检索结果-内蒙古大学图书馆

2021 North American Power Symposium, NAPS 2021

作者： Mate, Adam Barnes, Arthur K. Morley, Steven K. Friz-Trillo, Jacob A. Cotilla-Sanchez, Eduardo Blake, Sean P. Los Alamos National Laboratory Advanced Network Science Initiative Los AlamosNM87545 United States Los Alamos National Laboratory Space Science and Applications Group Los AlamosNM87545 United States Department of Electrical and Biomedical Engineering University of Vermont BurlingtonVT05405 United States Oregon State University School of Electrical Engineering and Computer Science CorvallisOR97331 United States NASA Goddard Space Flight Center Heliophysics Science Division GreenbeltMD20771 United States

ISBN: (纸本)9781665420815

A major risk of geomagnetic disturbances (GMDs) is cascading failure of electrical grids. The modeling of GMD events and cascading outages in power systems is difficult, both independently and jointly, because of the many different mechanisms and physics involved. This paper introduces a relaxation based modeling of GMD-induced cascading failures: the dc approximation-based DCSIMSEP solver was adapted to simulate cascading as a result of GMDs, the full set of ac power flow equations were relaxed to guarantee optimality, and the reactive power losses were modeled while keeping the problem convex. The developed algorithm was implemented in *** - an open-source software specifically designed to model and analyze geomagnetic hazards - and demonstrated to work on the RTS-GMLC-GIC-EAST synthetic test network. © 2021 IEEE.

关键词： Open source software

来源：评论

学校读者我要写书评

暂无评论

Dual Z-scheme Pr2Sn2O7/P@g-C3N4/SnS2 heterojunctions for the removal of tetracycline antibiotic by persulfate activation: Kinetics, thermodynamic parameters, density functional theory, and toxicity studies

引用

Chemical engineering Journal 2024年 479卷

作者： Prasanna, Sanjay Ballur Sakthivel, Rajalakshmi Shanthakumar, Karthik Chimatahalli Shivamurthy, Santhosh Arehalli Lin, Yu-Chien Dhawan, Udesh Liu, Xinke Chung, Ren-Jei Taipei10608 Taiwan Department of Chemistry SJCE JSS Science and Technology University Karnataka570006 India N.M.K.R.V. College for Women Karnataka 560011 India Centre for the Cellular Microenvironment Division of Biomedical Engineering James Watt School of Engineering Mazumdar-Shaw Advanced Research Centre University of Glasgow GlasgowG116EW United Kingdom College of Materials Science and Engineering Chinese Engineering and Research Institute of Microelectronics Shenzhen University Shenzhen518060 China Department of Electrical and Computer Engineering National University of Singapore Singapore 117583 Singapore Taipei10608 Taiwan

In this study, a Pr2Sn2O7/P@g-C3N4/SnS2 ternary nanocomposite photocatalyst is obtained by hydrothermal synthesis followed by mechanical grinding. By separating electrons and holes (e−/h+) effectively through the dual Z-scheme heterojunction and activating persulfate (PS), the heterojunction demonstrated superior visible light-driven catalytic activity. Tetracycline (TC) was degraded (89.48%) in 60 min using 30 mg/L of ternary composite and 30 mg/L of PS. This system displayed the highest pseudo-first-order kinetic constant (0.0989 min−1 and R2 = 0.969). The electron paramagnetic resonance analysis showed that SO4[rad]−, [rad]OH, [rad]O2−, and 1O2 were involved in TC degradation. TC's vulnerability positions and degradation pathways were analyzed using DFT and gas chromatography-mass spectrometry analysis, while toxicity assessment software was used to determine the toxicity of intermediate products. Thus, Pr2Sn2O7/P@g-C3N4/SnS2 was established to be a promising photocatalyst template for pollutant remediation. © 2023 Elsevier B.V.

