检索结果-内蒙古大学图书馆

arXiv 2021年

作者： Hemmatyar, Omid Abdollahramezani, Sajjad Lepeshov, Sergey Krasnok, Alex Brown, Tyler Alù, Andrea Adibi, Ali School of Electrical and Computer Engineering Georgia Institute of Technology 778 Atlantic Drive NW AtlantaGA30332-0250 United States ITMO University St. Petersburg197101 Russia Photonics Initiative Advanced Science Research Center City University of New York New YorkNY10031 United States Physics Program Graduate Center City University of New York New YorkNY10016 United States

Structural colors generated due to light scattering from static all-dielectric metasurfaces have successfully enabled high-resolution, high-saturation and wide-gamut color printing applications. Despite recent advances, most demonstrations of these structure-dependent colors lack post-fabrication tunability that hinders their applicability for front-end dynamic display technologies. Phase-change materials (PCMs), with significant contrast of their optical properties between their amorphous and crystalline states, have demonstrated promising potentials in reconfigurable nanophotonics. Herein, we leverage a tunable all-dielectric reflective metasurface made of a newly emerged class of low-loss optical PCMs with superb characteristics, i.e., antimony trisulphide (Sb2S3), antimony triselenide (Sb2Se3), and binary germanium-doped selenide (GeSe3), to realize switchable, high-saturation, high-efficiency and high-resolution structural colors. Having polarization sensitive building blocks, the presented metasurface can generate two different colors when illuminated by two orthogonally polarized incident beams. Such degrees of freedom (i.e., structural state and polarization) enable a single reconfigurable metasurface with fixed geometrical parameters to generate four distinct wide-gamut colors suitable for a wide range of applications, including tunable full-color printing and displays, information encryption, and anti-counterfeiting. © 2021, CC BY.

关键词： Phase change materials

来源：评论

学校读者我要写书评

暂无评论

PREFACE

引用

Journal of Physics: Conference Series 2021年第1期2117卷 011001-011001页

作者： Nishida, Keiya Basu, Malabika Mahmud, Rizal Bici, Michele Syai'In, Mat Budianto, Agus Syamsuri Graduate School of Advanced Science and Engineering University of Hiroshima Japan School of Electrical and Electronic Engineering Technological University Dublin Ireland Institut Teknologi Adhi Tama Surabaya Indonesia Mechanical Engineering Department Sapienza University of Rome Italy Surabaya Shipbuilding State Polytechnic Indonesia

It is with great pleasure that I introduce the proceedings of the 3rd International Conference on Advance engineering and Technology (ICATECH 2021) is an international seminar organized by Institut Teknologi Adhi Tama Surabaya (ITATS). ITATS is private university located in Surabaya, East Java, Indonesia. The conference is held on October 2nd *** seminar has the main purpose to bring researcher and scholar to share their knowledge and experience in Computational Science, Environmental and Earth science, Applied Science and Technology, Chemical physics and physical chemistry, Renewable Energy and Integration electrical Science Material Physics, materials analysis, and characterization. The conference serves as an excellent opportunity to meet each other and to exchange ideas with theme of "Opportunities and Challenges for Research and Technology Enhancement in Post Covid-19 era".List of Editor, Special Thanks To Our Keynote Speaker, Organizing Committee, Scientific Commiittee are available in this pdf.

关键词：

来源：评论

学校读者我要写书评

暂无评论

The Effect of Noise onto HHT Features for Face Milling Cutter Condition Monitoring

引用

Journal of Physics: Conference Series 2021年第1期1845卷

作者： A. C. Arifin A. Susanto K. Yamada M. Azka M D Prasetio M Abdillah Automotive Engineering State Polytechnic of Madiun Indonesia Railway Engineering State Polytechnic of Madiun Indonesia Graduate School of Engineering Hiroshima University Higashi-Hiroshima Japan Centre for Machinery Industry Technology Agency for the Assessment and Application of Technology (BPPT) Jakarta Industrial Engineering Telkom University Bandung Indonesia Electrical Engineering Pertamina University Jakarta Indonesia

