检索结果-内蒙古大学图书馆

arXiv 2018年

作者： Smolyaninova, Vera N. Lynn, Jeffrey W. Butch, Nicholas P. Chen-Mayer, Heather Prestigiacomo, Joseph C. Osofsky, M.S. Smolyaninov, Igor I. Department of Physics Astronomy and Geosciences Towson University 8000 York Rd TowsonMD21252 United States Nist Center for Neutron Research National Institute of Standards and Technology 100 Bureau Drive GaithersburgMD20899-6102 United States Naval Research Laboratory WashingtonDC20375 United States Department of Electrical and Computer Engineering University of Maryland College ParkMD20742 United States Saltenna Llc 1751 Pinnacle Drive #600 McLeanVA22102 United States

A metamaterial approach is capable of drastically increasing the critical temperature, Tc, of composite metal-dielectric superconductors as demonstrated by the tripling of Tc that was observed in bulk Al-Al2O3core-shell metamaterials. A theoretical model based on the Maxwell-Garnett approximation provides a microscopic explanation of this effect in terms of electron-electron pairing mediated by a hybrid plasmon-phonon excitation. We report the first observation of this excitation in Al-Al2O3core-shell metamaterials using inelastic neutron scattering. This result provides support for this novel mechanism of superconductivity in metamaterials. Copyright © 2018, The Authors. All rights reserved.

关键词： Phonons

来源：评论

学校读者我要写书评

暂无评论

Quantum coherent control of a hybrid superconducting circuit made with graphene-based van der Waals heterostructures

arXiv

引用

arXiv 2018年

作者： Jan Wang, Joel I. Rodan-Legrain, Daniel Bretheau, Landry Campbell, Daniel L. Kannan, Bharath Kim, David Kjaergaard, Morten Krantz, Philip Samach, Gabriel O. Yan, Fei Yoder, Jonilyn L. Watanabe, Kenji Taniguchi, Takashi Orlando, Terry P. Gustavsson, Simon Jarillo-Herrero, Pablo Oliver, William D. Research Laboratory of Electronics Massachusetts Institute of Technology CambridgeMA02139 United States Department of Physics Massachusetts Institute of Technology CambridgeMA02139 United States Laboratoire des Solides Irradiés Ecole Polytechnique CNRS CEA Palaiseau91128 France Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States Lincoln Laboratory 244 Wood Street LexingtonMA02421 United States Advanced Materials Laboratory National Institute for Materials Science 1-1 Namiki Tsukuba305-0044 Japan

Quantum coherence and control is foundational to the science and engineering of quantum systems1,2. In van der Waals (vdW) materials, the collective coherent behavior of carriers has been probed successfully by transport measurements3–6. However, temporal coherence and control, as exemplified by manipulating a single quantum degree of freedom, remains to be verified. Here we demonstrate such coherence and control of a superconducting circuit incorporating graphene-based Josephson junctions. Furthermore, we show that this device can be operated as a voltage-tunable transmon qubit7–9, whose spectrum reflects the electronic properties of massless Dirac fermions traveling ballistically4,5. In addition to the potential for advancing extensible quantum computing technology, our results represent a new approach to studying vdW materials using microwave photons in coherent quantum circuits. Copyright © 2018, The Authors. All rights reserved.

关键词： Graphene

来源：评论

学校读者我要写书评

暂无评论

Nanoscale compositional evolution in complex oxide based resistive memories

arXiv

引用

arXiv 2018年

作者： Ahmed, Taimur Walia, Sumeet Mayes, Edwin L.H. Ramanathan, Rajesh Guagliardo, Paul Bansal, Vipul Bhaskaran, Madhu Yang, J. Joshua Sriram, Sharath Functional Materials and Microsystems Research Group and Micro Nano Research Facility RMIT University MelbourneVIC3001 Australia RMIT Microscopy and Microanalysis Facility RMIT University MelbourneVIC3001 Australia Ian Potter NanoBioSensing Facility NanoBiotechnology Research Laboratory School of Science RMIT University MelbourneVIC3001 Australia Centre for Microscopy Characterisation and Analysis University of Western Australia PerthWA6009 Australia Department of Electrical and Computer Engineering University of Massachusetts AmherstMA01003 United States

Functional oxides based resistive memories are recognized as potential candidate for the next-generation high density data storage and neuromorphic applications. Fundamental understanding of the compositional changes in the functional oxides is required to tune the resistive switching characteristics for enhanced memory performance. Herein, we present the micro/nano-structural and compositional changes induced in a resistive oxide memory during resistive switching. Oxygen deficient amorphous chromium doped strontium titanate (Cr:a-SrTiO3−x) based resistance change memories are fabricated in a Ti/Cr:a-SrTiO3−x heterostructure and subjected to different biasing conditions to set memory states. Transmission electron microscope based cross-sectional analyses of the memory devices in different memory states shows that the micro/nano-structural changes in amorphous complex oxide and associated redox processes define the resistive switching behavior. These experimental results provide insights and supporting material for Ref. [1]. Copyright © 2018, The Authors. All rights reserved.

