检索结果-内蒙古大学图书馆

Comment on 'Inherent security of phase coding quantum key distribution systems against detector blinding attacks' (2018 Laser Phys. Lett. 15 095203)

引用

Laser Physics Letters 2018年第1期16卷

作者： Aleksey Fedorov Ilja Gerhardt Anqi Huang Jonathan Jogenfors Yury Kurochkin Antía Lamas-Linares Jan-Åke Larsson Gerd Leuchs Lars Lydersen Vadim Makarov Johannes Skaar Russian Quantum Center Skolkovo Moscow 143025 Russia QRate Skolkovo Moscow 143025 Russia QApp Skolkovo Moscow 143025 Russia Institute of Physics University of Stuttgart and Institute for Quantum Science and Technology Pfaffenwaldring 57 D-70569 Stuttgart Germany Max Planck Institute for Solid State Research Heisenbergstraße 1 D-70569 Stuttgart Germany Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer National University of Defense Technology Changsha 410073 People's Republic of China Department of Electrical Engineering Linköping University SE-58183 Linköping Sweden Texas Advanced Computing Center The University of Texas at Austin Austin Texas United States of America Max Planck Institute for the Science of Light and University of Erlangen-Nürnberg D-91058 Erlangen Germany Kringsjåvegen 3E NO-7032 Trondheim Norway National University of Science and Technology MISIS Moscow 119049 Russia Department of Technology Systems University of Oslo Box 70 NO-2027 Kjeller Norway

来源：评论

学校读者我要写书评

暂无评论

Erratum to: Rendezvous based routing protocol for wireless sensor networks with mobile sink

引用

The Journal of Supercomputing 2016年第3期73卷 1189-1191页

作者： Suraj Sharma Deepak Puthal Sanjay Kumar Jena Albert Y. Zomaya Rajiv Ranjan Department of Computer Science and Engineering IIIT Bhubaneswar Khurda India CSIRO Data61 Sydney Australia Department of CSE National Institute of Technology Rourkela Rourkela India School of Information Technologies The University of Sydney Sydney Australia School of Computing Science Newcastle University Newcastle upon Tyne UK School of Computer Science China University of Geosciences Beijing China

来源：评论

学校读者我要写书评

暂无评论

A survey on software defined networking and its applications

引用

Frontiers of computer science 2015年第6期9卷 827-845页

作者： Yili GONG Wei HUANG Wenjie WANG Yingchun LEI Computer School Wuhan University Wuhan 430072 China Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor 48109 USA Simulation Training Center Chongqing Communication Institute Chongqing 400035 China Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

Software defined networking （SDN） achieves network routing management with logically centralized con- trol software that decouples the network data plane from the control plane. This new design paradigm greatly emancipates network innovation. This paper introduces the background of SDN technology with its design principles, explains its differentiation, and summarizes the research efforts on SDN network architecture, components and applications. Based on the observation of current SDN development, this paper ana- lyzes the potential driving forces of SDN deployment and its future trend.

关键词： software defined networking （SDN） OpenFlow

来源：评论

学校读者我要写书评

暂无评论

A new evolving clustering algorithm for online data streams 10

A new evolving clustering algorithm for online data streams

引用

10th IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2016

作者： Bezerra, Clauber Gomes Costa, Bruno Sielly Jales Guedes, Luiz Affonso Angelov, Plamen Parvanov Campus EaD Federal Institute of Rio Grande do Norte - IFRN Natal Brazil Campus Natal - Zona Norte Federal Institute of Rio Grande do Norte - IFRN Natal Brazil Department of Computer Engineering and Automation Federal University of Rio Grande do Norte - UFRN Brazil Lancaster University Data Science Group School of Computing and Communications LancasterLA1 4WA United Kingdom Department of Excellence Carlos III University Madrid Spain

ISBN: (纸本)9781509025831

In this paper, we propose a new approach to fuzzy data clustering. We present a new algorithm, called TEDA-Cloud, based on the recently introduced TEDA approach to outlier detection. TEDA-Cloud is a statistical method based on the concepts of typicality and eccentricity able to group similar data observations. Instead of the traditional concept of clusters, the data is grouped in the form of granular unities called data clouds, which are structures with no pre-defined shape or set boundaries. TEDA-Cloud is a fully autonomous and self-evolving algorithm that can be used for data clustering of online data streams and applications that require real-time response. Since it is fully autonomous, TEDA-Cloud is able to "start from scratch" (from an empty knowledge basis), create, update and merge data clouds, in a fully autonomous manner, without requiring any user-defined parameters (e.g. number of clusters, size, radius) or previous training. Moreover, TEDA-Cloud, unlike most of the traditional statistical approaches, does not rely on a specific data distribution or on the assumption of independence of data samples. The results, obtained from multiple data sets that are very well known in literature, are very encouraging. ©2016 IEEE.

