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作者： Tsutsumi, Takayoshi Ishikawa, Kenji Takeda, Keigo Kondo, Hiroki Ohta, Takayuki Ito, Masafumi Sekine, Makoto Hori, Masaru Department of Electrical Engineering and Computer Science Graduate School of Engineering Nagoya University Nagoya464-8603 Japan Department of Electrical and Electronic Engineering Faculty of Science and Technology Meijo University Nagoya468-8502 Japan

Actual Si wafer temperatures during plasma etching processes were temporally measured using a real-time wafer-temperature monitoring system with autocorrelation-type frequency-domain low-coherence interferometry. Indeed, the Si wafer temperature, which was 20 °C before the process, rapidly increased in 10 s. Then, the temperature rise gradually slowed, but continued to increase and reached 45 °C after 600 s. This can be due to the fact that there exists a heat source for the wafer other than the plasma. Reasonably, the Si wafer was found to be sensitive to the temperature of the disk covering the area around the wafer, i.e., the focus ring. Usually, the temperature of the focus ring is not controlled and causes the radial distribution of Si wafer temperature. Consequently, the Si wafer temperature should be controlled with the temperature increase of other heat sources, especially the focus ring. © 2016 The Japan Society of Applied Physics.

关键词： Heat flux

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Search for the rare decays W+→ Ds+γ and Z→ D0γ at LHCb

arXiv

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arXiv 2022年

作者： Aaij, R. Abdelmotteleb, A.S.W. Beteta, C. Abellan Abudinén, F. Ackernley, T. Adeva, B. Adinolfi, M. Adlarson, P. Afsharnia, H. Agapopoulou, C. Aidala, C.A. Ajaltouni, Z. Akar, S. Akiba, K. Albrecht, J. Alessio, F. Alexander, M. Albero, A. Alfonso Aliouche, Z. Cartelle, P. Alvarez Amalric, R. Amato, S. Amey, J.L. Amhis, Y. An, L. Anderlini, L. Andersson, M. Andreianov, A. Andreotti, M. Andreou, D. Ao, D. Archilli, F. Artamonov, A. Artuso, M. Aslanides, E. Atzeni, M. Audurier, B. Bachmann, S. Bachmayer, M. Back, J.J. Bailly-Reyre, A. Rodriguez, P. Baladron Balagura, V. Baldini, W. de Souza Leite, J. Baptista Barbetti, M. Barlow, R.J. Barsuk, S. Barter, W. Bartolini, M. Baryshnikov, F. Basels, J.M. Bassi, G. Batsukh, B. Battig, A. Bay, A. Beck, A. Becker, M. Bedeschi, F. Bediaga, I.B. Beiter, A. Belavin, V. Belin, S. Bellee, V. Belous, K. Belov, I. Belyaev, I. Benane, G. Bencivenni, G. Ben-Haim, E. Berezhnoy, A. Bernet, R. Andres, S. Bernet Berninghoff, D. Bernstein, H.C. Bertella, C. Bertolin, A. Betancourt, C. Betti, F. Bezshyiko, Ia. Bhasin, S. Bhom, J. Bian, L. Bieker, M.S. Biesuz, N.V. Bifani, S. Billoir, P. Biolchini, A. Birch, M. Bishop, F.C.R. Bitadze, A. Blago, M.P. Blake, T. Blanc, F. Blank, J.E. Blusk, S. Bobulska, D. Boelhauve, J.A. Garcia, O. Boente