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arXiv 2018年

作者： Roques-Carmes, Charles Shen, Yichen Zanoci, Cristian Prabhu, Mihika Atieh, Fadi Jing, Li Dubček, Tena Mao, Chenkai Johnson, Miles R. Čeperić, Vladimir Joannopoulos, John D. Englund, Dirk Soljačić, Marin Research Laboratory of Electronics Massachusetts Institute of Technology 50 Vassar Street CambridgeMA02139 United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States Department of Physics Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States Department of Mathematics Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States Institute for Soldier Nanotechnologies 500 Technology Square CambridgeMA02139 United States

The inability of conventional electronic architectures to efficiently solve large combinatorial problems motivates the development of novel computational hardware. There has been much effort recently toward developing novel, application-specific hardware, across many different fields of engineering, such as integrated circuits, memristors, and photonics. However, unleashing the true potential of such novel architectures requires the development of featured algorithms which optimally exploit their fundamental properties. We here present the Photonic Recurrent Ising Sampler (PRIS), a heuristic method tailored for parallel architectures that allows for fast and efficient sampling from distributions of combinatorially hard Ising problems. Since the PRIS relies essentially on vector-to-fixed matrix multiplications, we suggest the implementation of the PRIS in photonic parallel networks, which realize these operations at an unprecedented speed. The PRIS provides sample solutions to the ground state of arbitrary Ising models, by converging in probability to their associated Gibbs distribution. By running the PRIS at various noise levels, we probe the critical behavior of universality classes and their critical exponents. In addition to the attractive features of photonic networks, the PRIS relies on intrinsic dynamic noise and eigenvalue dropout to find ground states more efficiently. Our work suggests speedups in heuristic methods via photonic implementations of the PRIS. We also hint at a broader class of (meta)heuristic algorithms derived from the PRIS, such as combined simulated annealing on the noise and eigenvalue dropout levels. Our algorithm can also be implemented in a competitive manner on fast parallel electronic hardware, such as FPGAs and ASICs. Copyright © 2018, The Authors. All rights reserved.

关键词： Heuristic algorithms

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Contract-theoretic resource allocation for critical infrastructure protection

arXiv

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arXiv 2017年

作者： Eldosouky, Abdel Rahman Saad, Walid Kamhoua, Charles Kwiat, Kevin Electrical and Computer Engineering Department Virginia Tech BlacksburgVA United States Air Force Research Laboratory Information Directorate Cyber Assurance Branch RomeNY United States

Critical infrastructure protection (CIP) is envisioned to be one of the most challenging security problems in the coming decade. One key challenge in CIP is the ability to allocate resources, either personnel or cyber, to critical infrastructures with different vulnerability and criticality levels. In this work, a contract-theoretic approach is proposed to solve the problem of resource allocation in critical infrastructure with asymmetric information. A control center (CC) is used to design contracts and offer them to infrastructures' owners. A contract can be seen as an agreement between the CC and infrastructures using which the CC allocates resources and gets rewards in return. Contracts are designed in a way to maximize the CC's benefit and motivate each infrastructure to accept a contract and obtain proper resources for its protection. Infrastructures are defined by both vulnerability levels and criticality levels which are unknown to the CC. Therefore, each infrastructure can claim that it is the most vulnerable or critical to gain more resources. A novel mechanism is developed to handle such an asymmetric information while providing the optimal contract that motivates each infrastructure to reveal its actual type. The necessary and sufficient conditions for such resource allocation contracts under asymmetric information are derived. Simulation results show that the proposed contract-theoretic approach maximizes the CC's utility while ensuring that no infrastructure has an incentive to ask for another contract, despite the lack of exact information at the CC. Copyright © 2017, The Authors. All rights reserved.