关键词： Transmission electron microscopy

来源：评论

学校读者我要写书评

暂无评论

Authorship Correction: International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study

引用

Journal of medical Internet research 2021年第11期23卷 e34625页

作者： Griffin M Weber Harrison G Zhang Sehi L'Yi Clara-Lea Bonzel Chuan Hong Paul Avillach Alba Gutiérrez-Sacristán Nathan P Palmer Amelia Li Min Tan Xuan Wang William Yuan Nils Gehlenborg Anna Alloni Danilo F Amendola Antonio Bellasi Riccardo Bellazzi Michele Beraghi Mauro Bucalo Luca Chiovato Kelly Cho Arianna Dagliati Hossein Estiri Robert W Follett Noelia García Barrio David A Hanauer Darren W Henderson Yuk-Lam Ho John H Holmes Meghan R Hutch Ramakanth Kavuluru Katie Kirchoff Jeffrey G Klann Ashok K Krishnamurthy Trang T Le Molei Liu Ne Hooi Will Loh Sara Lozano-Zahonero Yuan Luo Sarah Maidlow Adeline Makoudjou Alberto Malovini Marcelo Roberto Martins Bertrand Moal Michele Morris Danielle L Mowery Shawn N Murphy Antoine Neuraz Kee Yuan Ngiam Marina P Okoshi Gilbert S Omenn Lav P Patel Miguel Pedrera Jiménez Robson A Prudente Malarkodi Jebathilagam Samayamuthu Fernando J Sanz Vidorreta Emily R Schriver Petra Schubert Pablo Serrano Balazote Byorn Wl Tan Suzana E Tanni Valentina Tibollo Shyam Visweswaran Kavishwar B Wagholikar Zongqi Xia Daniela Zöller Isaac S Kohane Tianxi Cai Andrew M South Gabriel A Brat Department of Biomedical Informatics Harvard Medical School Boston MA United States. BIOMERIS (BIOMedical Research Informatics Solutions) Pavia Italy. Clinical Research Unit Botucatu Medical School São Paulo State University Botucatu Brazil. Division of Nephrology Department of Medicine Ente Ospedaliero Cantonale Lugano Switzerland. Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy. Information Technology Department Azienda Socio-Sanitaria Territoriale di Pavia Pavia Italy. Unit of Internal Medicine and Endocrinology Istituti Clinici Scientifici Maugeri SpA SB IRCCS Pavia Italy. Massachusetts Veterans Epidemiology Research and Information Center Veterans Affairs Boston Healthcare System Boston MA United States. Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy. Department of Medicine Massachusetts General Hospital Boston MA United States. Department of Medicine David Geffen School of Medicine University of California Los Angeles Los Angeles CA United States. Health Informatics Hospital Universitario 12 de Octubre Madrid Spain. Department of Learning Health Sciences University of Michigan Medical School Ann Arbor MI United States. Department of Biomedical Informatics University of Kentucky Lexington KY United States. Department of Biostatistics Epidemiology and Informatics University of Pennsylvania Perelman School of Medicine Philadelphia PA United States. Institute for Biomedical Informatics University of Pennsylvania Perelman School of Medicine Philadelphia PA United States. Department of Preventive Medicine Northwestern University Chicago IL United States. Institute for Biomedical Informatics University of Kentucky Lexington KY United States. Medical University of South Carolina Charleston SC United States. Department of Computer Science Renaissance Computing Institute University of North Carolina at Chapel Hill Chapel Hill NC United States. Departm

[This corrects the article DOI: 10.2196/31400.].