Boettcher, T. Boldyrev, A. Bolognani, C.S. Bolzonella, R. Bondar, N. Borgato, F. Borghi, S. Borsato, M. Borsuk, J.T. Bouchiba, S.A. Bowcock, T.J.V. Boyer, A. Bozzi, C. Bradley, M.J. Braun, S. Rodriguez, A. Brea Brodzicka, J. Gonzalo, A. Brossa Brown, J. Brundu, D. Buonaura, A. Buonincontri, L. Burke, A.T. Burr, C. Bursche, A. Butkevich, A. Butter, J.S. Buytaert, J. Byczynski, W. Cadeddu, S. Cai, H. Calabrese, R. Calefice, L. Cali, S. Calladine, R. Calvi, M. Gomez, M. Calvo Campana, P. Perez, D.H. Campora Quezada, A.F. Campoverde Capelli, S. Capriotti, L. Carbone, A. Carboni, G. Cardinale, R. Cardini, A. Carniti, P. Carus, L. Vidal, A. Casais Caspary, R. Rio de Janeiro Brazil Rio de Janeiro Brazil Center for High Energy Physics Tsinghua University Beijing China Beijing China School of Physics State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China University of Chinese Academy of Sciences Beijing China Institute of Particle Physics Central China Normal University Hubei Wuhan China Université Savoie Mont Blanc CNRS IN2P3-LAPP Annecy France Université Clermont Auvergne CNRS IN2P3 LPC Clermont-Ferrand France Aix Marseille Univ CNRS IN2P3 CPPM Marseille France Université Paris-Saclay CNRS IN2P3 IJCLab Orsay France Laboratoire Leprince-Ringuet CNRS IN2P3 Ecole Polytechnique Institut Polytechnique de Paris Palaiseau France LPNHE Sorbonne Université Paris Diderot Sorbonne Paris Cité CNRS IN2P3 Paris France I. Physikalisches Institut RWTH Aachen University Aachen Germany Fakultät Physik Technische Universität Dortmund Dortmund Germany Heidelberg Germany Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany School of Physics University College Dublin Dublin Ireland INFN Sezione di Bari Bari Italy INFN Sezione di Bologna Bologna Italy INFN Sezione di Ferrara Ferrara Italy INFN Sezione di Firenze Firenze Italy INFN Laboratori Nazionali di Frascati Frascati Italy INFN Sezione di Genova Genova Italy INFN Sezione di Milano Milano Italy INFN Sezione di Milano-Bicocca Milano Italy INFN Sezione di Cagliari Monserrato Italy Università degli Studi di Padova Università e INFN Padova Padova Italy INFN Sezione di Pisa Pisa Italy INFN Sezione di Roma La Sapienza Roma Italy INFN Sezione di Roma Tor Vergata Roma Italy Nikhef National Institute for Subatomic Physics Amsterdam Netherlands Nikhef National Institute for Subatomic Physics VU University Amsterdam Amsterdam Netherlands AGH - University of Science and Technology Faculty of Physics and Applied Computer Science Kraków Poland Henryk Niewodniczanski Institute of Nuclear Phys

