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Berry phases in Coulomb drag of double-layer graphene system

Physical Review B 2025年第3期111卷 035417-035417页

作者： Jianghui Pan Lijun Zhu Xiaoqiang Liu Lin Li Changgan Zeng Ji Feng International Center for Quantum Materials School of Physics Peking University Beijing 100871 China CAS Key Laboratory of Strongly-Coupled Quantum Matter Physics and Department of Physics University of Science and Technology of China Hefei 230026 China International Center for Quantum Design of Functional Materials (ICQD) Hefei National Research Center for Physical Sciences at the Microscale University of Science and Technology of China Hefei 230026 China Hefei National Laboratory Hefei 230088 China

Recent experiments suggest quantum interference effects in the Coulomb drag of double-layer graphene systems. By accounting for correlated interlayer impurity scattering under a weak magnetic field, our theoretical results reveal drag resistivities resembling those in weak (anti)localization. It is established that the quantum interference effect is most significant when the chemical potentials of the two graphene sheets match. The theory clarifies the roles of intra- and interlayer Berry phases in Coulomb drag in double-layer graphene systems and helps delineate the intra- and intervalley contributions. These insights are valuable for designing graphene-based electronic devices exploiting quantum effects.

关键词： Quantum interference devices

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Anthropogenic land use substantially increases riverine CO_(2) emissions

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Journal of Environmental sciences 2022年第8期34卷 158-170页

作者： Shijie Gu Siyue Li Isaac R.Santos School of River and Ocean Engineering Chongqing Jiaotong UniversityChongqing 400074China Key Laboratory of Reservoir Aquatic Environment Chongqing Institute of Green and Intelligent TechnologyChinese Academy of SciencesChongqing 400714China Chongqing School University of Chinese Academy of SciencesChongqing 400714China Research Center for Environmental Ecology and Engineering Institute of Changjiang Water Environment and Ecological SecuritySchool of Environmental Ecology and Biological EngineeringKey Laboratory for Green Chemical Process of Ministry of EducationKey Laboratory of Novel Reactor and Green Chemical Technology of Hubei ProvinceEngineering Research Center of Phosphorus Resources Development and Utilization of Ministry of EducationWuhan Institute of TechnologyWuhan 430205China Department of Marine Sciences University of GothenburgGothenburg 41296Sweden National Marine Science Centre Southern Cross UniversityCoffs HarbourNSW 2450Australia

Carbon dioxide(CO_(2)) emissions from inland waters to the atmosphere are a pivotal component of the global carbon budget. Anthropogenic land use can influence riverine CO_(2) emissions, but empirical data exploring cause-effect relationships remain limited. Here, we investigated CO_(2) partial pressures(pCO_(2)) and degassing in a monsoonal river(Yue River)within the Han River draining to the Yangtze in china. Almost 90% of river samples were supersaturated in CO_(2) with a mean ± standard deviation of 1474 ± 1614 μatm, leading to emissions of 557-971 mmol/m^(2)/day from river water to the atmosphere. Annual CO_(2) emissions were 1.6-2.8 times greater than the longitudinal exports of riverine dissolved inorganic and organic carbon. pCO_(2) was positively correlated to anthropogenic land use(urban and farmland), and negatively correlated to forest cover. p CO_(2) also had significant and positive relationships with total dissolved nitrogen and total dissolved phosphorus. Stepwise multiple regression models were developed to predict p CO_(2) . Farmland and urban land released nutrients and organic matter to the river system, driving riverine p CO_(2) enrichment due to enhanced respiration in these heterotrophic rivers. Overall, we show the crucial role of land use driving riverine pCO_(2) , which should be considered in future large-scale estimates of CO_(2) emissions from streams. Land use change can thus modify the carbon balance of urban-river systems by enhancing river emissions, and reforestation helps carbon neutral in rivers.