关键词： Clustering algorithms

来源：评论

学校读者我要写书评

暂无评论

Effect of electric vehicle parking lots' charging demand as dispatchable loads on power systems loss

Effect of electric vehicle parking lots' charging demand as ...

引用

IEEE International Conference on Electro-Information Technology

作者： M. Hadi Amini Kianoosh G. Boroojeni Cheng Jian Wang Arash Nejadpak S.S. Iyengar O. Karabasoglu Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA SYSU-CMU Joint Institute of Engineering Pittsburgh SYSU Guangzhou China School of Computing and Information Science Florida International University FL USA Electrical Engineering Department University of North DakotaGrand Forks ND United States

ISBN: (纸本)9781467399869

One of the major concerns of future power systems is to utilize EVs as effective flexible means of controlling load demand. In this paper, the main goal is to evaluate the effect of large-scale utilization of electric vehicles (EV) on the total system loss. In this context, first the EVs' charging demand will be obtained using two probabilistic parameters: 1) expected driven distance, 2) expected duration of charging. The result is EV demand for 24 hours period which are added to the demand at load points. Eventually we solve the optimal power flow problem in each hour. We consider parking lots as demand aggregators to find the total charging demand at each hours based on single EV's electricity consumption. Afterwards, we investigate the effect of parking lots characteristics (charging rate, capacity in terms of number of EVs, and location in the power network) on the network's hourly loss and daily energy loss. To this end, we define four scenarios to determine the effect of charging rate and distribution of EVs over the network on the system loss. We also evaluate the effect of EV parking lot's location on the system loss.

关键词： Probabilistic logic Electric vehicles Smart grids Energy loss Load flow Batteries