A search for the rare decays W+ → Ds+γ and Z → D0γ is performed using proton-proton collision data collected by the LHCb experiment at a centre-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 2.0 fb−1. No significant signal is observed for either decay mode and upper limits on their branching fractions are set using W+ → µ+ν and Z → µ+µ− decays as normalization channels. The upper limits are 6.5 × 10−4 and 2.1 × 10−3 at 95% confidence level for the W+ → Ds+γ and Z → D0γ decay modes, respectively. This is the first reported search for the Z → D0γ decay, while the upper limit on the W+ → Ds+γ branching fraction improves upon the previous best limit. © 2022, CC BY.

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Satellite-Relayed Intercontinental Quantum Network

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Physical Review Letters 2018年第3期120卷 030501-030501页

作者： Sheng-Kai Liao Wen-Qi Cai Johannes Handsteiner Bo Liu Juan Yin Liang Zhang Dominik Rauch Matthias Fink Ji-Gang Ren Wei-Yue Liu Yang Li Qi Shen Yuan Cao Feng-Zhi Li Jian-Feng Wang Yong-Mei Huang Lei Deng Tao Xi Lu Ma Tai Hu Li Li Nai-Le Liu Franz Koidl Peiyuan Wang Yu-Ao Chen Xiang-Bin Wang Michael Steindorfer Georg Kirchner Chao-Yang Lu Rong Shu Rupert Ursin Thomas Scheidl Cheng-Zhi Peng Jian-Yu Wang Anton Zeilinger Jian-Wei Pan Hefei National Laboratory for Physical Sciences at the Microscale and Department of Modern Physics University of Science and Technology of China Hefei 230026 China Chinese Academy of Sciences (CAS) Center for Excellence and Synergetic Innovation Center in Quantum Information and Quantum Physics University of Science and Technology of China Shanghai 201315 China Vienna Center for Quantum Science and Technology Faculty of Physics University of Vienna Vienna 1090 Austria Institute for Quantum Optics and Quantum Information Austrian Academy of Sciences Vienna 1090 Austria School of Computer National University of Defense Technology Changsha 410073 China Key Laboratory of Space Active Opto-Electronic Technology Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai 200083 China National Astronomical Observatories Chinese Academy of Sciences Beijing 100012 China Key Laboratory of Optical Engineering Institute of Optics and Electronics Chinese Academy of Sciences Chengdu 610209 China Shanghai Engineering Center for Microsatellites Shanghai 201203 China State Key Laboratory of Astronautic Dynamics Xi’an Satellite Control Center Xi’an 710061 China Xinjiang Astronomical Observatory Chinese Academy of Sciences Urumqi 830011 China National Space Science Center Chinese Academy of Sciences Beijing 100080 China Space Research Institute Austrian Academy of Sciences Graz 8042 Austria

We perform decoy-state quantum key distribution between a low-Earth-orbit satellite and multiple ground stations located in Xinglong, Nanshan, and Graz, which establish satellite-to-ground secure keys with ∼kHz rate per passage of the satellite Micius over a ground station. The satellite thus establishes a secure key between itself and, say, Xinglong, and another key between itself and, say, Graz. Then, upon request from the ground command, Micius acts as a trusted relay. It performs bitwise exclusive or operations between the two keys and relays the result to one of the ground stations. That way, a secret key is created between China and Europe at locations separated by 7600 km on Earth. These keys are then used for intercontinental quantum-secured communication. This was, on the one hand, the transmission of images in a one-time pad configuration from China to Austria as well as from Austria to China. Also, a video conference was performed between the Austrian Academy of Sciences and the Chinese Academy of Sciences, which also included a 280 km optical ground connection between Xinglong and Beijing. Our work clearly confirms the Micius satellite as a robust platform for quantum key distribution with different ground stations on Earth, and points towards an efficient solution for an ultralong-distance global quantum network.

关键词： Quantum channels Quantum communication Quantum cryptography Quantum networks Quantum optics

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Variable Stiffness Link (VSL): Toward inherently safe robotic manipulators

Variable Stiffness Link (VSL): Toward inherently safe roboti...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Agostino Stilli Luca Grattarola Hauke Feldmann Helge A. Wurdemann Kaspar Althoefer Department of Informatics King's College London Strand London UK Faculty of Technology Hochschule Emden/Leer Emden Germany Department of Mechanical Engineering University College London Gower St London UK School of Electronic Engineering & Computer Science Queen Mary University of London London UK

Nowadays, the field of industrial robotics focuses particularly on collaborative robots that are able to work closely together with a human worker in an inherently safe way. To detect and prevent harmful collisions, a number of solutions both from the actuation and sensing sides have been suggested. However, due to the rigid body structures of the majority of systems, the risk of harmful collisions with human operators in a collaborative environment remains. In this paper, we propose a novel concept for a collaborative robot made of Variable Stiffness Links (VSLs). The idea is to use a combination of silicone based structures and fabric materials to create stiffness-controllable links that are pneumatically actuated. According to the application, it is possible to change the stiffness of the links by varying the value of pressure inside their structure. Moreover, the pressure readings from the pressure sensors inside the regulators can be utilised to detect collisions between the manipulator body and a human worker, for instance. A set of experiments are performed with the aim to assess the performance of the VSL when embedded in a robotic manipulator. The effects of different loads and pressures on the workspace of the manipulator are evaluated together with the efficiency of the collision detection control system and hardware.