关键词： River carbon Inland waters Greenhouse gases Climate change Water quality Headwater streams

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Strain Rate Effect of Armature Material for Electromagnetic Rail Launcher 13

Strain Rate Effect of Armature Material for Electromagnetic ...

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13th International Symposium on Linear Drives for Industry Applications, LDIA 2021

作者： Du, Peipei Lu, Junyong Li, Kai Feng, Junhong Li, Xiangping The National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of Engineering China

ISBN: (纸本)9781728172101

During the sliding contact between the armature and the rail of the electromagnetic rail launcher, the armature material has serious wear and failure. In order to accurately predict the failure process of the armature, the ZwickHTM5020 high-speed tensile testing machine is used to carry out the strain rate 1 s-1, 10 s-1, 100 s-1, 1000 s-1 and other working conditions of the armature material mechanical performance test, and the VIC-2D ultra-high-speed non-contact strain measurement system is used to carry out the armature material strain test in the dynamic stretching process. Experimental studies have found that the armature material for battery track transmitters has a certain strain strengthening effect. It is found that with the increase of the strain rate, the yield strength of the armature material increases from 400 MPa to 462 MPa, and the failure strength increases from 480 MPa to 525 MPa, which has important application value for the maximum design of armature. © 2021 IEEE

关键词： Strain rate

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Sensitivity and Uncertainty Analysis of the Nonlinear Flight Dynamics system of the Flexible Body

SSRN

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SSRN 2023年

作者： Qiao, Chen-Liang Xu, He-Yong Ye, Zheng-Yin National Key Laboratory of Science and Technology on Aerodynamic Design and Research Northwestern Polytechnical University Xi’an710072 China

Free flight of a flexible body is a complex process involving rigid-flexible coupling dynamics. In this paper, the trajectory of a javelin model with a slenderness ratio of 98.15 flying in the vacuum is calculated. The strong flexible effect and the sensitive rotational characteristics caused by the large slenderness ratio provide an extreme environment for the rigid-flexible coupled system. To study the performance of the nonlinear flight dynamics system of the flexible body under extreme conditions, the uncertainty and the sensitivity of the coupled system are analyzed for the first time. The Monte Carlo (MC) method and the non-intrusive polynomial chaos (NIPC) method are compared by quantifying the uncertainty in the coupled system with the random inertia of the principal axis (Ixx). The uncertainty in the coupled system is quantified using the second-order NIPC method. It is found that the decoupling method is sensitive to the time step due to the unsynchronization of status variables between the rotational equation and structural equation. In contrast, the coupling method is insensitive to the time step. The moment of inertia of the principal axis, the stiffness according to the primary modes, and the initial deformation have the largest influence on the uncertainty of the coupled system. The rotational velocity in the x direction (ωx) is significantly sensitive to the random inputs. The total uncertainty region of the ωx gradually expands over time. © 2023, The Authors. All rights reserved.

关键词： Free flight

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Towards Network-Wide Scheduling for Cyclic Traffic in IP-based Deterministic Networks 4

Towards Network-Wide Scheduling for Cyclic Traffic in IP-bas...

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4th International Conference on Hot Information-Centric Networking, HotICN 2021

作者： Huang, Yudong Wang, Shuo Feng, Tao Wang, Jiasen Huang, Tao Huo, Ru Liu, Yunjie State Key Laboratory of Networking and Switching Technology Bupt China National Key Laboratory of Science and Technology on Information System Security Institute of System Engineering Chinese Academy of Military Science China Purple Mountain Laboratories Nanjing China