来源：评论

学校读者我要写书评

暂无评论

Construction of KAGRA: An underground gravitational wave observatory

arXiv

引用

arXiv 2017年

作者： Akutsu, T. Ando, M. Araki, S. Araya, A. Arima, T. Aritomi, N. Asada, H. Aso, Y. Atsuta, S. Awai, K. Baiotti, L. Barton, M.A. Chen, D. Cho, K. Craig, K. DeSalvo, R. Doi, K. Eda, K. Enomoto, Y. Flaminio, R. Fujibayashi, S. Fujii, Y. Fujimoto, M.-K. Fukushima, M. Furuhata, T. Hagiwara, A. Haino, S. Harita, S. Hasegawa, K. Hasegawa, M. Hashino, K. Hayama, K. Hirata, N. Hirose, E. Ikenoue, B. Inoue, Y. Ioka, K. Ishizaki, H. Itoh, Y. Jia, D. Kagawa, T. Kaji, T. Kajita, T. Kakizaki, M. Kakuhata, H. Kamiizumi, M. Kanbara, S. Kanda, N. Kanemura, S. Kaneyama, M. Kasuya, J. Kataoka, Y. Kawaguchi, K. Kawai, N. Kawamura, S. Kawazoe, F. Kim, C. Kim, J. Kim, J.C. Kim, W. Kimura, N. Kitaoka, Y. Kobayashi, K. Kojima, Y. Kokeyama, K. Komori, K. Kotake, K. Kubo, K. Kumar, R. Kume, T. Kuroda, K. Kuwahara, Y. Lee, H.-K. Lee, H.-W. Lin, C.-Y. Liu, Y. Majorana, E. Mano, S. Marchio, M. Matsui, T. Matsumoto, N. Matsushima, F. Michimura, Y. Mio, N. Miyakawa, O. Miyake, K. Miyamoto, A. Miyamoto, T. Miyo, K. Miyoki, S. Morii, W. Morisaki, S. Moriwaki, Y. Muraki, Y. Murakoshi, M. Musha, M. Nagano, K. Nagano, S. Nakamura, K. Nakamura, T. Nakano, H. Nakano, M. Nakano, M. Nakao, H. Nakao, K. Narikawa, T. Ni, W.-T. Nonomura, T. Obuchi, Y. Oh, J.J. Oh, S.-H. Ohashi, M. Ohishi, N. Ohkawa, M. Ohmae, N. Okino, K. Okutomi, K. Ono, K. Ono, Y. Oohara, K. Ota, S. Park, J. Peña Arellano, F.E. Pinto, I.M. Principe, M. Sago, N. Saijo, M. Saito, T. Saito, Y. Saitou, S. Sakai, K. Sakakibara, Y. Sasaki, Y. Sato, S. Sato, T. Sato, Y. Sekiguchi, T. Sekiguchi, Y. Shibata, M. Shiga, K. Shikano, Y. Shimoda, T. Shinkai, H. Shoda, A. Someya, N. Somiya, K. Son, E.J. Starecki, T. Suemasa, A. Sugimoto, Y. Susa, Y. Suwabe, H. Suzuki, T. Tachibana, Y. Tagoshi, H. Takada, S. Takahashi, H. Takahashi, R. Takamori, A. Takeda, H. Tanaka, H. Tanaka, K. Tanaka, T. Tatsumi, D. National Astronomical Observatory of Japan Tokyo181-8588 Japan Graduate School of Science University of Tokyo Tokyo113-0033 Japan Department of Physics Graduate School of Science University of Tokyo Tokyo113-0033 Japan Ibaraki305-0801 Japan Earthquake Research Institute University of Tokyo Tokyo113-0032 Japan Department of Physics Graduate School of Science Osaka City University Osaka558-8585 Japan Graduate School of Science and Technology Hirosaki University Aomori036-8561 Japan Department of Physics Graduate School of Science and Engineering Tokyo Institute of Technology Tokyo152-8551 Japan Institute for Cosmic Ray Research University of Tokyo Chiba277-8582 Japan Institute for Cosmic Ray Research University of Tokyo Gifu506-1205 Japan Graduate School of Science Osaka University Osaka560-0043 Japan Department of Physics Sogang University Seoul121-742 Korea Republic of University of Sannio at Benevento BeneventoI-82100 Italy Sezione di Napoli NapoliI-80126 Italy University of Toyama Toyama930-8555 Japan Department of Physics Graduate School of Science Kyoto University Kyoto606-8502 Japan Institute of Physics Academia Sinica Taipei11529 Taiwan University of Toyama Toyama930-8555 Japan Yukawa Institute for Theoretical Physics Kyoto University Kyoto606-8502 Japan Albert-Einstein-Institut Max-Planck-Institut für Gravitationsphysik HannoverD-30167 Germany Department of Physics and Astronomy Seoul National University Seoul151-742 Korea Republic of Daejeon34055 Korea Republic of Department of Physics Myongji University Yongin449-728 Korea Republic of Department of Computer Simulation Inje University Gimhae-shi50834 Korea Republic of Daejeon34047 Korea Republic of Department of Physical Science Graduate School of Science Hiroshima University Hiroshima903-0213 Japan Department of Applied Physics Graduate School of Science Fukuoka University Fukuoka814-0180 Japan Graduate School of Science and Engineer

Major construction and initial-phase operation of a second-generation gravitational-wave detector KAGRA has been completed. The entire 3-km detector is installed underground in a mine in order to be isolated from background seismic vibrations on the surface. This allows us to achieve a good sensitivity at low frequencies and high stability of the detector. Bare-bones equipment for the interferometer operation has been installed and the first test run was accomplished in March and April of 2016 with a rather simple configuration. The initial configuration of KAGRA is named iKAGRA. In this paper, we summarize the construction of KAGRA, including the study of the advantages and challenges of building an underground detector and the operation of the iKAGRA interferometer together with the geophysics interferometer that has been constructed in the same tunnel. Copyright © 2017, The Authors. All rights reserved.