关键词： Collision avoidance Manipulators Robot sensing systems Service robots Shape

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Effects of deep neural network parameters on classification of bearing faults 42

Effects of deep neural network parameters on classification ...

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42nd Conference of the Industrial electronics Society, IECON 2016

作者： Ahmed, H.O.A. Dennis Wong, M.L. Nandi, A.K. Department of Electronic and Computer Engineering Brunel University London UxbridgeUB8 3PH United Kingdom Faculty of Engineering Computing and Science Swinburne University of Technology Sarawak Campus Sarawak Malaysia College of Electronic and Information Engineering Tongji University Shanghai China

ISBN: (纸本)9781509034741

Automatic fault detection and classification for roller element bearings is an important issue for rotating machine condition monitoring. In this paper, we classify roller element bearings fault classes under two and three hidden layers' deep neural network framework based on sparse Autoencoder. This allows us to learn and extract features for the bearing vibration samples in an unsupervised manner using the encoder part of the Autoencoder. Then we form the deep neural network by stacking the encoders in each stage of the hidden layers together with the softmax layer. Classification performance using the full deep network and backpropagation compared, and effects of different deep neural network parameters on the classification accuracy are studied here. © 2016 IEEE.

关键词： Bearing Fault Classification Deep Neural Network (DNN) Machine Condition Monitoring Sparse Autoencoder

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Erratum to: Study of B s 0 → J / ψπ + π − K + K − decays

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Journal of High Energy Physics 2021年第4期2021卷 1-7页