关键词：

来源：评论

学校读者我要写书评

暂无评论

Search for low-mass dark matter with CDMSlite using a profile likelihood fit

引用

Physical Review D 2019年第6期99卷 062001-062001页

作者： R. Agnese T. Aralis T. Aramaki I. J. Arnquist E. Azadbakht W. Baker S. Banik D. Barker D. A. Bauer T. Binder M. A. Bowles P. L. Brink R. Bunker B. Cabrera R. Calkins R. A. Cameron C. Cartaro D. G. Cerdeño Y.-Y. Chang J. Cooley B. Cornell P. Cushman F. De Brienne T. Doughty E. Fascione E. Figueroa-Feliciano C. W. Fink M. Fritts G. Gerbier R. Germond M. Ghaith S. R. Golwala H. R. Harris N. Herbert Z. Hong E. W. Hoppe L. Hsu M. E. Huber V. Iyer D. Jardin A. Jastram C. Jena M. H. Kelsey A. Kennedy A. Kubik N. A. Kurinsky R. E. Lawrence B. Loer E. Lopez Asamar P. Lukens D. MacDonell R. Mahapatra V. Mandic N. Mast E. Miller N. Mirabolfathi B. Mohanty J. D. Morales Mendoza J. Nelson H. Neog J. L. Orrell S. M. Oser W. A. Page R. Partridge M. Pepin F. Ponce S. Poudel M. Pyle H. Qiu W. Rau A. Reisetter R. Ren T. Reynolds A. Roberts A. E. Robinson H. E. Rogers T. Saab B. Sadoulet J. Sander A. Scarff R. W. Schnee S. Scorza K. Senapati B. Serfass D. Speller C. Stanford M. Stein J. Street H. A. Tanaka D. Toback R. Underwood A. N. Villano B. von Krosigk S. L. Watkins J. S. Wilson M. J. Wilson J. Winchell D. H. Wright S. Yellin B. A. Young X. Zhang X. Zhao Department of Physics University of Florida Gainesville Florida 32611 USA Division of Physics Mathematics & Astronomy California Institute of Technology Pasadena California 91125 USA SLAC National Accelerator Laboratory/Kavli Institute for Particle Astrophysics and Cosmology Menlo Park California 94025 USA Pacific Northwest National Laboratory Richland Washington 99352 USA Department of Physics and Astronomy and the Mitchell Institute for Fundamental Physics and Astronomy Texas A&M University College Station Texas 77843 USA School of Physical Sciences National Institute of Science Education and Research HBNI Jatni 752050 India School of Physics & Astronomy University of Minnesota Minneapolis Minnesota 55455 USA Fermi National Accelerator Laboratory Batavia Illinois 60510 USA Department of Physics University of South Dakota Vermillion South Dakota 57069 USA Department of Physics South Dakota School of Mines and Technology Rapid City South Dakota 57701 USA Department of Physics Stanford University Stanford California 94305 USA Department of Physics Southern Methodist University Dallas Texas 75275 USA Department of Physics Durham University Durham DH1 3LE United Kingdom Instituto de Física Teórica UAM/CSIC Universidad Autónoma de Madrid 28049 Madrid Spain Département de Physique Université de Montréal Montréal Québec H3C 3J7 Canada Department of Physics University of California Berkeley California 94720 USA Department of Physics Queen’s University Kingston Ontario K7L 3N6 Canada Department of Physics & Astronomy Northwestern University Evanston Illinois 60208-3112 USA Department of Electrical and Computer Engineering Texas A&M University College Station Texas 77843 USA Department of Physics University of Colorado Denver Denver Colorado 80217 USA Department of Electrical Engineering University of Colorado Denver Denver Colorado 80217 USA Department of Physics & Astronomy University of British Columbia Vancouver British Columbia V6T 1

The Cryogenic Dark Matter Search low ionization threshold experiment (CDMSlite) searches for interactions between dark matter particles and germanium nuclei in cryogenic detectors. The experiment has achieved a low energy threshold with improved sensitivity to low-mass (<10 GeV/c2) dark matter particles. We present an analysis of the final CDMSlite dataset, taken with a different detector than was used for the two previous CDMSlite datasets. This analysis includes a data “salting” method to protect against bias, improved noise discrimination, background modeling, and the use of profile likelihood methods to search for a dark matter signal in the presence of backgrounds. We achieve an energy threshold of 70 eV and significantly improve the sensitivity for dark matter particles with masses between 2.5 and 10 GeV/c2 compared to previous analyses. We set an upper limit on the dark matter-nucleon scattering cross section in germanium of 5.4×10−42 cm2 at 5 GeV/c2, a factor of ∼2.5 improvement over the previous CDMSlite result.

