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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

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A Surface Integral Equation Solver for Transient Analysis of Graphene Devices

A Surface Integral Equation Solver for Transient Analysis of...

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4th Advanced Electromagnetics Symposium, AES 2016

作者： Shi, Y. Li, P. Uysal, I.E. Ulku, H.A. Bagci, H. Division of Computer Electrical and Mathematical Sciences and Engineering King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States Department of Electronics Engineering Gebze Technical University Kocaeli Gebze Turkey

A surface integral equation solver for analyzing transient electromagnetic wave interactions on composite graphene-based devices is described. The time domain resistive boundary condition (TD-RBC) and the Poggio-Miller-Chang-Harrington-Wu-Tsai (TD-PMCHWT) integral equation, which are enforced on the surfaces of the graphene and dielectric substrates, respectively, are discretized using the well-known marching-on-in-time (MOT) scheme. The expressions of the time domain resistivity and conductivity of the graphene sheet are obtained analytically from the intra-band contribution formulated in frequency domain. Numerical results demonstrating the accuracy and the applicability of the proposed scheme, will be presented. © 2016 Advanced Electromagnetics Symposium. All rights reserved.

关键词： Integral equations

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Author Correction: Decadal trends in Red Sea maximum surface temperature

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Scientific reports 2018年第1期8卷 7535页

作者： V Chaidez D Dreano S Agusti C M Duarte I Hoteit King Abdullah University of Science and Technology (KAUST) Red Sea Research Center (RSRC) Thuwal 23955-6900 Saudi Arabia. veronica.chaidez@kaust.edu.sa. King Abdullah University of Science and Technology (KAUST) Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE) Thuwal 23955-6900 Saudi Arabia. King Abdullah University of Science and Technology (KAUST) Red Sea Research Center (RSRC) Thuwal 23955-6900 Saudi Arabia. King Abdullah University of Science and Technology (KAUST) Physical Sciences and Engineering Division Thuwal 23955-6900 Saudi Arabia.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper.

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Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care

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Nature communications 2019年第1期10卷 588页

作者： Lena Maier-Hein Matthias Eisenmann Annika Reinke Sinan Onogur Marko Stankovic Patrick Scholz Tal Arbel Hrvoje Bogunovic Andrew P Bradley Aaron Carass Carolin Feldmann Alejandro F Frangi Peter M Full Bram van Ginneken Allan Hanbury Katrin Honauer Michal Kozubek Bennett A Landman Keno März Oskar Maier Klaus Maier-Hein Bjoern H Menze Henning Müller Peter F Neher Wiro Niessen Nasir Rajpoot Gregory C Sharp Korsuk Sirinukunwattana Stefanie Speidel Christian Stock Danail Stoyanov Abdel Aziz Taha Fons van der Sommen Ching-Wei Wang Marc-André Weber Guoyan Zheng Pierre Jannin Annette Kopp-Schneider Division of Computer Assisted Medical Interventions (CAMI) German Cancer Research Center (DKFZ) 69120 Heidelberg Germany. l.maier-hein@dkfz.de. Division of Computer Assisted Medical Interventions (CAMI) German Cancer Research Center (DKFZ) 69120 Heidelberg Germany. Centre for Intelligent Machines McGill University Montreal QC H3A0G4 Canada. Christian Doppler Laboratory for Ophthalmic Image Analysis Department of Ophthalmology Medical University Vienna 1090 Vienna Austria. Science and Engineering Faculty Queensland University of Technology Brisbane QLD 4001 Australia. Department of Electrical and Computer Engineering Department of Computer Science Johns Hopkins University Baltimore MD 21218 USA. CISTIB - Center for Computational Imaging & Simulation Technologies in Biomedicine The University of Leeds Leeds Yorkshire LS2 9JT UK. Department of Radiology and Nuclear Medicine Medical Image Analysis Radboud University Center 6525 GA Nijmegen The Netherlands. Institute of Information Systems Engineering TU Wien 1040 Vienna Austria. Complexity Science Hub Vienna 1080 Vienna Austria. Heidelberg Collaboratory for Image Processing (HCI Heidelberg University 69120 Heidelberg Germany. Centre for Biomedical Image Analysis Masaryk University 60200 Brno Czech Republic. Electrical Engineering Vanderbilt University Nashville TN 37235-1679 USA. Institute of Medical Informatics Universität zu Lübeck 23562 Lübeck Germany. Division of Medical Image Computing (MIC) German Cancer Research Center (DKFZ) 69120 Heidelberg Germany. Institute for Advanced Studies Department of Informatics Technical University of Munich 80333 Munich Germany. Information System Institute HES-SO Sierre 3960 Switzerland. Departments of Radiology Nuclear Medicine and Medical Informatics Erasmus MC 3015 GD Rotterdam The Netherlands. Department of Computer Science University of Warwick Coventry CV4 7AL UK. Department of Radiation Oncology Massachusetts General Hospital Boston MA

In the original version of this Article the values in the rightmost column of Table 1 were inadvertently shifted relative to the other columns. This has now been corrected in the PDF and HTML versions of the Article.