作者： R. Aaij C. Abellán Beteta T. Ackernley B. Adeva M. Adinolfi H. Afsharnia C. A. Aidala S. Aiola Z. Ajaltouni S. Akar J. Albrecht F. Alessio M. Alexander A. Alfonso Albero Z. Aliouche G. Alkhazov P. Alvarez Cartelle S. Amato Y. Amhis L. An L. Anderlini A. Andreianov M. Andreotti F. Archilli A. Artamonov M. Artuso K. Arzymatov E. Aslanides M. Atzeni B. Audurier S. Bachmann M. Bachmayer J. J. Back S. Baker P. Baladron Rodriguez V. Balagura W. Baldini J. Baptista Leite R. J. Barlow S. Barsuk W. Barter M. Bartolini F. Baryshnikov J. M. Basels G. Bassi B. Batsukh A. Battig A. Bay M. Becker F. Bedeschi I. Bediaga A. Beiter V. Belavin S. Belin V. Bellee K. Belous I. Belov I. Belyaev G. Bencivenni E. Ben-Haim A. Berezhnoy R. Bernet D. Berninghoff H. C. Bernstein C. Bertella E. Bertholet A. Bertolin C. Betancourt F. Betti M. O. Bettler Ia. Bezshyiko S. Bhasin J. Bhom L. Bian M. S. Bieker S. Bifani P. Billoir M. Birch F. C. R. Bishop A. Bizzeti M. Bjørn M. P. Blago T. Blake F. Blanc S. Blusk D. Bobulska J. A. Boelhauve O. Boente Garcia T. Boettcher A. Boldyrev A. Bondar N. Bondar S. Borghi M. Borisyak M. Borsato J. T. Borsuk S. A. Bouchiba T. J. V. Bowcock A. Boyer C. Bozzi M. J. Bradley S. Braun A. Brea Rodriguez M. Brodski J. Brodzicka A. Brossa Gonzalo D. Brundu A. Buonaura C. Burr A. Bursche A. Butkevich J. S. Butter J. Buytaert W. Byczynski S. Cadeddu H. Cai R. Calabrese L. Calefice L. Calero Diaz S. Cali R. Calladine M. Calvi M. Calvo Gomez P. Camargo Magalhaes A. Camboni P. Campana D. H. Campora Perez A. F. Campoverde Quezada S. Capelli L. Capriotti A. Carbone G. Carboni R. Cardinale A. Cardini I. Carli P. Carniti L. Carus K. Carvalho Akiba A. Casais Vidal G. Casse M. Cattaneo G. Cavallero S. Celani J. Cerasoli A. J. Chadwick M. G. Chapman M. Charles Ph. Charpentier G. Chatzikonstantinidis C. A. Chavez Barajas M. Chefdeville C. Chen S. Chen A. Chernov S.-G. Chitic V. Chobanova S. Cholak M. Chrzaszcz A. Chubykin V. Chulikov P. Ciambrone M. F. Cicala X. Cid Vidal G. Ciezarek P. E. L. Clarke M. Clemencic H. V. Cliff J. C Nikhef National Institute for Subatomic Physics Amsterdam Netherlands Physik-Institut Universität Zürich Zürich Switzerland Oliver Lodge Laboratory University of Liverpool Liverpool United Kingdom Instituto Galego de Física de Altas Enerxías (IGFAE) Universidade de Santiago de Compostela Santiago de Compostela Spain H.H. Wills Physics Laboratory University of Bristol Bristol United Kingdom Université Clermont Auvergne CNRS/IN2P3 LPC Clermont-Ferrand France University of Michigan Ann Arbor United States INFN Sezione di Milano Milano Italy University of Cincinnati Cincinnati United States Fakultät Physik Technische Universität Dortmund Dortmund Germany European Organization for Nuclear Research (CERN) Geneva Switzerland School of Physics and Astronomy University of Glasgow Glasgow United Kingdom ICCUB Universitat de Barcelona Barcelona Spain Department of Physics and Astronomy University of Manchester Manchester United Kingdom Petersburg Nuclear Physics Institute NRC Kurchatov Institute (PNPI NRC KI) Gatchina Russia Universidade Federal do Rio de Janeiro (UFRJ) Rio de Janeiro Brazil Université Paris-Saclay CNRS/IN2P3 IJCLab Orsay France INFN Sezione di Firenze Firenze Italy INFN Sezione di Ferrara Ferrara Italy Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany Institute for High Energy Physics NRC Kurchatov Institute (IHEP NRC KI) Protvino Russia Syracuse University Syracuse United States Yandex School of Data Analysis Moscow Russia Aix Marseille Univ CNRS/IN2P3 CPPM Marseille France Institute of Physics Ecole Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland Department of Physics University of Warwick Coventry United Kingdom Imperial College London London United Kingdom Centro Brasileiro de Pesquisas Físicas (CBPF) Rio de Janeiro Brazil INFN Sezione di Genova Genova Italy Università di Genova Genova Italy National University of Science and Technology “MISIS” Moscow Russia I. Physikalisches Ins

The original article has been corrected.

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Observation of Multiplicity Dependent Prompt χc1(3872) and ψ(2S) Production in pp Collisions

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Physical Review Letters 2021年第9期126卷 092001-092001页