In face milling process of train wheel, cutter is one of the most important part and this part should be monitored from failure phenomena for improving final products of train wheel during machining process. One of the best ways for face milling tool condition monitoring is by analyzing signal. However, noise usually contaminates the measured signals during measurement using any sensors. This study presents the effect of noise on the Hilbert-Huang transform features for face milling condition monitoring by mean analyzing the synthetic vibration signals. First, noisy synthetic signals were created, then separates them by Empirical Mode Decomposition (EMD) to be intrinsic mode decompositions (IMFs). Second, the Hilbert-Huang spectra were generated and then compared to HHT baseline spectrum. The result showed that the noise disturbed the HHT spectrum. Without filtering signal, the face milling cutter condition phenomenon was difficult to be revealed by HHT.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Magnetic Control of Soft Chiral Phonons in PbTe

引用

Physical Review Letters 2022年第7期128卷 075901-075901页

作者： Andrey Baydin Felix G. G. Hernandez Martin Rodriguez-Vega Anderson K. Okazaki Fuyang Tay G. Timothy Noe, II Ikufumi Katayama Jun Takeda Hiroyuki Nojiri Paulo H. O. Rappl Eduardo Abramof Gregory A. Fiete Junichiro Kono Department of Electrical and Computer Engineering Rice University Houston Texas 77005 USA Smalley-Curl Institute Rice University Houston Texas 77005 USA Instituto de Física Universidade de São Paulo São Paulo São Paulo 05508-090 Brazil Theoretical Division Los Alamos National Laboratory Los Alamos New Mexico 87545 USA Laboratório Associado de Sensores e Materiais Instituto Nacional de Pesquisas Espaciais São José dos Campos São Paulo 12201-970 Brazil Applied Physics Graduate Program Smalley-Curl Institute Rice University Houston Texas 77005 USA Department of Physics Graduate School of Engineering Science Yokohama National University Yokohama 240-8501 Japan Institute for Materials Research Tohoku University Sendai 980-8577 Japan Department of Physics Northeastern University Boston Massachusetts 02115 USA Department of Physics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Physics and Astronomy Rice University Houston Texas 77005 USA Department of Material Science and NanoEngineering Rice University Houston Texas 77005 USA

PbTe crystals have a soft transverse optical phonon mode in the terahertz frequency range, which is known to efficiently decay into heat-carrying acoustic phonons, resulting in anomalously low thermal conductivity. Here, we studied this phonon via polarization-dependent terahertz spectroscopy. We observed softening of this mode with decreasing temperature, indicative of incipient ferroelectricity, which we explain through a model including strong anharmonicity with a quartic displacement term. In magnetic fields up to 25 T, the phonon mode splits into two modes with opposite handedness, exhibiting circular dichroism. Their frequencies display Zeeman splitting together with an overall diamagnetic shift with increasing magnetic field. Using a group-theoretical approach, we demonstrate that these observations are the result of magnetic field-induced morphic changes in the crystal symmetries through the Lorentz force exerted on the lattice ions. Thus, our Letter reveals a novel process of controlling phonon properties in a soft ionic lattice by a strong magnetic field.

关键词： Chirality Diamagnetism Magneto-dielectric effect Optical phonons Thermal conductivity Zeeman effect Terahertz time-domain spectroscopy