关键词： Resource allocation

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Spin-orbit torque induced dipole skyrmion motion at room temperature

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Physical Review B 2018年第10期98卷 104432-104432页

作者： Sergio A. Montoya Robert Tolley Ian Gilbert Soong-Geun Je Mi-Young Im Eric E. Fullerton Space and Naval Warfare Systems Center Pacific San Diego California 92152 USA Center for Memory and Recording Research University of California La Jolla California 92093 USA Department of Electrical and Computer Engineering University of California La Jolla California 92093 USA Center for Nanoscale Science and Technology National Institute of Standards and Technology Gaithersburg Maryland 20899 USA Center for X-Ray Optics Lawrence Berkeley National Laboratory Berkeley California 94720 USA Department of Emerging Materials Science Daegu Gyeongbuk Institute of Science and Technology Daegu Korea

We demonstrate deterministic control of dipole-field-stabilized skyrmions by means of spin-orbit torques arising from heavy transition-metal seed layers. Experiments are performed on amorphous Fe/Gd multilayers that are patterned into wires and exhibit stripe domains and dipole skyrmions at room temperature. We show that while the domain walls and skyrmions are achiral on average due to lack of Dzyaloshinskii-Moriya interactions, the Néel-like closure domain walls at each surface are chiral and can couple to spin-orbit torques. The current-induced domain evolutions are reported for different magnetic phases, including disordered stripe domains, coexisting stripes and dipole skyrmions, and a close-packed dipole skyrmion lattice. The magnetic textures exhibit motion under current excitations with a current density ∼108A/m2. By comparing the motion resulting from magnetic spin textures in Fe/Gd films with different heavy transition-metal interfaces, we confirm spin currents can be used to manipulate achiral dipole skyrmions via spin-orbit torques. We further show the current-induced response of a dipole skyrmion lattice where skyrmions move in channels between pinned regions.

关键词： Skyrmions Spin torque

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Antiresonance-like behavior in carrier-envelope-phase-sensitive optical-field photoemission from plasmonic nanoantennas

arXiv

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arXiv 2018年

作者： Keathley, Phillip D. Putnam, W.P. Vasireddy, P. Hobbs, R.G. Yang, Y. Berggren, K.K. Kärtner, F.X. Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics Massachusetts Institute of Technology 77 Massachusetts Ave. CambridgeMA02139 United States Department of Physics Center for Ultrafast Imaging University of Hamburg Luruper Chaussee 149 Hamburg22761 Germany Northrop Grumman Corporation NG Next 1 Space Park Blvd. Redondo BeachCA90278 United States School of Chemistry Trinity College Dublin Dublin 2 Ireland Notkestraße 85 Hamburg22607 Germany

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A Deep Neural Network for Simultaneous Estimation of b Jet Energy and Resolution

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Computing and Software for Big Science 2020年第1期4卷 1-20页