关键词： Density functional theory

来源：评论

学校读者我要写书评

暂无评论

Antiferromagnetic FeTe2 1T−phase formation at the Sb2Te3/Ni80Fe20 interface

引用

Physical Review Materials 2023年第2期7卷 024406-024406页

作者： A. R. Will-Cole James L. Hart Matthew Matzelle Adrian Podpirka Nirjhar Bhattacharjee Shreya K. Patel Sarah H. Tolbert Arun Bansil Judy J. Cha Don Heiman Nian X. Sun Electrical and Computer Engineering Northeastern University Boston Massachusetts 02115 USA Materials Science and Engineering Cornell University Ithaca New York 14853 USA Department of Physics Northeastern University Boston Massachusetts 02115 USA Applied Physics Laboratory Johns Hopkins Laurel Maryland 20723 USA Department of Chemistry and Biochemistry University of California Los Angeles Los Angeles California 90095 USA Plasma Science and Fusion Center Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA

Bilayer topological insulator/ferromagnet (TI/FM) heterostructures are promising for spintronic applications due to their low switching energy and therefore power efficiency. Until recently, the reactivity of TIs with FM films was overlooked in the spin-orbit-torque literature, even though there are reports that it is energetically favorable for TIs to react with transition metals and form interfacial layers. In this study, we fabricated a TI/FM heterostructure comprised of molecular beam epitaxy grown Sb2Te3 and dc sputtered Ni80Fe20. Broadband ferromagnetic resonance revealed spin-pumping evident by the significant enhancement in Gilbert damping, which is likely a signature of the topological surface states or the presence of large spin-orbit coupling in the adjacent Sb2Te3. With low-temperature magnetometry, an exchange bias is observed that indicates an exchange interaction between an antiferromagnet (AFM) and an adjacent FM. Cross-section high-angle annular dark-field scanning transmission electron microscopy characterization of the Sb2Te3−Ni80Fe20 bilayer revealed a complex interface showing diffusion of Fe and Ni into the Sb2Te3 film yielding the formation of a FeTe2 1T−type structural phase. Furthermore, density functional theory calculations revealed that the FeTe2 1T−phase has an AFM ground state. Due to experimental limitations in the electron-energy-loss spectroscopy measurements, the precise chemistry of the interfacial phase could not be determined, therefore it is possible that the FeTe2 1T and/or an intermixed (Fe1–xNix)Te2 1T is the AFM interfacial phase contributing to exchange bias in the system. This work emphasizes the chemical complexity of TI/FM interfaces that host novel, metastable magnetic topological phases and require more in-depth studies of other similar interfaces.

关键词： Exchange bias Spintronics Topological insulators Antiferromagnets Solid-solid interfaces

来源：评论

学校读者我要写书评

暂无评论

AlScN High Electron Mobility Transistors: Integrating High Piezoelectric, High K Dielectric, and Ferroelectric Functionality

AlScN High Electron Mobility Transistors: Integrating High P...

引用

BiCMOS and Compound Semiconductor Integrated Circuits and Technology Symposium (BCICTS)

作者： Joseph Casamento Kazuki Nomoto Thai-Son Nguyen Hyunjea Lee Chandrasekhar Savant Lei Li Austin Hickman Takuya Maeda Yu-Tsun Shao Jimy Encomendero Ved Gund Timothy Vasen Shamima Afroz Daniel Hannan David A. Muller Huili Grace Xing Debdeep Jena Department of Materials Science and Engineering Cornell University Ithaca NY USA School of Electrical and Computer Engineering Cornell University Ithaca NY USA Kavli Institute at Cornell for Nanoscale Science Cornell University Ithaca NY USA School of Applied and Engineering Physics Cornell University Ithaca New York USA Northrop Grumman Mission Systems Advanced Technology Laboratory Linthicum Maryland USA Department of Physics Cornell University Ithaca New York USA

This paper presents an overview of the promising physical properties of the aluminum scandium nitride (AlScN) ternary alloy system and its integration in radiofrequency heterostructure high electron mobility transistors (RF HEMTs). Specifically, heterostructures with AlScN demonstrate enhanced piezoelectric response and enhanced relative dielectric permittivity, as well as ferroelectric behavior. These promising physical phenomena are manifested in HEMTs that show larger on current densities compared to aluminum gallium nitride (AlGaN) HEMTs and display ferroelectric behavior. An overlook on future improvements in thin film deposition and device fabrication is discussed to fully maximize the potential devices and integrated circuits incorporating AlScN.