来源：评论

学校读者我要写书评

暂无评论

Roadmap on Nonlocality in Photonic Materials and Metamaterials

arXiv

引用

arXiv 2025年

作者： Monticone, Francesco Mortensen, N. Asger Fernández-Domínguez, Antonio I. Luo, Yu Tserkezis, Christos Khurgin, Jacob B. Shahbazyan, Tigran V. Chaves, André J. Peres, Nuno M.R. Wegner, Gino Busch, Kurt Hu, Huatian della Sala, Fabio Zhang, Pu Ciracì, Cristian Aizpurua, Javier Babaze, Antton Borisov, Andrei G. Chen, Xue-Wen Christensen, Thomas Yan, Wei Yang, Yi Hohenester, Ulrich Huber, Lorenz Wubs, Martijn de Liberato, Simone Gonçalves, P.A.D. de Abajo, F. Javier García Hess, Ortwin Tarasenko, Illya Cox, Joel D. Jelver, Line Dias, Eduardo J.C. Sánchez, Miguel Sánchez Margetis, Dionisios Gómez-Santos, Guillermo Stauber, Tobias Tretyakov, Sergei Simovski, Constantin Pakniyat, Samaneh Gómez-Díaz, J. Sebastián Bondarev, Igor V. Biehs, Svend-Age Boltasseva, Alexandra Shalaev, Vladimir M. Krasavin, Alexey V. Zayats, Anatoly V. Alù, Andrea Song, Jung-Hwan Brongersma, Mark L. Levy, Uriel Long, Olivia Y. Guo, Cheng Fan, Shanhui Bozhevolnyi, Sergey I. Overvig, Adam Prudêncio, Filipa R. Silveirinha, Mário G. Gangaraj, S. Ali Hassani Argyropoulos, Christos Huidobro, Paloma A. Galiffi, Emanuele Yang, Fan Pendry, John B. Miller, David A.B. School of Electrical and Computer Engineering Cornell University IthacaNY14853 United States POLIMA Center for Polariton-driven Light–Matter Interactions University of Southern Denmark Campusvej 55 Odense MDK-5230 Denmark D-IAS—Danish Institute for Advanced Study University of Southern Denmark Campusvej 55 Odense MDK-5230 Denmark Departamento de Física Teórica de la Materia Condensada Universidad Autónoma de Madrid MadridE-28049 Spain Universidad Autónoma de Madrid MadridE-28049 Spain School of Electrical and Electronic Engineering Nanyang Technological University Singapore639798 Singapore Key Laboratory of Radar Imaging and Microwave Photonics Ministry of Education College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing211106 China Department of Electrical and Computer Engineering Johns Hopkins University BaltimoreMD21218 United States Department of Physics Jackson State University JacksonMS39217 United States Department of Physics Aeronautics Institute of Technology SP So Jos dos Campos12228-900 Brazil Departamento de Física Universidade do Minho BragaP-4710-057 Portugal Av Mestre José Veiga Braga4715-330 Portugal Max-Born-Institut Berlin12489 Germany Humboldt-Universität zu Berlin Institut für Physik AG Theoretische Optik and Photonik Berlin12489 Germany Center for Biomolecular Nanotechnologies Istituto Italiano di Tecnologia Via Barsanti 14 Arnesano73010 Italy Via Monteroni Campus Unisalento Lecce73100 Italy School of physics Huazhong University of Science and Technology Luoyu Road 1037 Wuhan430074 China Donostia International Physics Center DIPC Donostia-San Sebastián20018 Spain Ikerbasque Basque Foundation for Science Bilbao48009 Spain Department of Electricity and Electronics University of the Basque Country Leioa48940 Spain Department of Applied Physics University of the Basque Country Donostia20018 Spain Université Paris-Saclay CNRS Institut des Scienc

Photonic technologies continue to drive the quest for new optical materials with unprecedented responses. A major frontier in this field is the exploration of nonlocal (spatially dispersive) materials, going beyond the local, wavevector-independent assumption traditionally made in optical material modeling. On one end, the growing interest in plasmonic, polaritonic and quantum materials has revealed naturally occurring nonlocalities, emphasizing the need for more accurate models to predict and design their optical responses. This has major implications also for topological, nonreciprocal, and time-varying systems based on these material platforms. Beyond natural materials, artificially structured materials—metamaterials and metasurfaces–can provide even stronger and engineered nonlocal effects, emerging from long-range interactions or multipolar effects. This is a rapidly expanding area in the field of photonic metamaterials, with open frontiers yet to be explored. In the case of metasurfaces, in particular, nonlocality engineering has become a powerful tool for designing strongly wavevector-dependent responses, enabling enhanced wavefront control, spatial compression, multifunctional devices, and wave-based computing. Furthermore, nonlocality and related concepts play a critical role in defining the ultimate limits of what is possible in optics, photonics, and wave physics. This Roadmap aims to survey the most exciting developments in nonlocal photonic materials, highlight new opportunities and open challenges, and chart new pathways that will drive this emerging field forward–toward new scientific discoveries and technological advancements. Copyright © 2025, The Authors. All rights reserved.