作者： Sirunyan, A.M. Tumasyan, A. Adam, W. Ambrogi, F. Bergauer, T. Dragicevic, M. Erö, J. Valle, A. Escalante Del Flechl, M. Frühwirth, R. Jeitler, M. Krammer, N. Krätschmer, I. Liko, D. Madlener, T. Mikulec, I. Rad, N. Schieck, J. Schöfbeck, R. Spanring, M. Spitzbart, D. Waltenberger, W. Wulz, C.-E. Zarucki, M. Drugakov, V. Mossolov, V. Gonzalez, J. Suarez Darwish, M.R. De Wolf, E.A. Croce, D. Di Janssen, X. Lelek, A. Pieters, M. Sfar, H. Rejeb Haevermaet, H. Van Mechelen, P. Van Putte, S. Van Remortel, N. Van Blekman, F. Bols, E.S. Chhibra, S.S. D’Hondt, J. De Clercq, J. Lontkovskyi, D. Lowette, S. Marchesini, I. Moortgat, S. Python, Q. Skovpen, K. Tavernier, S. Doninck, W. Van Mulders, P. Van Beghin, D. Bilin, B. Clerbaux, B. De Lentdecker, G. Delannoy, H. Dorney, B. Favart, L. Grebenyuk, A. Kalsi, A.K. Popov, A. Postiau, N. Starling, E. Thomas, L. Velde, C. Vander Vanlaer, P. Vannerom, D. Cornelis, T. Dobur, D. Khvastunov, I. Niedziela, M. Roskas, C. Tytgat, M. Verbeke, W. Vermassen, B. Vit, M. Bondu, O. Bruno, G. Caputo, C. David, P. Delaere, C. Delcourt, M. Giammanco, A. Lemaitre, V. Prisciandaro, J. Saggio, A. Marono, M. Vidal Vischia, P. Zobec, J. Alves, F.L. Alves, G.A. Silva, G. Correia Hensel, C. Moraes, A. Teles, P. Rebello Chagas, E. Belchior Batista Das Carvalho, W. Chinellato, J. Coelho, E. Da Costa, E.M. Da Silveira, G.G. De Jesus Damiao, D. De Oliveira Martins, C. De Souza, S. Fonseca Guativa, L. M. Huertas Malbouisson, H. Martins, J. Figueiredo, D. Matos Jaime, M. Medina De Almeida, M. Melo Herrera, C. Mora Mundim, L. Nogima, H. Da Silva, W. L. Prado Rosas, L. J. Sanchez Santoro, A. Sznajder, A. Thiel, M. Manganote, E. J. Tonelli Da Silva De Araujo, F. Torres Pereira, A. Vilela Bernardes, C.A. Calligaris, L. Tomei, T. R. Fernandez Perez Gregores, E.M. Lemos, D.S. Mercadante, P.G. Novaes, S.F. Padula, SandraS. Aleksandrov, A. Antchev, G. Hadjiiska, R. Iaydjiev, P. Misheva, M. Rodozov, M. Shopova, M. Sultanov, G. Bonchev, M. Dimitrov, A. Ivanov, T. Litov, L. Pavlov, B. Petkov, P. Fang, W. Gao, X. Yuan, Yerevan Physics Institute Yerevan Armenia Institut für Hochenergiephysik Wien Austria Institute for Nuclear Problems Minsk Belarus Universiteit Antwerpen Antwerpen Belgium Vrije Universiteit Brussel Brussel Belgium Université Libre de Bruxelles Bruxelles Belgium Ghent University Ghent Belgium Université Catholique de Louvain Louvain-la-Neuve Belgium Centro Brasileiro de Pesquisas Fisicas Rio de Janeiro Brazil Universidade do Estado do Rio de Janeiro Rio de Janeiro Brazil Universidade Estadual Paulista Universidade Federal do ABC São Paulo Brazil Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences Sofia Bulgaria University of Sofia Sofia Bulgaria Beihang University Beijing China Department of Physics Tsinghua University Beijing China Institute of High Energy Physics Beijing China State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China Zhejiang University Hangzhou China Universidad de Los Andes Bogota Colombia Universidad de Antioquia Medellin Colombia University of Split Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture Split Croatia University of Split Faculty of Science Split Croatia Institute Rudjer Boskovic Zagreb Croatia University of Cyprus Nicosia Cyprus Charles University Prague Czech Republic Escuela Politecnica Nacional Quito Ecuador Universidad San Francisco de Quito Quito Ecuador Academy of Scientific Research and Technology of the Arab Republic of Egypt Egyptian Network of High Energy Physics Cairo Egypt National Institute of Chemical Physics and Biophysics Tallinn Estonia Department of Physics University of Helsinki Helsinki Finland Helsinki Institute of Physics Helsinki Finland Lappeenranta University of Technology Lappeenranta Finland IRFU CEA Université Paris-Saclay Gif-sur-Yvette France Laboratoire Leprince-Ringuet CNRS/IN2P3 Ecole Polytechnique Institut Polytechnique de Paris Palaiseau France Université de Strasbourg CNRS IPH

We describe a method to obtain point and dispersion estimates for the energies of jets arising from b quarks produced in proton–proton collisions at an energy of s=13TeV at the CERN LHC. The algorithm is trained on a large sample of simulated b jets and validated on data recorded by the CMS detector in 2017 corresponding to an integrated luminosity of 41 fb-1. A multivariate regression algorithm based on a deep feed-forward neural network employs jet composition and shape information, and the properties of reconstructed secondary vertices associated with the jet. The results of the algorithm are used to improve the sensitivity of analyses that make use of b jets in the final state, such as the observation of Higgs boson decay to b b ¯. © 2020, The Author(s).