关键词：

来源：评论

学校读者我要写书评

暂无评论

State Derivative Normalization for Continuous-Time Deep Neural Networks

引用

IFAC-PapersOnLine 2024年第15期58卷 253-258页

作者： Jonas Weigand Gerben I. Beintema Jonas Ulmen Daniel Görges Roland Tóth Maarten Schoukens Martin Ruskowski Chair of Machine Tools and Control Systems RPTU Kaiserslautern and the German Research Center for Artificial Intelligence Kaiserslautern Germany Control Systems (CS) Group at the Department of Electrical Engineering Eindhoven University of Technology Netherlands. R. Tóth is also affiliated to the Systems and Control Laboratory at the Institute for Computer Science and Control Budapest Hungary Institute for Electromobility RPTU Kaiserslautern Germany

The importance of proper data normalization for deep neural networks is well known. However, in continuous-time state-space model estimation, it has been observed that improper normalization of either the hidden state or hidden state derivative of the model estimate, or even of the time interval can lead to numerical and optimization challenges with deep learning based methods. This results in a reduced model quality. In this contribution, we show that these three normalization tasks are inherently coupled. Due to the existence of this coupling, we propose a solution to all three normalization challenges by introducing a normalization constant at the state derivative level. We show that the appropriate choice of the normalization constant is related to the dynamics of the to-be-identified system and we derive multiple methods of obtaining an effective normalization constant. We compare and discuss all the normalization strategies on a benchmark problem based on experimental data from a cascaded tanks system and compare our results with other methods of the identification literature.

关键词： System Identification Continuous-Time Neural Ordinary Differential Equations Nonlinear State-Space

来源：评论

学校读者我要写书评

暂无评论

Cell vibron polariton resonantly self-confined in the myelin sheath of nerve

引用

Nano Research 2020年第1期13卷 38-44页

作者： Bo Song Yousheng Shu School of Optical-Electrical Computer Engineering University of Shanghai for Science and TechnologyShanghai200093China State Key Laboratory of Medical Neurobiology Institute for Translational Brain ResearchMOE Frontiers Center for Brain ScienceDepartment of NeurologyHuashan HospitalFudan UniversityShanghai200032China

Polaritons are arousing tremendous interests in physics and material sciences for their unique and amazing properties,especially including the condensation,lasing without inversion and even room-temperature ***,we propose a cell vibron polariton(cell-VP):a collectively coherent mode of a photon and all phospholipid molecules in a myelin sheath formed by glial ***-VP can be resonantly self-confined in the myelin sheath under physiological *** observations benefit from the specifically compact,ordered and polar thin-film structure of the sheath,and the relatively strong coupling of the mid-infrared photon with the vibrons of phospholipid tails in the *** underlying physics is revealed to be the collectively coherent superposition of the photon and vibrons,the polariton induced significant enhancement of myelin permittivity,and the resonance of the polariton with the *** captured cell-VPs in myelin sheaths may provide a promising way for super-efficient consumption of extra-weak bioenergy and even directly serve for quantum *** findings further the understanding of nervous system operations at cellular level from the view of quantum mechanics.