ISBN: (纸本)9781665405492

The emerging time-sensitive applications, such as industrial automation, smart grids, and telesurgery, pose strong demands for enabling large-scale IP-based deterministic networks. The IETF DetNet working group recently proposes a Cycle Specified Queuing and Forwarding (CSQF) solution. However, CSQF only specifies an underlying device-level primitive while how to achieve network-wide flow scheduling remains undefined. Previous scheduling mechanisms are mostly oriented to the context of local area networks, making them inapplicable to the cyclic traffic in wide area networks. In this paper, we design the Cycle Tags Planning (CTP) mechanism, a first mathematical model to enable network-wide scheduling for cyclic traffic in large-scale deterministic networks. Then, a novel scheduling algorithm named flow offset and cycle shift (FO-CS) is designed to compute the flows' cycle tags. The FO-CS algorithm is evaluated under long-distance network topologies in remote industrial control scenarios. Compared with the Naive algorithm without using FO-CS, simulation results demonstrate that FO-CS improves the scheduling flow number by 31.2% in few seconds. © 2021 IEEE.

关键词： Scheduling

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Robot map construction based on topology and hierarchical fusion in unknown environment 2

Robot map construction based on topology and hierarchical fu...

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2nd International Conference on the Frontiers of Intelligent Control, Measurement, and Signal systems, FICMSS 2025

作者： Li, Zirun Zhu, Chunjia Tao, Hao Zhang, Qingfang Pu, Chenyu Xiao, Jinsheng School of Electronic Information Wuhan University Wuhan430072 China China Ship Development and Design Center Hubei Wuhan430064 China National Key Laboratory of Information System and Technology Beijing Institute of Control and Electronic Technology Beijing100038 China

Map construction has always been crucial in exploring enclosed unknown environments. Traditional mapping methods have problems such as low accuracy or long time consumption. Due to the indoor and enclosed nature of unknown environments, inspection robots often encounter challenges in mapping and path planning. To address similar issues, we proposed an optimized indoor mapping solution based on topology technology and hierarchical fusion, and conducted experiments using robots in a library simulation scenario in an unknown environment. Figure 1 shows the map that we have obtained by layering and *** utilizing topology techniques and hierarchical fusion mapping methods, we have effectively simplified the mapping process, reducing computational complexity and cost while obtaining spatial information and this method allows for the consideration of the geometric characteristics of robots when planning safe and accurate passable paths. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Topology

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Influence of Si Addition on the Microstructure, Mechanical and Lbe Corrosion Properties of an Amorphous Alcrfemoti High-Entropy Alloy Coating

SSRN

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SSRN 2022年

作者： Yang, Jian Zhou, Mingyang Liu, Ning Yang, Jijun Key Laboratory of Radiation Physics and Technology of Ministry of Education Institute of Nuclear Science and Technology Sichuan University Chengdu610064 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China

The effect of the Si addition content ranging from 3.3 to 9.1 at.% on the microstructure, mechanical properties and LBE corrosion behaviour of AlCrFeMoTi HEA coatings was investigated. The AlCrFeMoTiSix coatings still maintained an amorphous structure, and their mechanical properties were improved. The Si addition greatly contributed to the enhancement of the LBE corrosion resistance of the coatings, which could be attributed to the formation of a more continuous and protective Cr2O3 and Al2O3 layer. However, the improved efficiency was related to the Si addition content, with an oxidation process model put forwards to well explain this phenomenon. © 2022, The Authors. All rights reserved.

关键词： Corrosive effects

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Influence of Si Addition on the Microstructure, Mechanical and LBE Corrosion Properties of an Amorphous AlCrFeMoTi High-Entropy Alloy Coating

SSRN

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SSRN 2022年

作者： Yang, Jian Bai, Fan Zhou, Mingyang Deng, Jiuguo Zhong, Yilong Chen, Qingsong Zhang, Wei Zhu, Changda Liu, Ning Yang, Jijun Key Laboratory of Radiation Physics and Technology Ministry of Education Institute of Nuclear Science and Technology Sichuan University Chengdu610064 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China

关键词： Corrosive effects

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被动标量湍流的约束亚格子模型

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Acta Mechanica Sinica 2023年第4期39卷 184-194页

