proposed.

关键词： Delay,exponential stability,impulsive Markovian switching,neutral Razumikhin technique,stochastic functional differential equations

Combining Polarization-Division Multiplexing and Ferromagnetic Nonreciprocity to Achieve In-Band Ultra-High Isolation for Full-Duplex Wireless Systems

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Engineering 2024年第9期40卷 179-187页

作者： Amir Afshani ke Wu Poly-Grames Research Center Department of Electrical EngineeringÉcole Polytechnique de MontréalMontrealQC H3T 1J4Canada

The in-band full-duplex(IBFD)wireless system is a promising candidate for 6G and beyond,as it can double data throughput and enormously lower transmission latency by supporting simultaneous in-band transmission and reception of *** IBFD systems requires a substantial mitigation of a transmitter(Tx)’s strong self-interference(SI)signal into the receiver(Rx)***,current state-ofthe-art approaches to tackle this challenge are inefficient in terms of performance,cost,and complexity,hindering the commercialization of IBFD *** this work,we devise and demonstrate an innovative approach to realize IBFD systems that exhibit superior performance with a low-cost and lesscomplex architecture in an all-passive *** scheme is based on meticulously combining polarization-division multiplexing(PDM)with ferromagnetic nonreciprocity to achieve ultra-high isolation between Tx and Rx *** an unprecedented conception has become feasible thanks to a concurrent dual-mode circulator—a new component introduced for the first time—as a key feature of our module,and a dual-mode waveguide that transforms two orthogonally polarized waves into two orthogonal waveguide *** addition,we propose a unique passive tunable secondary SI cancellation(SIC)mechanism,which is embedded within the proposed module and boosts the isolation over a relatively broad *** report,solely in the analog domain,experimental isolation levels of 50,70,and 80 dB over 340,101,and 33 MHz bandwidth at the center frequency of interest,respectively,with excellent tuning ***,the module is tested in two real IBFD scenarios to assess its performance in connection with Tx-to-Rx leakage and modulation error in the presence of a Tx’s strong interference signal.

关键词： In-band full-duplex transceiver 6G Polarization-division multiplexing Dual-mode nonreciprocity

Chiller faults detection and diagnosis with sensor network and adaptive 1D CNN

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Digital Communications and Networks 2022年第4期8卷 531-539页

作者： ke Yan Xiaokang Zhou Department of the Built Environment National University of Singapore4 Architecture Drive117566Singapore Faculty of Data Science Shiga UniversityHikone5228522Japan RIkeN Center for Advanced Intelligence Project RIKENTokyo1030027Japan

Computer-empowered detection of possible faults for Heating,Ventilation and Air-Conditioning(HVAC)subsystems,e.g.,chillers,is one of the most important applications in Artificial Intelligence(AI)integrated Internet of Things(IoT).The cyber-physical system greatly enhances the safety and security of the working facilities,reducing time,saving energy and protecting humans’*** the current trends of smart building design and energy management optimization,Automated Fault Detection and Diagnosis(AFDD)of chillers integrated with IoT is highly *** studies show that standard machine learning techniques,such as Principal Component Analysis(PCA),Support Vector Machine(SVM)and tree-structure-based algorithms,are useful in capturing various chiller faults with high accuracy *** the fast development of deep learning technology,Convolutional Neural Networks(CNNs)have been widely and successfully applied to various ***,for chiller AFDD,few existing works are adopting CNN and its extensions in the feature extraction and classification *** this study,we propose to perform chiller FDD using a CNN-based *** proposed approach has two distinct advantages over existing machine learning-based chiller AFDD ***,the CNN-based approach does not require the feature selection/extraction *** CNN is reputable with its feature extraction capability,the feature extraction and classification processes are merged,leading to a more neat AFDD framework compared to traditional ***,the classification accuracy is significantly improved compared to traditional methods using the CNN-based approach.

关键词： Chiller Fault detection and diagnosis Deep learning neural network Long short term memory Recurrent neural network Gated recurrent unit