关键词： cell polariton nerves myelin sheath quantum state

来源：评论

学校读者我要写书评

暂无评论

Realizing room-temperature ferromagnetism in metal-free graphene through vacancy-assisted hydrogenation

Chain

引用

Chain 2025年第1期2卷 72-80页

作者： Yongjie Xu Dingyi Yang Yu Zhang Gongkai Yuan Yici Zou Zhibo Zhang Yong Wang Yizhang Wu School of Education Jiangsu Open UniversityNanjing 210036China National Laboratory of Solid-State Microstructures Collaborative Innovation Center of Advanced Microstructuresand Jiangsu Provincial Key Laboratory for NanotechnologyNanjing UniversityNanjing 210093China Wide Bandgap Semiconductor Technology Disciplines State Key Laboratory School of MicroelectronicsAcademy of Advanced Interdisciplinary ResearchXidian UniversityXi’an 710071China Department of Physics Shaanxi University of Science and TechnologyXi’an 710021China Department of Applied Physical Sciences The University of North Carolina at Chapel HillChapel HillNC 27514USA Graduate School of Arts and Sciences Georgetown UniversityWashingtonDC 20057USA Department of Computer science and Engineering Michigan State UniversityEast LansingMI 48824USA Institute of Materials Engineering Nanjing UniversityNantong 226019China

Room-temperature ferromagnetism in graphene is a crucial step toward the practical application of spintronic *** hydrogen adsorption on graphene has been shown to induce magnetic moments,the overall efficiency remains low due to the clustering of hydrogen atoms and weak magnetic *** study demonstrates a highly effective vacancy-assisted hydrogenation method to synthesize hydrogenated graphene(HG)with robust room-temperature *** introduction of vacancies inhibits hydrogen clustering,increases magnetic edge atoms,and enhances the coupling between magnetic *** a result,HG exhibits a Curie temperature of 540 K and a saturation magnetization of 0.69 emu/g at 300 *** findings provide a new approach for the efficient hydrogenation of graphene,paving the way for its applications in spintronic devices.

关键词： graphene ferromagnetic hydrogenation vacancy-assisted room-temperature

来源：评论

学校读者我要写书评

暂无评论

Multi-Passive/Active-IRS Enhanced Wireless Coverage: Deployment Optimization and Cost-Performance Trade-off

arXiv

引用

arXiv 2023年

作者： Fu, Min Mei, Weidong Zhang, Rui The Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore The National Key Laboratory of Wireless Communications University of Electronic Science and Technology of China Chengdu611731 China School of Science and Engineering Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Guangdong Shenzhen518172 China

Both passive and active intelligent reflecting surfaces (IRSs) can be deployed in complex environments to enhance wireless network coverage by creating multiple blockage-free cascaded line-of-sight (LoS) links. In this paper, we study a multi-passive/active-IRS (PIRS/AIRS) aided wireless network with a multi-antenna base station (BS) in a given region. First, we divide the region into multiple non-overlapping cells, each of which may contain one candidate location that can be deployed with a single PIRS or AIRS. Then, we show several trade-offs between minimizing the total IRS deployment cost and enhancing the signal-to-noise ratio (SNR) performance over all cells via direct/cascaded LoS transmission with the BS. To reconcile these trade-offs, we formulate a joint multi-PIRS/AIRS deployment problem to select an optimal subset of all candidate locations for deploying IRS and also optimize the number of passive/active reflecting elements deployed at each selected location to satisfy a given SNR target over all cells, such that the total deployment cost is minimized. However, due to the combinatorial optimization involved, the formulated problem is difficult to be solved optimally. To tackle this difficulty, we first optimize the reflecting element numbers with given PIRS/AIRS deployed locations via sequential refinement, followed by a partial enumeration to determine the PIRS/AIRS locations. Simulation results show that our proposed algorithm achieves better cost-performance trade-offs than other baseline deployment strategies. © 2023, CC BY.

