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IEEE International Nanoelectronics Conference (INEC)

作者： Yu-Pu Wang Jin-Jun Qiu Hui Lu Qi-Jia Yap Wen-Hong Wang Gu-Chang Han Duc-The Ngo Kie-Leong Teo Department of Electrical and Computer Engineering Advanced Memory Laboratory National University of Singapore Singapore Data Storage Institute Agency for Science Technology and Research Singapore

We report the magnetic properties, microstructure and surface morphology of epitaxially grown Fe 2 CrSi films. Highly ordered B2 films were obtained by deposition at room temperature followed by annealing at 400°C. Magnetic tunnel junctions using Fe 2 CrSi show a tunnelling magnetoresistance (TMR) of 2.5%. The low TMR is ascribed to the oxidation of Fe 2 CrSi at the interface with MgO. An enhancement of TMR to 8.1% was achieved by inserting a 0.3nm Mg between Fe 2 CrSi and MgO to prevent the oxidation of Fe 2 CrSi.

关键词： Tunneling magnetoresistance Magnetic tunneling Annealing Oxidation Films Temperature measurement Metals

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Optical flow switching: An end-to-end “UltraFlow” architecture

Optical flow switching: An end-to-end “UltraFlow” architec...

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International Conference on Transparent Optical Networks

作者： Vincent W.S. Chan Lei Zheng Henna Huang Guy Weichenberg Anurupa Ganguly Claude E. Shannon Communication and Network Group Research Laboratory of Electronics Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology USA

We describe the design of an optical network architecture that will satisfy dramatic increases in data rate demands of emerging applications. Optical flow switching (OFS), will enable significant rate growth of > 10 3 , with power-efficiency and cost-effective scalability of next-generation networks. We will describe architecture concepts germinated 24 years ago, technology and testbed demonstrations performed in the last 19 years, and the architecture construct from the Physical Layer to the Transport Layer of an implementable optical flow switching network that is scalable and manageable. Recent architecture for an NSF-funded Internet research Program “UltraFlow”, for which OFS can be used, will be described.

关键词： Optical fiber networks Integrated optics Optical switches computer architecture High-speed optical techniques Wide area networks Local area networks

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Supercomputer assisted generation of machine learning agents for the calibration of building energy models 13

Supercomputer assisted generation of machine learning agents...

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Conference on Extreme science and engineering Discovery Environment, XSEDE 2013

作者： Sanyal, Jibonananda New, Joshua Edwards, Richard Oak Ridge National Laboratory Building Technologies Research and Integration Center 1 Bethel Valley Road Oak Ridge TN - 37831 United States Department of Electrical Engineering and Computer Science Min H. Kao Building University of Tennessee 1520 Middle Drive Knoxville TN 37996 United States

ISBN: (纸本)9781450321709

Building Energy Modeling (BEM) is an approach to model the energy usage in buildings for design and retrofit purposes. EnergyPlus is the flagship department of Energy software that performs BEM for different types of buildings. The input to EnergyPlus can often extend in the order of a few thousand parameters which have to be calibrated manually by an expert for realistic energy modeling. This makes it challenging and expensive thereby making building energy modeling unfeasible for smaller projects. In this paper, we describe the "Autotune" research which employs machine learning algorithms to generate agents for the different kinds of standard reference buildings in the U.S. building stock. The parametric space and the variety of building locations and types make this a challenging computational problem necessitating the use of supercomputers. Millions of EnergyPlus simulations are run on supercomputers which are subsequently used to train machine learning algorithms to generate agents. These agents, once created, can then run in a fraction of the time thereby allowing cost-effective calibration of building models. © 2013 by the Association for Computing Machinery, Inc.

关键词： Calibration

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Epidermal Electronics: Capacitive Epidermal Electronics for electrically Safe, Long‐Term Electrophysiological Measurements (Adv. Healthcare Mater. 5/2014)

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Advanced Healthcare Materials 2014年第5期3卷

作者： Jae‐Woong Jeong Min Ku Kim Huanyu Cheng Woon‐Hong Yeo Xian Huang Yuhao Liu Yihui Zhang Yonggang Huang John A. Rogers Department of Materials Science and Engineering Beckman Institute for Advanced Science and Technology and Frederick Seitz Materials Research Laboratory University of Illinois at Urbana‐Champaign Urbana IL 61801 USA Department of Electrical and Computer Engineering University of Illinois at Urbana‐Champaign Urbana IL 61801 USA Department of Civil and Environmental Engineering Department of Mechanical Engineering Northwestern University Evanston IL 60208 USA Center for Engineering and Health Skin Disease Research Center Northwestern University Evanston IL 60208 USA Center for Mechanics and Materials Tsinghua University Beijing 100084 China Department of Materials Science and Engineering Beckman Institute for Advanced Science and Technology and Frederick Seitz Materials Research Laboratory University of Illinois at Urbana‐Champaign Urbana IL 61801 USA

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Consistent hemodynamic response function estimation in functional MRI by first order differencing

Consistent hemodynamic response function estimation in funct...