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Stability and frequency regulation of inverters with capacitive inertia

arXiv

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arXiv 2017年

作者： Monshizadeh, Pooya de Persis, Claudio Stegink, Tjerk Monshizadeh, Nima van der Schaft, Arjan Johann Bernoulli Institute for Mathematics and Computer Science University of Groningen 9700 AK Netherlands Electronics Power and Energy Conversion Group University of Groningen 9747 AG Netherlands Electrical Engineering Division University of Cambridge CB3 0FA United Kingdom

In this paper, we address the problem of stability and frequency regulation of a recently proposed inverter. In this type of inverter, the DC-side capacitor emulates the inertia of a synchronous generator. First, we remodel the dynamics from the electrical power perspective. Second, using this model, we show that the system is stable if connected to a constant power load, and the frequency can be regulated by a suitable choice of the controller. Next, and as the main focus of this paper, we analyze the stability of a network of these inverters, and show that frequency regulation can be achieved by using an appropriate controller design. Finally, a numerical example is provided which illustrates the effectiveness of the method. Copyright © 2017, The Authors. All rights reserved.

关键词： Electric inverters

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Measurements of jet observables sensitive to b-quark fragmentation in tt¯ events at the LHC with the ATLAS detector

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physical Review D 2022年第3期106卷 032008-032008页

作者： G. Aad B. Abbott D. C. Abbott A. Abed Abud K. Abeling D. K. Abhayasinghe S. H. Abidi O. S. AbouZeid N. L. Abraham H. Abramowicz H. Abreu Y. Abulaiti B. S. Acharya B. Achkar L. Adam C. Adam Bourdarios L. Adamczyk L. Adamek J. Adelman A. Adiguzel S. Adorni T. Adye A. A. Affolder Y. Afik C. Agapopoulou M. N. Agaras A. Aggarwal C. Agheorghiesei J. A. Aguilar-Saavedra A. Ahmad F. Ahmadov W. S. Ahmed X. Ai G. Aielli S. Akatsuka M. Akbiyik T. P. A. Åkesson E. Akilli A. V. Akimov K. Al Khoury G. L. Alberghi J. Albert M. J. Alconada Verzini S. Alderweireldt M. Aleksa I. N. Aleksandrov C. Alexa T. Alexopoulos A. Alfonsi F. Alfonsi M. Alhroob B. Ali S. Ali M. Aliev G. Alimonti C. Allaire B. M. M. Allbrooke P. P. Allport A. Aloisio F. Alonso C. Alpigiani E. Alunno Camelia M. Alvarez Estevez M. G. Alviggi Y. Amaral Coutinho A. Ambler L. Ambroz C. Amelung D. Amidei S. P. Amor Dos Santos S. Amoroso C. S. Amrouche F. An C. Anastopoulos N. Andari T. Andeen J. K. Anders S. Y. Andrean A. Andreazza V. Andrei C. R. Anelli S. Angelidakis A. Angerami A. V. Anisenkov A. Annovi C. Antel M. T. Anthony E. Antipov M. Antonelli D. J. A. Antrim F. Anulli M. Aoki J. A. Aparisi Pozo M. A. Aparo L. Aperio Bella N. Aranzabal V. Araujo Ferraz R. Araujo Pereira C. Arcangeletti A. T. H. Arce J-F. Arguin S. Argyropoulos J.-H. Arling A. J. Armbruster A. Armstrong O. Arnaez H. Arnold Z. P. Arrubarrena Tame G. Artoni H. Asada K. Asai S. Asai T. Asawatavonvanich N. A. Asbah E. M. Asimakopoulou L. Asquith J. Assahsah K. Assamagan R. Astalos R. J. Atkin M. Atkinson N. B. Atlay H. Atmani P. A. Atmasiddha K. Augsten V. A. Austrup G. Avolio M. K. Ayoub G. Azuelos D. Babal H. Bachacou K. Bachas F. Backman P. Bagnaia H. Bahrasemani A. J. Bailey V. R. Bailey J. T. Baines C. Bakalis O. K. Baker P. J. Bakker E. Bakos D. Bakshi Gupta S. Balaji R. Balasubramanian E. M. Baldin P. Balek F. Balli W. K. Balunas J. Balz E. Banas M. Bandieramonte A. Bandyopadhyay Sw. Banerjee L. Barak W. M. Barbe E. L. Barberio D. Barberis M. Barbero G. Barbour T. Barillari M-S. Barisits CPPM Aix-Marseille Université CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman Oklahoma USA Department of Physics University of Massachusetts Amherst Massachusetts USA CERN Geneva Switzerland II. Physikalisches Institut Georg-August-Universität Göttingen Göttingen Germany Department of Physics Royal Holloway University of London Egham United Kingdom Physics Department Brookhaven National Laboratory Upton New York USA Niels Bohr Institute University of Copenhagen Copenhagen Denmark Department of Physics and Astronomy University of Sussex Brighton United Kingdom Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion Israel Institute of Technology Haifa Israel High Energy Physics Division Argonne National Laboratory Argonne Illinois USA INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy Institut für Physik Universität Mainz Mainz Germany LAPP Univ. Savoie Mont Blanc CNRS/IN2P3 Annecy France AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Department of Physics University of Toronto Toronto Ontario Canada Department of Physics Northern Illinois University DeKalb Illinois USA Department of Physics Bogazici University Istanbul Turkey Département de Physique Nucléaire et Corpusculaire Université de Genève Genève Switzerland Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz California USA IJCLab Université Paris-Saclay CNRS/IN2P3 91405 Orsay France LPC Université Clermont Auvergne CNRS/IN2P3 Clermont-Ferrand France Institute for Mathematics Astrophysics and Particle Physics Radboud University/Nikhef Nijmegen Netherlands Department of Physics Alexandru Ioan Cuza University of Iasi Iasi Romania Departa