关键词： Dark matter Particle dark matter

来源：评论

学校读者我要写书评

暂无评论

Neuromatch academy: Teaching computational neuroscience with global accessibility

arXiv

引用

arXiv 2020年

作者： van Viegen, Tara Akrami, Athena Bonnen, Kate DeWitt, Eric Hyafil, Alexandre Ledmyr, Helena Lindsay, Grace W. Mineault, Patrick Murray, John D. Pitkow, Xaq Puce, Aina Sedigh-Sarvestani, Madineh Stringer, Carsen Achakulvisut, Titipat Alikarami, Elnaz Atay, Melvin Selim Batty, Eleanor Erlich, Jeffrey C. Galbraith, Byron V. Guo, Yueqi Juavinett, Ashley L. Krause, Matthew R. Li, Songting Pachitariu, Marius Straley, Elizabeth Valeriani, Davide Vaughan, Emma Vaziri-Pashkam, Maryam Waskom, Michael L. Blohm, Gunnar Kording, Konrad Schrater, Paul Wyble, Brad Escola, Sean Peters, Megan A.K. Princeton Neuroscience Institute Princeton University PrincetonNJ United States Sainsbury Wellcome Centre University College London London United Kingdom Center for Neural Science New York University New York CityNY United States Champalimaud Research Champalimaud Foundation Lisbon Portugal Centre de Recerca Matemàtica Bellaterra Universitat Autònoma de Barcelona Barcelona Spain International Neuroinformatics Coordinating Facility Sweden Gatsby Computational Neuroscience Unit Sainsbury Wellcome Centre University College London London United Kingdom Department of Psychiatry Yale University New HavenCT United States Baylor College of Medicine Dept. of Neuroscience HoustonTX United States Baylor College of Medicine Center for Neuroscience and Artificial Intelligence HoustonTX United States Rice University Dept of Electrical and Computer Engineering HoustonTX United States Psychological & Brain Sciences Indiana University BloomingtonIN United States Max Planck Florida Institute for Neuroscience JupiterFL United States HHMI Janelia Research Campus AshburnVA United States University of Pennsylvania Dept of Neuroscience and Bioengineering PhiladelphiaPA United States Faculty of dentistry McGill University MontrealQB Canada Middle East Technical University Ankara Turkey Department of Neurobiology Harvard University CambridgeMA United States New York University Shanghai Shanghai China Talla Inc BostonMA United States Johns Hopkins University Department of Biomedical Engineering BaltimoreMD United States Division of Biological Sciences UC San Diego San diegoCA United States Montreal Neurological Institute McGill University MontrealQB Canada School of Mathematical Sciences MOE-LSC Institute of Natural Sciences Shanghai Jiao Tong University Shanghai China Department of Otolaryngology - Head & Neck Surgery Massachusetts Eye and Ear BostonMA United States Department of Otolaryngology - Head & Neck Surgery Harvard Medical School BostonM

Neuromatch Academy designed and ran a fully online 3-week Computational Neuroscience summer school for 1757 students with 191 teaching assistants working in virtual inverted (or flipped) classrooms and on small group projects. Fourteen languages, active community management, and low cost allowed for an unprecedented level of inclusivity and universal accessibility. © 2020, CC BY.

关键词： Python

来源：评论

学校读者我要写书评

暂无评论

Publisher Correction: The default network of the human brain is associated with perceived social isolation