关键词： b jets CMS Deep learning Higgs boson Jet energy Jet resolution

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54.3:Invited Paper:High photoinduced ordering and controllable photostability of hydrophilic azobenzene material based on relative humidity and its application in 2D polarization gratings

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SID Symposium Digest of Technical Papers 2019年第S1期50卷

作者： Yue Shi Chenxiang Zhao Jacob Yeuk-Lung Ho Feng Song Minggang Hu Vladimir G. Chigrinov Hoi-Sing Kwok Yan Jun Liu Xiao Wei Sun Dan Luo Department of Electrical and Electronic Engineering Southern University of Science and Technology No. 1088 Xueyuan Rd. Xili Nanshan District Shenzhen Guangdong 518055 China State Key Laboratory on Advanced Displays and Optoelectronics Technologies Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong School of Physics Nankai University Weijin Road 94 Tianjin 300071 China Xi'an Modern Chemistry Research Institute Xi'an Shanxi 710065 China

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Universality of lower hybrid waves at Earth’s magnetopause

arXiv

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arXiv 2019年

作者： Graham, D.B. Khotyaintsev, Yu.V. Norgren, C. Vaivads, A. André, M. Drake, J.F. Egedal, J. Zhou, M. Le Contel, O. Webster, J.M. Lavraud, B. Kacem, I. Génot, V. Jacquey, C. Rager, A.C. Gershman, D.J. Burch, J.L. Ergun, R.E. Swedish Institute of Space Physics Uppsala Sweden Birkeland Centre for Space Science Department of Physics and Technology University of Bergen Bergen Norway Space and Plasma Physics School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden IREAP University of Maryland College ParkMD United States Department of Physics University of Wisconsin–Madison MadisonWI53706 United States Institute of Space Science and Technology Nanchang University Nanchang330031 China Laboratoire de Physique des Plasmas CNRS/Ecole Polytechnique/Sorbonne Université Univ. Paris Sud/Observatoire de Paris Paris France Department of Physics and Astronomy Rice University HoustonTX United States IRAP Université de Toulouse CNRS CNES UPS Toulouse France NASA Goddard Space Flight Center GreenbeltMD United States Department of Astronomy University of Maryland College ParkMD United States Southwest Research Institute San AntonioTX United States Laboratory of Atmospheric and Space Physics University of Colorado BoulderCO United States

Waves around the lower hybrid frequency are frequently observed at Earth’s magnetopause, and readily reach very large amplitudes. Determining the properties of lower hybrid waves is crucial because they are thought to contribute to electron and ion heating, cross-field particle diffusion, anomalous resistivity, and energy transfer between electrons and ions. All these processes could play an important role in magnetic reconnection at the magnetopause and the evolution of the boundary layer. In this paper, the properties of lower hybrid waves at Earth’s magnetopause are investigated using the Magnetospheric Multiscale (MMS) mission. For the first time, the properties of the waves are investigated using fields and direct particle measurements. The highest-resolution electron moments resolve the velocity and density fluctuations of lower hybrid waves, confirming that electrons remain approximately frozen in at lower hybrid wave frequencies. Using fields and particle moments the dispersion relation is constructed and the wave-normal angle is estimated to be close to 90◦ to the background magnetic field. The waves are shown to have a finite parallel wave vector, suggesting that they can interact with parallel propagating electrons. The observed wave properties are shown to agree with theoretical predictions, the previously used single-spacecraft method, and four-spacecraft timing analyses. These results show that single-spacecraft methods can accurately determine lower hybrid wave properties. Copyright © 2019, The Authors. All rights reserved.