作者：黄鹏陈宽宇彭怀午 Hsu-Chew Lee 史一蓬肖左利陈十一万敏平 Guangdong Provincial Key Laboratory of Turbulence Research and Applications Department of Mechanics and Aerospace EngineeringSouthern University of Science and TechnologyShenzhen518055China Guangdong-Hong Kong-Macao Joint Laboratory for Data-Driven Fluid Mechanics and Engineering Applications Southern University of Science and TechnologyShenzhen518055China State Key Laboratory for Turbulence and Complex System College of EngineeringPeking UniversityBeijing100871China Northwest Survey and Design Research Institute Xi’an710065China Eastern Institute for Advanced Study Ningbo315200China

本文采用约束大涡模拟(C-LES)模型来模拟湍流中的被动标量.通过施加一个基于被动标量大涡模拟(LES)中标量方差通量标度不变量的物理约束来计算动态混合非线性模型(MNLM)的系数.将约束亚格子(SGS)模型与不同的SGS模型在不可压各向同性湍... 详细信息

本文采用约束大涡模拟(C-LES)模型来模拟湍流中的被动标量.通过施加一个基于被动标量大涡模拟(LES)中标量方差通量标度不变量的物理约束来计算动态混合非线性模型(MNLM)的系数.将约束亚格子(SGS)模型与不同的SGS模型在不可压各向同性湍流被动标量中进行比较.此外,C-LES模型减少了SGS标量方差通量在惯性-对流尺度以及较大的黏性-扩散尺度上的变化.先验测试表明,C-LES模型在预测SGS标量通量的方向和大小方面表现最好.此外,C-LES模型减少了SGS标量方差通量在惯性-对流范围内以及粘性-扩散范围内大尺度的变化.在后验测试中,与传统的动态Smagorinsky(DSM)和MNLM模型相比,C-LES模型在预测标量谱和内部间歇性的演变中表现明显更好.这些结果表明,在SGS模型中施加物理约束是在被动标量湍流大涡模拟中的一种有前途的方法.

关键词： SGS模型亚格子模型 LES模型各向同性湍流物理约束扩散范围非线性模型动态混合

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Joint DNN Partition and Thread Allocation Optimization for Energy-Harvesting MEC systems

Joint DNN Partition and Thread Allocation Optimization for E...

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2025 design, Automation and Test in Europe Conference, DATE 2025

作者： Shi, Yizhou Li, Liying Zeng, Yue Cong, Peijin Zhou, Junlong Nanjing University National Key Laboratory for Novel Software Technology Nanjing210023 China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China Southeast University National Mobile Communications Research Laboratory Nanjing211111 China Key Laboratory of Embedded System and Service Computing Tongji University Ministry of Education Shanghai201804 China

ISBN: (纸本)9783982674100

Deep neural networks (DNNs) have demonstrated exceptional performance, leading to diverse applications across various mobile devices (MDs). Considering factors like portability and environmental sustainability, an increasing number of MDs are adopting energy harvesting (EH) techniques for power supply. However, the computational intensity of DNNs presents significant challenges for their deployment on these resource-constrained devices. Existing approaches often employ DNN partition or offloading to mitigate the time and energy consumption associated with running DNNs on MDs. Nonetheless, existing methods frequently fall short in accurately modeling the execution time of DNNs, and do not consider to use thread allocation for further latency and energy consumption optimization. To solve these problems, we propose a dynamic DNN partition and thread allocation method to optimize the latency and energy consumption of running DNNs on EH-enabled MDs. Specifically, we first investigate the relationship between DNN inference latency and allocated threads and establish an accurate DNN latency prediction model. Based on the prediction model, a DRL-based DNN partition (DDP) algorithm is designed to find the optimal partitions for DNNs. A thread allocation (TA) algorithm is proposed to reduce the inference latency. Experimental results from our test-bed platform demonstrate that compared to four benchmarking methods, our scheme can reduce DNN inference latency and energy consumption by up to 37.3% and 38.5%. © 2025 EDAA.

关键词： Energy utilization

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