关键词： Location

来源：评论

学校读者我要写书评

暂无评论

Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification

arXiv

引用

arXiv 2023年

作者： Wang, Meng Gao, Feng Dong, Junyu Li, Heng-Chao Du, Qian The School of Information Science and Engineering Ocean University of China Qingdao266100 China The Sichuan Provincial Key Laboratory of Information Coding and Transmission Southwest Jiaotong University Chengdu610031 China The Department of Electrical and Computer Engineering Mississippi State University StarkvilleMS39762 United States

The joint hyperspectral image (HSI) and LiDAR data classification aims to interpret ground objects at more detailed and precise level. Although deep learning methods have shown remarkable success in the multisource data classification task, self-supervised learning has rarely been explored. It is commonly nontrivial to build a robust self-supervised learning model for multisource data classification, due to the fact that the semantic similarities of neighborhood regions are not exploited in existing contrastive learning framework. Furthermore, the heterogeneous gap induced by the inconsistent distribution of multisource data impedes the classification performance. To overcome these disadvantages, we propose a Nearest Neighbor-based Contrastive Learning Network (NNCNet), which takes full advantage of large amounts of unlabeled data to learn discriminative feature representations. Specifically, we propose a nearest neighbor-based data augmentation scheme to use enhanced semantic relationships among nearby regions. The intermodal semantic alignments can be captured more accurately. In addition, we design a bilinear attention module to exploit the second-order and even high-order feature interactions between the HSI and LiDAR data. Extensive experiments on four public datasets demonstrate the superiority of our NNCNet over state-of-the-art methods. The source codes are available at https://***/summitgao/NNCNet. © 2023, CC BY.

关键词： Image classification

来源：评论

学校读者我要写书评

暂无评论

An Enhanced Dual-Currency VCG Auction Mechanism for Resource Allocation in IoV: A Value of Information Perspective

arXiv

引用

arXiv 2025年

作者： Wang, Wei Cheng, Nan Zhou, Conghao Peng, Haixia Zhou, Haibo Su, Zhou Shen, Xuemin School of Telecommunications Engineering Xidian University Xi’an China State Key Laboratory of ISN School of Telecommunications Engineering Xidian University Xi’an China School of Information and Communications Engineering Xi’an Jiaotong University Xi’an China School of Electronic Science and Engineering Nanjing University Nanjing210023 China School of Cyber Science and Engineering Xi’an Jiaotong University Xi’an China Department of Electrical and Computer Engineering University of Waterloo WaterlooN2L 3G1 Canada

The Internet of Vehicles (IoV) is undergoing a transformative evolution, enabled by advancements in future 6G network technologies, to support intelligent, highly reliable, and low-latency vehicular services. However, the enhanced capabilities of loV have heightened the demands for efficient network resource allocation while simultaneously giving rise to diverse vehicular service requirements. For network service providers (NSPs), meeting the customized resource-slicing requirements of vehicle service providers (VSPs) while maximizing social welfare has become a significant challenge. This paper proposes an innovative solution by integrating a mean-field multi-agent reinforcement learning (MFMARL) framework with an enhanced Vickrey-Clarke-Groves (VCG) auction mechanism to address the problem of social welfare maximization under the condition of unknown VSP utility functions. The core of this solution is introducing the "value of information" as a novel monetary metric to estimate the expected benefits of VSPs, thereby ensuring the effective execution of the VCG auction mechanism. MFMARL is employed to optimize resource allocation for social welfare maximization while adapting to the intelligent and dynamic requirements of IoV. The proposed enhanced VCG auction mechanism not only protects the privacy of VSPs but also reduces the likelihood of collusion among VSPs, and it is theoretically proven to be dominant-strategy incentive compatible (DSIC). The simulation results demonstrate that, compared to the VCG mechanism implemented using quantization methods, the proposed mechanism exhibits significant advantages in convergence speed, social welfare maximization, and resistance to collusion, providing new insights into resource allocation in intelligent 6G networks. Copyright © 2025, The Authors. All rights reserved.

关键词： Network function virtualization

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：