Several observables sensitive to the fragmentation of b quarks into b hadrons are measured using 36 fb−1 of s=13 TeV proton-proton collision data collected with the ATLAS detector at the LHC. Jets containing b hadrons are obtained from a sample of dileptonic tt¯ events, and the associated set of charged-particle tracks is separated into those from the primary pp interaction vertex and those from the displaced b-decay secondary vertex. This division is used to construct observables that characterize the longitudinal and transverse momentum distributions of the b hadron within the jet. The measurements have been corrected for detector effects and provide a test of heavy-quark-fragmentation modeling at the LHC in a system where the top-quark decay products are color connected to the proton beam remnants. The unfolded distributions are compared with the predictions of several modern Monte Carlo parton-shower generators and generator tunes, and a wide range of agreement with the data is observed, with p values varying from 5×10−4 to 0.98. These measurements complement similar measurements from e+e− collider experiments in which the b quarks originate from a color singlet Z/γ*.

关键词： Quark & gluon jets Top quark Multi-purpose particle detectors Precision measurements

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Thermal conductivity of type-I, type-II, and type-VIII pristine silicon clathrates: A first-principles study

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physical Review B 2017年第24期96卷 245201-245201页

作者： Payam Norouzzadeh Jerzy S. Krasinski Terumasa Tadano School of Electrical and Computer Engineering Helmerich Advanced Technology Research Center Oklahoma State University Tulsa Oklahoma 74106 USA International Center for Young Scientists (ICYS) National Institute for Materials Science Tsukuba 305-0047 Japan Research and Services Division of Materials Data and Integrated System (MaDIS) National Institute for Materials Science Tsukuba 305-0047 Japan

By applying first-principles Peierls-Boltzmann transport calculations, the lattice thermal conductivities of type-I, type-II, and type-VIII silicon clathrates are investigated. The lattice thermal conductivity, spectral lattice thermal conductivity, and lattice thermal conductivity versus mean-free path (MFP) of phonons, relaxation times, and the anharmonicity of selected Si clathrates are calculated and compared. The microscopic origin of the slight difference in the lattice thermal conductivity of Si-I/II/VIII clathrates is discussed extensively. Our calculations uncover that the impact of phonon group velocity on the lattice thermal conductivity is far from enough to explain the discrepancies in κlat of studied Si clathrates and it mainly is a consequence of the shorter lifetimes of the acoustic modes in type-VIII structure. Similarity between phase space for three-phonon anharmonic scattering processes of studied silicon clathrates highlights the influence of three-phonon coupling strength and the further calculation of the frequency-resolved final state spectra re-emphasizes that the subtle differences arise from the stronger three-phonon interaction coefficients.