引用

Nature communications 2021年第1期12卷 3202页

作者： R Nathan Spreng Emile Dimas Laetitia Mwilambwe-Tshilobo Alain Dagher Philipp Koellinger Gideon Nave Anthony Ong Julius M Kernbach Thomas V Wiecki Tian Ge Yue Li Avram J Holmes B T Thomas Yeo Gary R Turner Robin I M Dunbar Danilo Bzdok Laboratory of Brain and Cognition Montreal Neurological Institute Department of Neurology and Neurosurgery Faculty of Medicine McGill University Montreal QC Canada. nathan.spreng@***. Departments of Psychiatry and Psychology McGill University Montreal QC Canada. nathan.spreng@***. Douglas Mental Health University Institute Verdun QC HRH 1R3 Canada. nathan.spreng@***. McConnell Brain Imaging Centre Montreal Neurological Institute (MNI) McGill University Montreal QC Canada. nathan.spreng@***. Department of Biomedical Engineering Faculty of Medicine McGill University Montreal QC Canada. Laboratory of Brain and Cognition Montreal Neurological Institute Department of Neurology and Neurosurgery Faculty of Medicine McGill University Montreal QC Canada. McConnell Brain Imaging Centre Montreal Neurological Institute (MNI) McGill University Montreal QC Canada. School of Business and Economics Vrije Universiteit Amsterdam Amsterdam The Netherlands. Marketing Department the Wharton School University of Pennsylvania Pennsylvania PA USA. Department of Human Development Cornell University Ithaca NY USA. Division of Geriatrics and Palliative Medicine Weill Cornell Medical College New York NY USA. Department of Neurosurgery Neurosurgical Artificial Intelligence Laboratory Aachen (NAILA) RWTH Aachen University Hospital Aachen Germany. Quantopian Inc. Boston MA USA. Psychiatric and Neurodevelopmental Genetics Unit Center for Genomic Medicine Massachusetts General Hospital Boston MA 02114 USA. Department of Psychiatry Massachusetts General Hospital Harvard Medical School Boston MA 02114 USA. Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Charlestown MA 02129 USA. Stanley Center for Psychiatric Research Broad Institute of MIT and Harvard Cambridge MA 02138 USA. School of Computer Science McGill University Montreal QC Canada. Departments of Psychology and Psychiatry Yale University New Haven CA 06520 USA. Depa

来源：评论

学校读者我要写书评

暂无评论

Physics-Based Image Reconstruction of SiC Grain Boundaries

引用

Microscopy and Microanalysis 2017年第S1期23卷 188-189页

作者： Ziabari, Amirkoushyar Bouman, Charles A Rickman, Jeffrey M Simmons, Jeff P Electrical and Computer Engineering (ECE) Purdue University West Lafayette IN USA Department of Material Science and Engineering Lehigh University Bethlehem PA USA Air Force Research Laboratory Wright-Patterson AFB OH USA

来源：评论

学校读者我要写书评

暂无评论

Development of a novel web application for automatic photovoltaic system performance analysis and fault identification 44

Development of a novel web application for automatic photovo...

引用

44th IEEE Photovoltaic Specialist Conference, PVSC 2017

作者： Phinikarides, Alexander Shimitra, Christiana Bourgeon, Robin Koumparou, Ioannis Makrides, George Georghiou, George E. FOSS Research Centre for Sustainable Energy Photovoltaic Technology Laboratory Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus École Polytechnique Palaiseau France

ISBN: (纸本)9781509056057

This paper details the development of the pvpaR (PV Performance Analysis in R) web application built on open-source technologies for the automated and user-friendly evaluation of photovoltaic (PV) system performance and identification and classification of faults. pvpaR's ecosystem is based on the R statistical computing project, both for the back-end as well as for the front-end which uses the Shiny web application framework. Currently, the core of the application incorporates models for synthesizing time-series of irradiance, module temperature, PV system voltage, current, DC and AC power. These are used to validate the imported field measurements and create the comparison which the fault identification function is dependent upon. The web application can currently import measurements from flat files and databases. It has been released under the GNU Affero GPL license to encourage contributions, with the goal to become a useful tool for the PV community and PV system owners. © 2017 IEEE.

关键词： Open systems

来源：评论

学校读者我要写书评

暂无评论

Towards energy-efficient communication management in the distributed control of networked cyber-physical systems

Towards energy-efficient communication management in the dis...

引用

American Control Conference

作者： Yongcan Cao Eduardo Pasiliao Jooeun Hong the Department of Electrical and Computer Engineering The University of Texas San Antonio TX 78249 the Munitions Directorate Air Force Research Laboratory Eglin AFB FL 32542

ISBN: (纸本)9781509045839

In this paper, we study the distributed control of networked cyber-physical systems when a much more energy-efficient distributed communication management strategy is proposed to solve the well-studied consensus problem. In contrast to the existing potential-based network topology control method, the proposed topology control method is based on the variation of communication ranges such that each agent can control its ad hoc communication range. The proposed network topology control technique can not only guarantee network connectivity but also reduce the communication energy. We apply the new network topology control technique, based on variable communication ranges, in a well-studied consensus problem, where the communication range for each agent is designed locally along with a new bounded control algorithm. Theoretical analysis is then provided to show that the proposed network topology control technique can guarantee consensus with bounded communication energy consumption.

关键词： Multi-agent Systems Control of Networks Distributed Control Topology Control Energy-efficient Communication decentralised control topology control Multi-agent systems communication range network control Network topology Communications management Control technology Energy efficiency Agents

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：