关键词： Nanocrystals

来源：评论

学校读者我要写书评

暂无评论

An efficient and secure range query scheme for encrypted data in smart grid 1

引用

13th International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2017

作者： Zeng, Xiaoli Hu, Min Yu, Nuo Jia, Xiaohua Harbin Institute of Technology Shenzhen Graduate School Shenzhen518055 China School of Electrical Engineering Anhui Polytechnic University Wuhu241000 China

ISBN: (数字)9789811088902

ISBN: (纸本)9789811088896

In smart grid information systems, the electricity usage data should be audited by data users, such as the market analysts to finish their tasks. Besides that, electricity company always outsources the data to the cloud server (CS) to release its data management pressure. Since the CS is untrusted and the detailed electricity usage data contains users’ privacy, the privacy concern of the data and data users’ queries is raised. Although many schemes have been proposed to achieve the encrypted data query in smart grid, they are not applied well due to the numeric attributes in electricity usage data and privacy concern in smart grid application. In this paper, we provide an efficient privacy-preserving scheme for range query in smart grid. Our scheme achieves the range query without disclosing the privacy of the data and queries. And the performance shows that our scheme can reduce the computation cost for both the data owner and data users, and shorten the response time of every query, which is great significance for smart grid application. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Smart power grids

来源：评论

学校读者我要写书评

暂无评论

Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics

arXiv

引用

arXiv 2022年

作者： Rizvi, Syed Awasthi, Akash Peláez, Maria J. Wang, Zhihui Cristini, Vittorio Van Nguyen, Hien Dogra, Prashant Department of Electrical and Computer Engineering University of Houston HoustonTX77004 United States Mathematics in Medicine Program Department of Medicine Houston Methodist Research Institute HoustonTX77030 United States Department of Physiology and Biophysics Weill Cornell Medical College New YorkNY10065 United States Neal Cancer Center Houston Methodist Research Institute HoustonTX77030 United States Department of Imaging Physics The University of Texas M.D. Anderson Cancer Center HoustonTX77230 United States Physiology Biophysics and Systems Biology Program Graduate School of Medical Sciences Weill Cornell Medicine New YorkNY10065 United States Research in Physiology and Biophysics Department of Physiology and Biophysics Weill Cornell Medical College New YorkNY United States

The COVID-19 pandemic has affected countries across the world, demanding drastic public health policies to mitigate the spread of infection, leading to economic crisis as a collateral damage. In this work, we investigated the impact of human mobility (described via international commercial flights) on COVID-19 infection dynamics at the global scale. For this, we developed a graph neural network-based framework referred to as Dynamic Connectivity GraphSAGE (DCSAGE), which operates over spatiotemporal graphs and is well-suited for dynamically changing adjacency information. To obtain insights on the relative impact of different geographical locations, due to their associated air traffic, on the evolution of the pandemic, we conducted local sensitivity analysis on our model through node perturbation experiments. From our analyses, we identified Western Europe, North America, and Middle East as the leading geographical locations fueling the pandemic, attributed to the enormity of air traffic originating or transiting through these regions. We used these observations to identify tangible air traffic reduction strategies that can have a high impact on controlling the pandemic, with minimal interference to human mobility. Our work provides a robust deep learning-based tool to study global pandemics and is of key relevance to policy makers to take informed decisions regarding air traffic restrictions during future outbreaks. © 2022, CC BY-NC-SA.

关键词： COVID-19

来源：评论

学校读者我要写书评

暂无评论

Control of brain network dynamics across diverse scales of space and time

引用

Physical Review E 2020年第6期101卷 062301-062301页

作者： Evelyn Tang Harang Ju Graham L. Baum David R. Roalf Theodore D. Satterthwaite Fabio Pasqualetti Danielle S. Bassett Department of Bioengineering School of Engineering & Applied Science University of Pennsylvania Pennsylvania 19104 USA Max Planck Institute for Dynamics and Self-Organization Göttingen 37079 Germany Neuroscience Graduate Program Perelman School of Medicine University of Pennsylvania Pennsylvania 19104 USA Department of Psychiatry Perelman School of Medicine University of Pennsylvania Pennsylvania 19104 USA Department of Mechanical Engineering University of California Riverside Riverside California 92521 USA Department of Physics & Astronomy College of Arts & Sciences University of Pennsylvania Pennsylvania 19104 USA Department of Electrical & Systems Engineering School of Engineering & Applied Science University of Pennsylvania Pennsylvania 19104 USA Department of Neurology Perelman School of Medicine University of Pennsylvania Pennsylvania 19104 USA Santa Fe Institute Santa Fe New Mexico 87501 USA