关键词： Magnetopause

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Macroscopic scaling of high-order harmonics generated by two-color optimized waveforms in a hollow waveguide

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Physical Review A 2017年第1期96卷 013422-013422页

作者： Cheng Jin Kyung-Han Hong C. D. Lin Department of Applied Physics Nanjing University of Science and Technology Nanjing Jiangsu 210094 People's Republic of China Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics Massachusetts Institute of Technology (MIT) Cambridge Massachusetts 02139 USA J. R. Macdonald Laboratory Department of Physics Kansas State University Manhattan Kansas 66506 USA

We present the macroscopic scaling of high harmonics generated by two-color laser pulses interacting with Ne gas in a hollow waveguide. We demonstrate that the divergence of harmonics is inversely proportional to the waveguide radius and harmonic yields are proportional to the square of the waveguide radius when the gas pressure and waveguide length are chosen to meet the phase-matching condition. We also show that harmonic yields are inversely proportional to the ionization level of the optimized two-color waveform with proper gas pressure if waveguide radius and length are fixed. These scaling relations would help experimentalists find phase-matching conditions to efficiently generate tabletop high-flux coherent soft x rays for applications.

关键词： High-order harmonic generation Ultrafast phenomena

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Exploring interfacial exchange coupling and sublattice effect in heavy metal/ferrimagnetic insulator heterostructures using Hall measurement, XMCD and neutron reflectometry

arXiv

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arXiv 2018年

作者： Shao, Qiming Grutter, Alexander Liu, Yawen Yu, Guoqiang Yang, Chao-Yao Gilbert, Dustin A. Arenholz, Elke Shafer, Padraic Che, Xiaoyu Tang, Chi Aldosary, Mohammed Navabi, Aryan He, Qing Lin Kirby, Brian J. Shi, Jing Wang, Kang L. Department of Electrical and Computer Engineering University of California Los AngelesCA90095 United States NIST Center for Neutron Research National Institute of Standards and Technology GaithersburgMD20899-6102 United States Department of Physics and Astronomy University of California RiversideCA92521 United States Beijing National Laboratory for Condensed Matter Physics Institute of Physics Chinese Academy of Sciences Beijing100190 China Department of Materials Science and Engineering University of Tennessee KnoxvilleTN37996 United States Advanced Light Source Lawrence Berkeley National Laboratory BerkeleyCA94720 United States International Center for Quantum Materials School of Physics Peking University Beijing100871 China Department of Physics and Astronomy Department of Materials Science and Engineering University of California Los AngelesCA90095 United States Department of Physics and Astronomy King Saud University Riyadh11451 Saudi Arabia

We use temperature dependent Hall measurements to identify contributions of spin Hall, magnetic proximity, and sublattice effects to the anomalous Hall signal in heavy metal/ferrimagnetic insulator heterostructures with perpendicular magnetic anisotropy. This approach enables detection of both the magnetic proximity effect onset temperature and magnetization compensation temperature and provides essential information regarding the interfacial exchange coupling. Onset of a magnetic proximity effect yields a local extremum in the temperature dependent anomalous Hall signal, which occurs at higher temperature as magnetic insulator thickness increases. This magnetic proximity effect onset occurs at much higher temperature in Pt than W. The magnetization compensation point is identified by a sharp anomalous Hall sign change and divergent coercive field. We directly probe the magnetic proximity effect using X-ray magnetic circular dichroism and polarized neutron reflectometry, which reveal an antiferromagnetic coupling between W and magnetic insulator. At last, we summarize the exchange coupling configurations and the anomalous Hall effect sign of the magnetized heavy metal in various heavy metal/magnetic insulator heterostructures. Copyright © 2018, The Authors. All rights reserved.

关键词： Heavy metals

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Publisher Correction: Brain charts for the human lifespan