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IEEE International Symposium on Biomedical Imaging

作者： Abd-Krim Seghouane Adnan Shah Department of Electrical and Electronic Engineering Melbourne School of Engineering University of Melbourne Melbourne Australia NICTA Canberra Research Laboratory and College of Engineering and Computer Science Australian National University Canberra Australia

ISBN: (纸本)9781467364560

Non-parametric hemodynamic response function (HRF) estimation in noisy functional Magnetic Resonance Imaging (fMRI) plays an important role when investigating the temporal dynamic of a brain region response during activations. Assuming the drift Lipschitz continuous; a new algorithm for non-parametric HRF estimation is derived in this paper. The proposed algorithm estimates the HRF by applying a first order differencing to the fMRI time series samples. It is shown that the proposed HRF estimator is √(N) consistent. Its performance is assessed using both simulated and a real fMRI data sets obtained from an event-related fMRI experiment. The application results reveal that the proposed HRF estimation method is efficient both computationally and in term of accuracy.

关键词： Estimation Least squares approximations Vectors Hemodynamics Magnetic resonance imaging Noise Educational institutions

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Pricing-based routing in cognitive radio networks

Pricing-based routing in cognitive radio networks

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IEEE Global Communications Conference

作者： Enas F. Khairullah Mainak Chatterjee Kevin Kwiat Department of Electrical Engineering & Computer Science University of Central Florida Orlando Florida 32816 Air Force Research Laboratory Information Directorate Rome NY 13441

ISBN: (纸本)9781479913510

In this paper, we propose a pricing-based routing algorithm in a distributed cognitive radio network. The routing of packets is viewed as a market-based phenomenon where bandwidth is traded between transmitters and receivers. We propose a pricing model using which a seller determines the selling price. We also find the interference that a seller is exposed to since it determines the achievable bit-rate for the bandwidth being sold. As for the buyer, we calculate the bandwidth required from different sellers considering the respective signal to noise ratio. The seller with the minimum price is selected as the next hop relay. Thus, the total price to be paid by a source node is the sum of the prices paid at each hop in the route. Through simulation experiments, we validate the proposed scheme and show the prices for various routes.

关键词： Cognitive Radio Routing Algorithms DSA Networks

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Observation and measurement of Higgs boson decays to WW* with the ATLAS detector

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Physical Review D 2015年第1期92卷 012006-012006页