The human brain is composed of distinct regions that are each associated with particular functions and distinct propensities for the control of neural dynamics. However, the relation between these functions and control profiles is poorly understood, as is the variation in this relation across diverse scales of space and time. Here we probe the relation between control and dynamics in brain networks constructed from diffusion tensor imaging data in a large community sample of young adults. Specifically, we probe the control properties of each brain region and investigate their relationship with dynamics across various spatial scales using the Laplacian eigenspectrum. In addition, through analysis of regional modal controllability and partitioning of modes, we determine whether the associated dynamics are fast or slow, as well as whether they are alternating or monotone. We find that brain regions that facilitate the control of energetically easy transitions are associated with activity on short length scales and slow timescales. Conversely, brain regions that facilitate control of difficult transitions are associated with activity on long length scales and fast timescales. Built on linear dynamical models, our results offer parsimonious explanations for the activity propagation and network control profiles supported by regions of differing neuroanatomical structure.

关键词： Network diffusion Synchronization Brain network Magnetic resonance imaging

来源：评论

学校读者我要写书评

暂无评论

Coherent Perfect Absorption in Chaotic Optical Microresonators for Efficient Modal Control

arXiv

引用

arXiv 2022年

作者： Jiang, Xuefeng Yin, Shixiong Li, Huanan Quan, Jiamin Cotrufo, Michele Kullig, Julius Wiersig, Jan Alù, Andrea Photonics Initiative Advanced Science Research Center The City University of New York 85 St. Nicholas Terrace New York10031 United States Department of Electrical Engineering City College The City University of New York 160 Convent Avenue New York10031 United States MOE Key Laboratory of Weak-Light Nonlinear Photonics School of Physics Nankai University Tianjin300071 China Institut für Physik Otto-von-Guericke-Universität Magdeburg Postfach 4120 MagdeburgD-39016 Germany Physics Program The Graduate Center The City University of New York 365 Fifth Avenue New York10016 United States

Non-Hermitian wave engineering has attracted a surge of interest in photonics in recent years. One of the prominent phenomena is coherent perfect absorption (CPA), in which the annihilation of electromagnetic scattering occurs by destructive interference of multiple incident waves. This concept has been implemented in various platforms to demonstrate real-time control of absorption, scattering and radiation by varying the relative phase of the excitation signals. However, so far these studies have been limited to simple photonic systems involving single or few modes at well-defined resonant frequencies. Realizing CPA in more complex photonic systems is challenging because it typically requires engineering the interplay of a large number of resonances featuring large spatial complexity within a narrow frequency range. Here, we extend the paradigm of coherent control of light to a complex photonic system involving more than 1,000 optical modes in a chaotic microresonator. We efficiently model the optical fields within a quasi-normal mode (QNM) expansion, and experimentally demonstrate chaotic CPA states, as well as their non-Hermitian degeneracies, which we leverage to efficiently control the cavity excitation through the input phases of multiple excitation channels. Our results shed light on the universality of non-Hermitian physics beyond simple resonant systems, paving the way for new opportunities in the science and technology of complex nanophotonic systems by chaotic wave interference. Copyright © 2022, The Authors. All rights reserved.

关键词： Real time control

来源：评论

学校读者我要写书评

暂无评论

Study on estimating electric potential in space between parallel electrodes

引用

IEEJ Transactions on Fundamentals and Materials 2018年第8期138卷 400-407页

作者： Tsujita, Atsushi Ohchi, Masashi Wakimoto, Takayuki Master's Program in Electrical Electronics and Computer Engineering Graduate School of Engineering Chiba Institute of Technology 2-17-1 Tudanuma Narashino275-0016 Japan Department of Electrical and Electronic Engineering Faculty of Engineering Chiba Institute of Technology 2-17-1 Tudanuma Narashino275-0016 Japan

We have been studying on estimating distribution of permittivity between measurement electrodes using capacitance and electric potential. Two arc electrodes were separated by long distance and there electrodes were surrounded by additional electrodes respectively. In past research work, we carried out numerical electric analysis for calculating the capacitance and electric potential using Finite Element Method(FEM) and compared with experimental and numerical results. The capacitance values were almost agree with experimental and numerical results. However, the electric potential values were different between experimental and numerical results in conventional studies. In this paper, we proposed an equivalent circuit including the stray capacity and measurement method for capacitance, the electric potential in space between long distance electrodes was estimeded. © 2018 The Institute of electrical Engineers of Japan.

关键词： Electric potential

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：