作者： R. Aaij C. Abellán Beteta T. Ackernley B. Adeva M. Adinolfi H. Afsharnia C. A. Aidala S. Aiola Z. Ajaltouni S. Akar J. Albrecht F. Alessio M. Alexander A. Alfonso Albero Z. Aliouche G. Alkhazov P. Alvarez Cartelle S. Amato Y. Amhis L. An L. Anderlini A. Andreianov M. Andreotti F. Archilli A. Artamonov M. Artuso K. Arzymatov E. Aslanides M. Atzeni B. Audurier S. Bachmann M. Bachmayer J. J. Back S. Baker P. Baladron Rodriguez V. Balagura W. Baldini J. Baptista Leite R. J. Barlow S. Barsuk W. Barter M. Bartolini F. Baryshnikov J. M. Basels G. Bassi B. Batsukh A. Battig A. Bay M. Becker F. Bedeschi I. Bediaga A. Beiter V. Belavin S. Belin V. Bellee K. Belous I. Belov I. Belyaev G. Bencivenni E. Ben-Haim A. Berezhnoy R. Bernet D. Berninghoff H. C. Bernstein C. Bertella E. Bertholet A. Bertolin C. Betancourt F. Betti M. O. Bettler Ia. Bezshyiko S. Bhasin J. Bhom L. Bian M. S. Bieker S. Bifani P. Billoir M. Birch F. C. R. Bishop A. Bizzeti M. Bjørn M. P. Blago T. Blake F. Blanc S. Blusk D. Bobulska J. A. Boelhauve O. Boente Garcia T. Boettcher A. Boldyrev A. Bondar N. Bondar S. Borghi M. Borisyak M. Borsato J. T. Borsuk S. A. Bouchiba T. J. V. Bowcock A. Boyer C. Bozzi M. J. Bradley S. Braun A. Brea Rodriguez M. Brodski J. Brodzicka A. Brossa Gonzalo D. Brundu A. Buonaura C. Burr A. Bursche A. Butkevich J. S. Butter J. Buytaert W. Byczynski S. Cadeddu H. Cai R. Calabrese L. Calefice L. Calero Diaz S. Cali R. Calladine M. Calvi M. Calvo Gomez P. Camargo Magalhaes A. Camboni P. Campana D. H. Campora Perez A. F. Campoverde Quezada S. Capelli L. Capriotti A. Carbone G. Carboni R. Cardinale A. Cardini I. Carli P. Carniti K. Carvalho Akiba A. Casais Vidal G. Casse M. Cattaneo G. Cavallero S. Celani J. Cerasoli A. J. Chadwick M. G. Chapman M. Charles Ph. Charpentier G. Chatzikonstantinidis C. A. Chavez Barajas M. Chefdeville C. Chen S. Chen A. Chernov S.-G. Chitic V. Chobanova S. Cholak M. Chrzaszcz A. Chubykin V. Chulikov P. Ciambrone M. F. Cicala X. Cid Vidal G. Ciezarek P. E. L. Clarke M. Clemencic H. V. Cliff J. Closier J. Nikhef National Institute for Subatomic Physics Amsterdam Netherlands Physik-Institut Universität Zürich Zürich Switzerland Oliver Lodge Laboratory University of Liverpool Liverpool United Kingdom Instituto Galego de Física de Altas Enerxías (IGFAE) Universidade de Santiago de Compostela Santiago de Compostela Spain H.H. Wills Physics Laboratory University of Bristol Bristol United Kingdom Université Clermont Auvergne CNRS/IN2P3 LPC Clermont-Ferrand France University of Michigan Ann Arbor Michigan USA (associated with Syracuse University Syracuse New York USA) INFN Sezione di Milano Milano Italy University of Cincinnati Cincinnati Ohio USA Fakultät Physik Technische Universität Dortmund Dortmund Germany European Organization for Nuclear Research (CERN) Geneva Switzerland School of Physics and Astronomy University of Glasgow Glasgow United Kingdom ICCUB Universitat de Barcelona Barcelona Spain Department of Physics and Astronomy University of Manchester Manchester United Kingdom Petersburg Nuclear Physics Institute NRC Kurchatov Institute (PNPI NRC KI) Gatchina Russia Universidade Federal do Rio de Janeiro (UFRJ) Rio de Janeiro Brazil Université Paris-Saclay CNRS/IN2P3 IJCLab Orsay France INFN Sezione di Firenze Firenze Italy INFN Sezione di Ferrara Ferrara Italy Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany Institute for High Energy Physics NRC Kurchatov Institute (IHEP NRC KI) Protvino Russia Syracuse University Syracuse New York USA Yandex School of Data Analysis Moscow Russia Aix Marseille Université CNRS/IN2P3 CPPM Marseille France Institute of Physics Ecole Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland Department of Physics University of Warwick Coventry United Kingdom Imperial College London London United Kingdom Centro Brasileiro de Pesquisas Físicas (CBPF) Rio de Janeiro Brazil INFN Sezione di Genova Genova Italy I. Physikalisches Institut RWTH Aachen University Aachen Ge