作者： G. Aad B. Abbott J. Abdallah S. Abdel Khalek O. Abdinov R. Aben B. Abi M. Abolins O. S. AbouZeid H. Abramowicz H. Abreu R. Abreu Y. Abulaiti B. S. Acharya L. Adamczyk D. L. Adams J. Adelman S. Adomeit T. Adye T. Agatonovic-Jovin J. A. Aguilar-Saavedra M. Agustoni S. P. Ahlen F. Ahmadov G. Aielli H. Akerstedt T. P. A. Åkesson G. Akimoto A. V. Akimov G. L. Alberghi J. Albert S. Albrand M. J. Alconada Verzini M. Aleksa I. N. Aleksandrov C. Alexa G. Alexander G. Alexandre T. Alexopoulos M. Alhroob G. Alimonti L. Alio J. Alison B. M. M. Allbrooke L. J. Allison P. P. Allport A. Aloisio A. Alonso F. Alonso C. Alpigiani A. Altheimer B. Alvarez Gonzalez M. G. Alviggi K. Amako Y. Amaral Coutinho C. Amelung D. Amidei S. P. Amor Dos Santos A. Amorim S. Amoroso N. Amram G. Amundsen C. Anastopoulos L. S. Ancu N. Andari T. Andeen C. F. Anders G. Anders K. J. Anderson A. Andreazza V. Andrei X. S. Anduaga S. Angelidakis I. Angelozzi P. Anger A. Angerami F. Anghinolfi A. V. Anisenkov N. Anjos A. Annovi M. Antonelli A. Antonov J. Antos F. Anulli M. Aoki L. Aperio Bella G. Arabidze Y. Arai J. P. Araque A. T. H. Arce F. A. Arduh J-F. Arguin S. Argyropoulos M. Arik A. J. Armbruster O. Arnaez V. Arnal H. Arnold M. Arratia O. Arslan A. Artamonov G. Artoni S. Asai N. Asbah A. Ashkenazi B. Åsman L. Asquith K. Assamagan R. Astalos M. Atkinson N. B. Atlay B. Auerbach K. Augsten M. Aurousseau G. Avolio B. Axen G. Azuelos Y. Azuma M. A. Baak A. E. Baas C. Bacci H. Bachacou K. Bachas M. Backes M. Backhaus E. Badescu P. Bagiacchi P. Bagnaia Y. Bai T. Bain J. T. Baines O. K. Baker P. Balek F. Balli E. Banas Sw. Banerjee A. A. E. Bannoura H. S. Bansil L. Barak S. P. Baranov E. L. Barberio D. Barberis M. Barbero T. Barillari M. Barisonzi T. Barklow N. Barlow S. L. Barnes B. M. Barnett R. M. Barnett Z. Barnovska A. Baroncelli G. Barone A. J. Barr F. Barreiro J. Barreiro Guimarães da Costa R. Bartoldus A. E. Barton P. Bartos V. Bartsch A. Bassalat A. Basye R. L. Bates S. J. Batista J. R. Batley M. Battaglia M. Battistin F. Bauer H. S. Bawa J. B. Bea CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman OK United States of America Institute of Physics Academia Sinica Taipei Taiwan LAL Université Paris-Sud and CNRS/IN2P3 Orsay France Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan Nikhef National Institute for Subatomic Physics and University of Amsterdam Amsterdam Netherlands Department of Physics Oklahoma State University Stillwater OK United States of America Department of Physics and Astronomy Michigan State University East Lansing MI United States of America Department of Physics University of Toronto Toronto ON Canada 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 CERN Geneva Switzerland Department of Physics Stockholm University Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Physics Department Brookhaven National Laboratory Upton NY United States of America Department of Physics Northern Illinois University DeKalb IL United States of America Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Institute of Physics University of Belgrade Belgrade Serbia Laboratorio de Instrumentacao e Fisica Experimental de Particulas - LIP Lisboa Portugal Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Spain Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics University of Bern Bern Switzerland Department of Physics Boston University Boston MA United States of America Joint Institute for Nuclear Research JINR Dubna D

We report the observation of Higgs boson decays to WW* based on an excess over background of 6.1 standard deviations in the dilepton final state, where the Standard Model expectation is 5.8 standard deviations. Evidence for the vector-boson fusion (VBF) production process is obtained with a significance of 3.2 standard deviations. The results are obtained from a data sample corresponding to an integrated luminosity of 25 fb−1 from s=7 and 8 TeV pp collisions recorded by the ATLAS detector at the LHC. For a Higgs boson mass of 125.36 GeV, the ratio of the measured value to the expected value of the total production cross section times branching fraction is 1.09−0.15+0.16(stat)−0.14+0.17(syst). The corresponding ratios for the gluon fusion and vector-boson fusion production mechanisms are 1.02±0.19(stat)−0.18+0.22(syst) and 1.27−0.40+0.44(stat)−0.21+0.30(syst), respectively. At s=8 TeV, the total production cross sections are measured to be σ(gg→H→WW*)=4.6±0.9(stat)−0.7+0.8(syst) pb and σ(VBF H→WW*)=0.51−0.15+0.17(stat)−0.08+0.13(syst) pb. The fiducial cross section is determined for the gluon-fusion process in exclusive final states with zero or one associated jet.

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Towards Template-Assisted Assembly of Nematic Colloids

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Physical Review Letters 2014年第22期112卷 225501-225501页

作者： Nuno M. Silvestre Qingkun Liu Bohdan Senyuk Ivan I. Smalyukh Mykola Tasinkevych Departamento de Física da Faculdade de Ciências Universidade de Lisboa Avenida Professor Gama Pinto 2 P-1649-003 Lisboa Portugal Centro de Física Teórica e Computacional Universidade de Lisboa Avenida Professor Gama Pinto 2 P-1649-003 Lisboa Portugal Department of Physics University of Colorado Boulder Colorado 80309 USA Liquid Crystal Materials Research Center University of Colorado Boulder Colorado 80309 USA Department of Electrical Computer and Energy Engineering and Materials Science and Engineering Program University of Colorado Boulder Colorado 80309 USA Renewable and Sustainable Energy Institute National Renewable Energy Laboratory and University of Colorado Boulder Colorado 80309 USA Max-Planck-Institut für Intelligente Systeme Heisenbergstrasse 3 D-70569 Stuttgart Germany Institut für Theoretische Physik IV Universität Stuttgart Pfaffenwaldring 57 D-70569 Stuttgart Germany