关键词： Interferometers

来源：评论

学校读者我要写书评

暂无评论

Enhancing quantum control by bootstrapping a quantum processor of 12 qubits

arXiv

引用

arXiv 2017年

作者： Lu, Dawei Li, Keren Li, Jun Katiyar, Hemant Park, Annie Jihyun Feng, Guanru Xin, Tao Li, Hang Long, Guilu Brodutch, Aharon Baugh, Jonathan Zeng, Bei Laflamme, Raymond Department of Physics Southern University of Science and Technology Shenzhen518055 China Institute for Quantum Computing Department of Physics and Astronomy University of Waterloo WaterlooONN2L 3G1 Canada State Key Laboratory of Low-Dimensional Quantum Physics Department of Physics Tsinghua University Beijing100084 China Beijing Computational Science Research Center Beijing100193 China Max-Planck-Institutfür Quantenoptik GarchingD-85748 Germany Center for Quantum Information and Quantum Control Department of Physics Department of Electrical and Computer Engineering University of Toronto TorontoONM5S 3H6 Canada Department of Mathematics and Statistics University of Guelph GuelphONN1G 2W1 Canada Perimeter Institute for Theoretical Physics Waterloo ONN2L 2Y5 Canada

Accurate and efficient control of quantum systems is one of the central challenges for quantum information processing. Current state-of-the-art experiments rarely go beyond 10 qubits and in most cases demonstrate only limited control. Here we demonstrate control of a 12-qubit system, and show that the system can be employed as a quantum processor to optimize its own control sequence by using measurement-based feedback control (MQFC). The final product is a control sequence for a complex 12-qubit task: preparation of a 12-coherent state. The control sequence is about 10% more accurate than the one generated by the standard (classical) technique, showing that MQFC can correct for unknown imperfections. Apart from demonstrating a high level of control over a relatively large system, our results show that even at the 12-qubit level, a quantum processor can be a useful lab instrument. As an extension of our work, we propose a method for combining the MQFC technique with a twirling protocol, to optimize the control sequence that produces a desired Clifford gate. Copyright © 2017, The Authors. All rights reserved.

关键词： Quantum optics

来源：评论

学校读者我要写书评

暂无评论

A Resilient Software Infrastructure for Wide-Area Measurement Systems

A Resilient Software Infrastructure for Wide-Area Measuremen...

引用

IEEE Power and Energy Society General Meeting

作者： Tao Qian Hang Xu Jianhua Zhang Aranya Chakrabortty Frank Mueller Yufeng Xin Department of Computer Science North Carolina State University Raleigh USA Electrical Engineering North Carolina State University Raleigh USA Renaissance Computing Institute (RENCI) University of North Carolina at Chapel Hill USA

ISBN: (纸本)9781509041695

To support the scalability and resilience requirements of distributed Wide-Area Measurement System (WAMS) architectures, we design and implement a software infrastructure to estimate power grid oscillation modes based on real-time data collected from Phasor Measurement Units (PMUs). This estimation algorithm can be deployed on a hierarchical structure of Phasor data Concentrators (PDCs), which calculate local estimates and communicate with each other to calculate the global estimate. This work contributes a resilient system to WAMS with guarantees for (1) Quality of Service in network delay, (2) network failure tolerance, and (3) self-recoverability. The core component of the infrastructure is a distributed storage system. Externally, the storage system provides a cloud data lookup service with bounded response times and resilience, which decouples the data communication between PMUs, PDCs, and power-grid monitor/control applications. Internally, the storage system organizes PDCs as storage nodes and employs a real-time task scheduler to order data lookup requests so that urgent requests can be served earlier. To demonstrate the resilience of our distributed system, we deploy the system on a (1) virtual platform and (2) bare-metal machines, where we run a distributed algorithm on the basis of the Prony algorithm and the Alternating Directions Method of Multipliers (ADMM) to estimate the electro-mechanical oscillation modes. We inject different failures into the system to study their impact on the estimation algorithm. Our experiments show that temporary failures of a PDC or a network link do not affect the estimation result since the historical PMU data are cached in the storage system and PDCs can obtain the data on demand.