The production of χc1(3872) and ψ(2S) hadrons is studied as a function of charged particle multiplicity in pp collisions at a center-of-mass energy of 8 TeV, corresponding to an integrated luminosity of 2 fb−1. For both states, the fraction that is produced promptly at the collision vertex is found to decrease as charged particle multiplicity increases. The ratio of χc1(3872) to ψ(2S) cross sections for promptly produced particles is also found to decrease with multiplicity, while no significant dependence on multiplicity is observed for the equivalent ratio of particles produced away from the collision vertex in b-hadron decays. This behavior is consistent with a calculation that models the χc1(3872) structure as a compact tetraquark. Comparisons with model calculations and implications for the binding energy of the χc1(3872) state are discussed.

关键词： Quark model Exotic mesons Quarkonia

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Opportunities and challenges for spintronics in the microelectronic industry

arXiv

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arXiv 2019年

作者： Dieny, B. Prejbeanu, I.L. Garello, K. Gambardella, P. Freitas, P. Lehndorff, R. Raberg, W. Ebels, U. Demokritov, S.O. Akerman, J. Deac, A. Pirro, P. Adelmann, C. Anane, A. Chumak, A.V. Hiroata, A. Mangin, S. Cengiz Onbaşlı, M. D'Aquino, M. Prenat, G. Finocchio, G. Lopez Diaz, L. Chantrell, R. Chubykalo-Fesenko, O. Bortolotti, P. Univ. Grenoble Alpes CEA CNRS Grenoble INP IRIG SPINTEC Grenoble France Imec Leuven Belgium Laboratory for Magnetism and Interface Physics Department of Materials ETH Zurich Zurich Switzerland Braga Portugal Lisboa Portugal Sensitec GmbH Mainz Germany Infineon Technologies AG Neubiberg Germany Institute for Applied Physics University of Muenster Muenster Germany Department of Physics University of Gothenburg Sweden Department of Applied Physics School of Engineering Sciences KTH Royal Institute of Technology Sweden Helmholtz-Zentrum Dresden-Rossendorf Institute of Ion Beam Physics and Materials Research Dresden Germany Fachbereich Physik and Landesforschungszentrum OPTIMAS Technische Universität Kaiserslautern Kaiserslautern Germany Unité Mixte de Physique CNRS-Thales Univ. Paris-Sud Univ. Paris-Saclay Palaiseau France Faculty of Physics University of Vienna Vienna Austria Department of Electronic Engineering University of York Heslington United Kingdom Institut Jean Lamour Université de Lorraine Nancy France Koc University Istanbul Turkey Department of Engineering University of Naples "Parthenope" Naples Italy Department of Mathematical and Computer Sciences Physical Sciences and Earth Sciences University of Messina Messina Italy Universidad de Salamanca Department of Applied Physics Salamanca Spain Department of Physics University of York Heslington United Kingdom Instituto de Ciencia de Materiales de Madrid CSIC Spain

Spin-based electronics has evolved into a major field of research that broadly encompasses different classes of materials, magnetic systems, and devices. This review describes recent advances in spintronics that have the potential to impact key areas of information technology and microelectronics. We identify four main axes of research: nonvolatile memories, magnetic sensors, microwave devices, and beyond-CMOS logic. We discuss state-of-the-art developments in these areas as well as opportunities and challenges that will have to be met, both at the device and system level, in order to integrate novel spintronic functionalities and materials in mainstream microelectronic platforms. Copyright © 2019, The Authors. All rights reserved.

关键词： Microelectronics

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Highly Sensitive Escherichia coli Shear Horizontal Surface Acoustic Wave Biosensor with Silicon Dioxide Nanostructures

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Procedia technology 2017年 27卷 29-30页