Colloidal crystals belong to a new class of materials with unusual properties in which the big challenge is to grow large-scale structures of a given symmetry in a well-controlled and inexpensive way. Recently, template-assisted crystallization was successfully exploited experimentally in the case of colloidal particles dispersed in isotropic fluids. In liquid crystal (LC) colloids, particles are subjected to long-range anisotropic elastic forces originating from the anisotropic deformation of the underlying order parameter. These effective interactions are easily tunable by external electric or magnetic fields, light, temperature, or confinement and, thus, provide additional handles for better control of colloidal assembly. Here we use the coupling between microsculptured bounding surfaces and LC elasticity in order to guide the self-assembly of large-scale colloidal structures. We present explicit numerical calculations of the free energy landscape of colloidal particles in the presence of convex protrusions modeled as squared pyramids comparable to the size of the particles. We show the existence of strong trapping potentials that are able to efficiently localize the colloidal particles and withstand thermal fluctuations. Three-dimensional optical imaging experiments support the theoretical predictions.

关键词： Self assembly

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BT-02FUNCTIONALLY-DEFINED THERAPEUTIC TARGETS IN DIFFUSE INTRINSIC PONTINE GLIOMA

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Neuro-Oncology 2015年第SUPPL_3期17卷 iii3-iii3页

作者： Grasso, Catherine S. Tang, Yujie Truffaux, Nathalene Berlow, Noah E. Liu, Lining Debily, Marie-Anne Quist, Michael J. Davis, Lara Huang, Elaine C. Woo, Pamelyn J. Ponnuswami, Anitha Chen, Spenser Johung, Tessa Sun, Wenchao Kogiso, Mari Du, Yuchen Lin, Qi Huang, Yulun Hutt-Cabezas, Marianne Warren, Katherine E. Le Dret, Ludivine Meltzer, Paul S. Mao, Hua Quezado, Martha van Vuurden, Dannis G. Abraham, Jinu Fouladi, Maryam Svalina, Matthew N. Wang, Nicholas Hawkins, Cynthia Raabe, Eric Hulleman, Esther Spellman, Paul T. Li, Xiao-Nan Keller, Charles Pal, Ranadip Grill, Jacques Monje, Michelle Center for Spatial Systems Biomedicine Department of Molecular and Medical Genetics Oregon Health & Science University Portland OR USA These authors contributed equally to this work Depts. of Neurology Neurosurgery and Pediatrics Stanford University Stanford CA USA Unité Mixte de Recherche du Centre National de la Recherche Scientifique 8203 Institut Gustave Roussy et Université Paris-Sud Villejuif France Electrical and Computer Engineering Texas Tech University Lubbock TX USA Université d'Evry-Val d'Essone Evry France Pediatric Cancer Biology Program Papé Family Pediatric Research Institute Dept. of Pediatrics Oregon Health & Science University Portland OR USA Children's Cancer Therapy Development Institute Fort Collins CO USA Laboratory of Molecular Neurooncology Texas Children's Cancer Center Baylor College of Medicine Houston TX USA Department of Neurosurgery The First Affiliated Hospital of Soochow Suzhou China Departments of Oncology and Pathology Johns Hopkins University Baltimore MD USA National Cancer Institute Bethesda MD USA Department of Pediatric Oncology Hematology and Neuro-Oncology Research Group Cancer Center Amsterdam VU University Medical Center Amsterdam The Netherlands Cancer and Blood Diseases Institute Cincinnati Children's Hospital Medical Center Cincinnati OH USA Dept. of Paediatric Laboratory Medicine University of Toronto Scientist Labatt Brain Tumour Research Centre Hospital for Sick Children University of Toronto Toronto ON Canada Departement de Cancerologie de l'Enfant et de l'Adolescent Institut Gustave Roussy Université Paris-Sud Villejuif France

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Fluctuating surface currents: An algorithm for efficient prediction of Casimir interactions among arbitrary materials in arbitrary geometries

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Physical Review A 2013年第2期88卷 022514-022514页

作者： M. T. Homer Reid Jacob White Steven G. Johnson Research Laboratory of Electronics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Mathematics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA

This paper presents a method for the efficient numerical computation of Casimir interactions between objects of arbitrary geometries, composed of materials with arbitrary frequency-dependent electrical properties. Our method formulates the Casimir effect as an interaction between effective electric and magnetic current distributions on the surfaces of material bodies and obtains Casimir energies, forces, and torques from the spectral properties of a matrix that quantifies the interactions of these surface currents. The method can be formulated and understood in two distinct ways: (1) as a consequence of the familiar stress-tensor approach to Casimir physics, or, alternatively, (2) as a particular case of the path-integral approach to Casimir physics, and we present both formulations in full detail. In addition to providing an algorithm for computing Casimir interactions in geometries that could not be efficiently handled by any other method, the framework proposed here thus achieves an explicit unification of two seemingly disparate approaches to computational Casimir physics.

关键词： Geometry

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