关键词： Phasor measurement units Distributed databases Real-time systems Estimation Monitoring Resilience Power grids Phasor measurement units Cache Memory System Power grids Resilience distributed databases real-time systems Wide area measurement systems network links PDC gene INFRASTRUCTURE data communication

来源：评论

学校读者我要写书评

暂无评论

Parkes Pulsar Timing Array constraints on ultralight scalar-field dark matter

arXiv

引用

arXiv 2018年

作者： Porayko, Nataliya K. Zhu, Xingjiang Levin, Yuri Hui, Lam Hobbs, George Grudskaya, Aleksandra Postnov, Konstantin Bailes, Matthew Bhat, N.D. Ramesh Coles, William Dai, Shi Dempsey, James Keith, Michael J. Kerr, Matthew Kramer, Michael Lasky, Paul D. Manchester, Richard N. Oslowski, Stefan Parthasarathy, Aditya Ravi, Vikram Reardon, Daniel J. Rosado, Pablo A. Russell, Christopher J. Shannon, Ryan M. Spiewak, Renée van Straten, Willem Toomey, Lawrence Wang, Jingbo Wen, Linqing You, Xiaopeng Max-Planck-Institut für Radioastronomie Auf dem Hügel 69 BonnD-53121 Germany School of Physics and Astronomy Monash University ClaytonVIC3800 Australia School of Physics University of Western Australia CrawleyWA6009 Australia Australian Research Council Centre of Excellence for Gravitational Wave Discovery Center for Theoretical Physics Department of Physics Columbia University New YorkNY10027 United States Center for Computational Astrophysics Flatiron Institute New YorkNY10010 United States CSIRO Astronomy and Space Science P.O. Box 76 EppingNSW1710 Australia Sternberg Astronomical Institute Lomonosov Moscow State University Universitetskii pr. 13 Moscow119234 Russia Kazan Federal University Kremlevskaya 18 Kazan420008 Russia Centre for Astrophysics and Supercomputing Swinburne University of Technology P.O. Box 218 HawthornVIC3122 Australia International Centre for Radio Astronomy Research Curtin University BentleyWA6102 Australia Department of Electrical and Computer Engineering University of California at San Diego La JollaCA92093 United States CSIRO Information Management and Technology PO Box 225 DicksonACT2602 Australia Jodrell Bank Centre for Astrophysics University of Manchester ManchesterM13 9PL United Kingdom Space Science Division Naval Research Laboratory WashingtonDC20375 United States Cahill Center for Astronomy and Astrophysics California Institute of Technology MC 249-17 PasadenaCA91125 United States CSIRO Scientific Computing Australian Technology Park Locked Bag 9013 AlexandriaNSW1435 Australia Institute for Radio Astronomy & Space Research Auckland University of Technology Private Bag 92006 Auckland1142 New Zealand Xinjiang Astronomical Observatory Chinese Academy of Sciences 150 Science 1-Street Urumqi Xinjiang830011 China School of Physical Science and Technology Southwest University Chongqing400715 China

It is widely accepted that dark matter contributes about a quarter of the critical mass-energy density in our Universe. The nature of dark matter is currently unknown, with the mass of possible constituents spanning nearly one hundred orders of magnitude. The ultralight scalar field dark matter, consisting of extremely light bosons with m ∼ 10−22 eV and often called "fuzzy" dark matter, provides intriguing solutions to some challenges at sub-Galactic scales for the standard cold dark matter model. As shown by Khmelnitsky and Rubakov, such a scalar field in the Galaxy would produce an oscillating gravitational potential with nanohertz frequencies, resulting in periodic variations in the times of arrival of radio pulses from pulsars. The Parkes Pulsar Timing Array (PPTA) has been monitoring 20 millisecond pulsars at two to three weeks intervals for more than a decade. In addition to the detection of nanohertz gravitational waves, PPTA offers the opportunity for direct searches for fuzzy dark matter in an astrophysically feasible range of masses. We analyze the latest PPTA data set which includes timing observations for 26 pulsars made between 2004 and 2016. We perform a search in this data set for evidence of ultralight dark matter in the Galaxy using Bayesian and Frequentist methods. No statistically significant detection has been made. We, therefore, place upper limits on the local dark matter density. Our limits, improving on previous searches by a factor of 2 to 5, constrain the dark matter density of ultralight bosons with m ≤ 10−23 eV to be below 6 GeV cm−3 with 95% confidence in the Earth neighborhood. Finally, we discuss the prospect of probing the astrophysically favored mass range m & 10−22 eV with next-generation pulsar timing facilities. Copyright © 2018, The Authors. All rights reserved.