关键词： Acoustic phonons Optical phonons Semiconductors Thermal conductivity Clathrates Density functional theory

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H∞ Consensus Control for Uncertain Stochastic Multi-Agent Systems:A Sliding Mode Approach 35

H∞ Consensus Control for Uncertain Stochastic Multi-Agent S...

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第35届中国控制会议

作者： ZHAO Lin JIA Yingmin YU Jinpeng WANG Na DU Junping School of Automation and Electrical Engineering Qingdao University The Seventh Research Division Beihang University (BUAA) Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and TechnologyBeijing University of Posts and Telecommunications

ISBN: (纸本)9781509009107

This paper studies the consensus control problem of stochastic multi-agent systems subject to unknown state nonlinearities and external disturbances.A novel distributed integral-type sliding surface is constructed for each agent,and a sufficient condition based on linear matrix inequalities（LMIs） is given,which can guarantee the system states are mean-square consensus with H disturbance attenuation index on sliding ***,a distributed adaptive sliding mode control（SMC） law with updated law is proposed such that the sliding surface is *** example is included to show the effectiveness of the proposed method.

关键词： Multi-agent systems Stochastic systems H_∞ Sliding mode control External disturbances

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Ferroelectric negative capacitance domain dynamics

arXiv

引用

arXiv 2017年

作者： Hoffmann, Michael Khan, Asif Islam Serrao, Claudy Lu, Zhongyuan Salahuddin, Sayeef Pešić, Milan Slesazeck, Stefan Schroeder, Uwe Mikolajick, Thomas Department of Electrical Engineering and Computer Sciences University of California BerkeleyCA94720 United States NaMLab gGmbH Noethnitzer Str. 64 DresdenD-01187 Germany School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30332 United States Material Science Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Chair of Nanoelectronic Materials TU Dresden DresdenD-01062 Germany

Transient negative capacitance effects in epitaxial ferroelectric Pb(Zr0.2Ti0.8)O3 capacitors are investigated with a focus on the dynamical switching behavior governed by domain nucleation and growth. Voltage pulses are applied to a series connection of the ferroelectric capacitor and a resistor to directly measure the ferroelectric negative capacitance during switching. A timedependent Ginzburg-Landau approach is used to investigate the underlying domain dynamics. The transient negative capacitance is shown to originate from reverse domain nucleation and unrestricted domain growth. However, with the onset of domain coalescence, the capacitance becomes positive again. The persistence of the negative capacitance state is therefore limited by the speed of domain wall motion. By changing the applied electric field, capacitor area or external resistance, this domain wall velocity can be varied predictably over several orders of magnitude. Additionally, detailed insights into the intrinsic material properties of the ferroelectric are obtainable through these measurements. A new method for reliable extraction of the average negative capacitance of the ferroelectric is presented. Furthermore, a simple analytical model is developed, which accurately describes the negative capacitance transient time as a function of the material properties and the experimental boundary conditions. Copyright © 2017, The Authors. All rights reserved.

关键词： Ferroelectricity

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Probing short-range magnetic order in a geometrically frustrated magnet by spin Seebeck effect

arXiv

引用

arXiv 2017年

作者： Liu, Changjiang Wu, Stephen M. Pearson, John E. Jiang, J. Samuel d’Ambrumenil, N. Bhattacharya, Anand Materials Science Division Argonne National Laboratory LemontIL60439 United States Department of Electrical and Computer Engineering University of Rochester RochesterNY14627 United States Department of Physics University of Warwick CoventryCV4 7AL United Kingdom

Competing magnetic interactions in geometrically frustrated magnets give rise to new forms of correlated matter, such as spin liquids and spin ices. Characterizing the magnetic structure of these states has been difficult due to the absence of long-range order. Here, we demonstrate that the spin Seebeck effect (SSE) is a sensitive probe of magnetic short-range order (SRO) in geometrically frustrated magnets. In low temperature (2 - 5 K) SSE measurements on a model frustrated magnet Gd3Ga5O12, we observe modulations in the spin current on top of a smooth background. By comparing to existing neutron diffraction data, we find that these modulations arise from field-induced magnetic ordering that is short-range in nature. The observed SRO is anisotropic with the direction of applied field, which is verified by theoretical calculation. Copyright © 2017, The Authors. All rights reserved.

关键词： Modulation

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