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Nature 2022年第7931期610卷 E6页

作者： R A I Bethlehem J Seidlitz S R White J W Vogel K M Anderson C Adamson S Adler G S Alexopoulos E Anagnostou A Areces-Gonzalez D E Astle B Auyeung M Ayub J Bae G Ball S Baron-Cohen R Beare S A Bedford V Benegal F Beyer J Blangero M Blesa Cábez J P Boardman M Borzage J F Bosch-Bayard N Bourke V D Calhoun M M Chakravarty C Chen C Chertavian G Chetelat Y S Chong J H Cole A Corvin M Costantino E Courchesne F Crivello V L Cropley J Crosbie N Crossley M Delarue R Delorme S Desrivieres G A Devenyi M A Di Biase R Dolan K A Donald G Donohoe K Dunlop A D Edwards J T Elison C T Ellis J A Elman L Eyler D A Fair E Feczko P C Fletcher P Fonagy C E Franz L Galan-Garcia A Gholipour J Giedd J H Gilmore D C Glahn I M Goodyer P E Grant N A Groenewold F M Gunning R E Gur R C Gur C F Hammill O Hansson T Hedden A Heinz R N Henson K Heuer J Hoare B Holla A J Holmes R Holt H Huang K Im J Ipser C R Jack A P Jackowski T Jia K A Johnson P B Jones D T Jones R S Kahn H Karlsson L Karlsson R Kawashima E A Kelley S Kern K W Kim M G Kitzbichler W S Kremen F Lalonde B Landeau S Lee J Lerch J D Lewis J Li W Liao C Liston M V Lombardo J Lv C Lynch T T Mallard M Marcelis R D Markello S R Mathias B Mazoyer P McGuire M J Meaney A Mechelli N Medic B Misic S E Morgan D Mothersill J Nigg M Q W Ong C Ortinau R Ossenkoppele M Ouyang L Palaniyappan L Paly P M Pan C Pantelis M M Park T Paus Z Pausova D Paz-Linares A Pichet Binette K Pierce X Qian J Qiu A Qiu A Raznahan T Rittman A Rodrigue C K Rollins R Romero-Garcia L Ronan M D Rosenberg D H Rowitch G A Salum T D Satterthwaite H L Schaare R J Schachar A P Schultz G Schumann M Schöll D Sharp R T Shinohara I Skoog C D Smyser R A Sperling D J Stein A Stolicyn J Suckling G Sullivan Y Taki B Thyreau R Toro N Traut K A Tsvetanov N B Turk-Browne J J Tuulari C Tzourio É Vachon-Presseau M J Valdes-Sosa P A Valdes-Sosa S L Valk T van Amelsvoort S N Vandekar L Vasung L W Victoria S Villeneuve A Villringer P E Vértes K Wagstyl Y S Wang S K Warfield V Warrier E Westman M L Westwater H C Whalley A V Witte N Yang B Yeo H Y Autism Research Centre Department of Psychiatry University of Cambridge Cambridge UK. rb643@medschl.cam.ac.uk. Brain Mapping Unit Department of Psychiatry University of Cambridge Cambridge UK. rb643@medschl.cam.ac.uk. Department of Psychiatry University of Pennsylvania Philadelphia PA USA. jakob.seidlitz@pennmedicine.upenn.edu. Department of Child and Adolescent Psychiatry and Behavioral Science The Children's Hospital of Philadelphia Philadelphia PA USA. jakob.seidlitz@pennmedicine.upenn.edu. Lifespan Brain Institute The Children's Hospital of Philadelphia and Penn Medicine Philadelphia PA USA. jakob.seidlitz@pennmedicine.upenn.edu. Department of Psychiatry University of Cambridge Cambridge UK. MRC Biostatistics Unit University of Cambridge Cambridge UK. Department of Psychiatry University of Pennsylvania Philadelphia PA USA. Lifespan Informatics & Neuroimaging Center University of Pennsylvania Philadelphia PA USA. Department of Psychology Yale University New Haven CT USA. Developmental Imaging Murdoch Children's Research Institute Melbourne Victoria Australia. Department of Medicine Monash University Melbourne Victoria Australia. UCL Great Ormond Street Institute for Child Health London UK. Weill Cornell Institute of Geriatric Psychiatry Department of Psychiatry Weill Cornell Medicine New York USA. Department of Pediatrics University of Toronto Toronto Canada. Holland Bloorview Kids Rehabilitation Hospital Toronto Canada. The Clinical Hospital of Chengdu Brain Science Institute MOE Key Lab for NeuroInformation University of Electronic Science and Technology of China Chengdu China. University of Pinar del Río "Hermanos Saiz Montes de Oca" Pinar del Río Cuba. MRC Cognition and Brain Sciences Unit University of Cambridge Cambridge UK. Autism Research Centre Department of Psychiatry University of Cambridge Cambridge UK. Department of Psychology School of Philosophy Psychology and Language Sciences University of Edinburgh Edinburgh UK. Queen's

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