作者： S.T. Ten U. Hashim A.N. Nordin S.C.B. Gopinath W.W. Liu K.L. Foo S.T. Sam S.F.A. Rahman C.H. Voon Malaysian Agricultural Research And Development Institute Serdang 43400 Malaysia Institute of Nano Electronic Engineering Universiti Malaysia Perlis Kangar 01000 Malaysia School of Microelectronic Engineering Universiti Malaysia Perlis Arau 026000 Malaysia Department of Electrical and Computer Engineering Engineering Faculty International Islamic University Malaysia Kuala Lumpur 53100 Malaysia School of Bioprocess Engineering Universiti Malaysia Perlis Arau 026000 Malaysia Institute of Advanced Technology Universiti Putra Malaysia Serdang 43400 Malaysia

In this study, a shear horizontal surface acoustic wave (SHSAW) was used for Escherichia coli ( E. coli ) detection. E. coli O157:H7 serotype, a dangerous strain among 225 E. coli unique serotypes was chosen as test sample. A few cells of this bacterium are able to cause young children to be most vulnerable to serious complications. Presence of higher than 1 cfu E. coli O157:H7 in 25 g of food has been considered as a dangerous level. The SHSAW biosensor was fabricated on 64 0 YX LiNbO 3 substrate. Five different interdigital transducers (IDT) parameters (Fig. 1(a)-1(e)) SHSAW were fabricated to compare the mass loading sensitivity before advancing to the bio sensing application: four of them were 32 μm pitch size (with the average of synchronous frequency, f 0 = 144.303 MHz) and one was 12 μm pitch size (with f 0 = 384.948 MHz). All of the four 32 μm pitch sizes were with different combination of delay line length (3.904 mm and 7.296 mm) and aperture size (1.376 mm and 2.464 mm). As for the 12 μm pitch size device, it was with 2.1 mm delay line length and 0.72 mm aperture size. Eventually, 12 μm pitch size device was selected for oligonucleotides detection and its mass loading sensitivity was 1558.04 MHz/ (mg/mm 2 ), 4.8-fold higher than the most sensitivity one in 32 μm pitch size). Its sensitivity was enhanced by depositing 130 nm thin layer of SiO2 nanostructures with particle size less than 70 nm (Fig. 1(f)-1(g)). The nanostructures act both as a waveguide as well as the surface physical modification of the sensor prior to biomolecule immobilization. For this work, a specific DNA sequence from E. coli O157:H7 having 22 mers as an amine-terminated probe ssDNA was immobilized on the thin film sensing area through chemical functionalization [(CHO-(CH2)3-CHO) and (APTES; NH2-(CH2)3-Si(OC2H5)3]. The high-performance of sensor was shown with the oligonucleotide target and attained the sensitivity of 0.6439 nM/ 0.1 kHz and detection limit was down to 1.8 femtomolar (1

关键词： E. coli O157:H7 shear horizontal surface acoustic wave (SHSAW) surface functionalization Deoxyribonucleic acid (DNA) hybridization

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Wireless relay system with two sections in the presence of K-μ and η-μ Multipath fading

Wireless relay system with two sections in the presence of K...

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2016 International Conference on engineering and MIS, ICEMIS 2016

作者： Krstic, Dragana Stefanovic, Mihajlo Milenkovic, Vladeta Aljawarneh, Shadi Yassein, Muneer Masadeh Bani Popovic, Zoran Faculty of Electronic Engineering University of Nis Nis Serbia Department of Software Engineering Jordan University of Science and Technology Irbid22110 Jordan Department of Computer Science Jordan University of Science and Technology Irbid Jordan Technical College of Vocational Studies Zvecan Serbia

ISBN: (纸本)9781509055791

Wireless communication relay radio system with two sections is described in this paper. In the first section, signal envelope is described with K-μ distribution and in the second section signal envelope is modeled by using η-μ distribution. Probability density function (PDF) and cumulative distribution function (CDF) of minimum of signal envelopes at sections are calculated. Then, the outage probabilities are calculated for two cases. In the first case, the outage probability is defined as probability when signal envelope falls below the predetermined threshold at any section, and the second case when the signal envelope at the output of relay system falls below the predetermined threshold. The influence of the Rician factor of K-μ distribution and parameter η of η-μ distribution on the outage probability is analyzed and discussed. © 2016 IEEE.

关键词： Probability density function

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