关键词： Timing circuits

来源：评论

学校读者我要写书评

暂无评论

Short-term variation in the galactic cosmic ray intensity measured with the PAMELA experiment 35

Short-term variation in the galactic cosmic ray intensity me...

引用

35th International Cosmic Ray Conference, ICRC 2017

作者： Munini, Riccardo Di Felice, Valeria Boezio, M. Adriani, O. Barbarino, G.C. Bazilevskaya, G.A. Bellotti, R. Bogomolov, E.A. Bongi, M. Bonvicini, V. Bottai, S. Bruno, A. Cafagna, F. Campana, D. Carlson, P. Casolino, M. Castellini, G. De Donato, C. De Santis, C. Galper, A.M. Karelin, A.V. Koldashov, S.V. Koldobskiy, S. Krutkov, S.Y. Kvashnin, A.N. Leonov, A. Malakhov, V. Marcelli, L. Martucci, M. Mayorov, A.G. Menn, W. Merge, M. Mikhailov, V.V. Mocchiutti, E. Monaco, A. Mori, N. Osteria, G. Panico, B. Papini, P. Pearce, M. Picozza, P. Ricci, M. Ricciarini, S.B. Simon, M. Sparvoli, R. Spillantini, P. Stozhkov, Y.I. Vacchi, A. Vannuccini, E. Vasilyev, G. Voronov, S.A. Yurkin, Y.T. Zampa, G. Zampa, N. Potgieter, M.S. Christian, E.C. De Nolfo, G.A. Richardson, I. Ryan, J.M. Stochaj, S. INFN Sezione di Trieste TriesteI-34149 Italy INFN Sezione di Rome Tor Vergata RomeI-00133 Italy Science Data Center FrascatiI-00044 Italy University of Florence Department of Physics Sesto Fiorentino FlorenceI-50019 Italy INFN - Sezione di Florence Sesto Fiorentino FlorenceI-50019 Italy University of Naples Federico II Department of Physics NaplesI-80126 Italy INFN - Sezione di Naples NaplesI-80126 Italy Lebedev Physical Institute MoscowRU-119991 Russia University of Bari Department of Physics BariI-70126 Italy INFN Sezione di Bari BariI-70126 Italy Ioffe Physical Technical Institute St. PetersburgRU-194021 Russia KTH Department of Physics Oskar Klein Centre for Cosmoparticle Physics AlbaNova University Centre StockholmSE-10691 Sweden University of Rome Tor Vergata Department of Physics RomeI-00133 Italy RIKEN Advanced Science Institute Wako-shi Saitama Japan IFAC Sesto Fiorentino FlorenceI-50019 Italy National Research Nuclear University MEPhI MoscowRU-115409 Russia INFN Laboratori Nazionali di Frascati Via Enrico Fermi 40 FrascatiI-00044 Italy Universität Siegen Department of Physics SiegenD-57068 Germany University of Udine Department of Mathematics and Informatics UdineI-33100 Italy North-West University Centre for Space Research Potchefstroom2520 South Africa Heliophysics Division NASA Goddard Space Flight Ctr. GreenbeltMD United States GPHI Department of Astronomy University of Maryland College Park United States Space Science Center University of New Hampshire DurhamNH United States Electrical and Computer Engineering New Mexico State University Las CrucesNM United States

New results on the galactic cosmic ray (GCR) short-term intensity variation associated with Forbush decrease and co-rotating interaction regions (CIRs) measured by the PAMELA instrument between November 2006 and March 2007 are presented. Most of the past measurements on Forbush decrease events were carried out with neutron monitor detector. This tecnique allows only indirect detection of the overall GCR intensity over an integrated energy range. For the first time, thanks to the unique features of the PAMELA magnetic spectrometer, the Forbush decrease associated with the December 13th coronal mass ejection (CME) was studied in a wide rigidity range (0.4 - 20 GV) and for different species of GCRs detected directly in space. Using GCR protons, the amplitude and the recovery time of the Forbush decrease were studied for ten rigidity interval with a temporal resolution of one day. For comparison the helium and the electron intensity over time were also studied. The temporal evolution of the helium and proton intensity was found in good agreement while the electrons show, on average, a faster recovery time. This was interpreted as a charge-sign dependence introduced by drift motion experienced by the low rigidity ( © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives 4.0 International License (CC BY-NC-ND 4.0).

关键词： Rigidity

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：