K. C. Wu - Institute of Physics, Chinese Academy of Sciences, Beijing

K. C. Wu
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K. C. Wu
Institute of Physics, Chinese Academy of Sciences, Beijing

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Mathematics - Numerical Analysis (7)
Physics - Materials Science (6)
Computer Science - Distributed; Parallel; and Cluster Computing (5)
Physics - Superconductivity (4)
Computer Science - Computer Vision and Pattern Recognition (4)
Physics - Strongly Correlated Electrons (4)
High Energy Astrophysical Phenomena (4)
Physics - Optics (3)
Computer Science - Robotics (3)
Quantum Physics (2)
Computer Science - Data Structures and Algorithms (2)
Computer Science - Cryptography and Security (2)
Computer Science - Learning (2)
Physics - Soft Condensed Matter (2)
Mathematics - Rings and Algebras (1)
Astrophysics of Galaxies (1)
Nuclear Experiment (1)
Cosmology and Nongalactic Astrophysics (1)
High Energy Physics - Theory (1)
Computer Science - Information Theory (1)
Mathematics - Analysis of PDEs (1)
Physics - Statistical Mechanics (1)
Mathematics - Information Theory (1)
Computer Science - Networking and Internet Architecture (1)
Computer Science - Computation and Language (1)
General Relativity and Quantum Cosmology (1)
Physics - Instrumentation and Detectors (1)
Physics - Chemical Physics (1)
Statistics - Machine Learning (1)
Quantitative Biology - Quantitative Methods (1)
Physics - Biological Physics (1)
Computer Science - Databases (1)
Physics - Computational Physics (1)
Instrumentation and Methods for Astrophysics (1)
Physics - Physics and Society (1)
Mathematics - Combinatorics (1)
High Energy Physics - Experiment (1)
Solar and Stellar Astrophysics (1)

Publications Authored By K. C. Wu

Fault tolerance is one of the major design goals for HPC. The emergence of non-volatile memories (NVM) provides a solution to build fault tolerant HPC. Data in NVM-based main memory are not lost when the system crashes because of the non-volatility nature of NVM. Read More

HPC applications pose high demands on I/O performance and storage capability. The emerging non-volatile memory (NVM) techniques offer low-latency, high bandwidth, and persistence for HPC applications. However, the existing I/O stack are designed and optimized based on an assumption of disk-based storage. Read More

Transport of fluid through a pipe is essential for the operation of macroscale machines and microfluidic devices. Conventional fluids only flow in response to external pressure. We demonstrate that an active isotropic fluid, comprised of microtubules and molecular motors, autonomously flows through meter-long three-dimensional channels. Read More

Fabrication-less design houses outsource their designs to 3rd party foundries to lower fabrication cost. However, this creates opportunities for a rogue in the foundry to introduce hardware Trojans, which stay inactive most of the time and cause unintended consequences to the system when triggered. Hardware Trojans in traditional CMOS-based circuits have been studied and Design-for-Trust (DFT) techniques have been proposed to detect them. Read More

Non-volatile memory (NVM) provides a scalable and power-efficient solution to replace DRAM as main memory. However, because of relatively high latency and low bandwidth of NVM, NVM is often paired with DRAM to build a heterogeneous memory system (HMS). As a result, data objects of the application must be carefully placed to NVM and DRAM for best performance. Read More

Resilience is a major design goal for HPC. Checkpoint is the most common method to enable resilient HPC. Checkpoint periodically saves critical data objects to non-volatile storage to enable data persistence. Read More

Reversible logic has two main properties. First, the number of inputs is equal to the number of outputs. Second, it implements a one-to-one mapping; i. Read More

We model the intermediate-mass black hole HLX-1, using the Hubble Space Telescope, XMM-Newton and Swift. We quantify the relative contributions of a bluer component, function of X-ray irradiation, and a redder component, constant and likely coming from an old stellar population. We estimate a black hole mass of about (2^{+2}_{-1}) x 10^4 M_{sun}, a spin parameter a/M ~ 0. Read More

We present the successful synthesis of single-atom-thick borophene nanoribbons (BNRs) by self-assembly of boron on Ag(110) surface. The scanning tunneling microscopy (STM) studies reveal high quality BNRs: all the ribbons are along the [-110] direction of Ag(110), and can run across the steps on the surface. The width of ribbons is distributed in a narrow range around 10. Read More

Toxicity analysis and prediction are of paramount importance to human health and environmental protection. Existing computational methods are built from a wide variety of descriptors and regressors, which makes their performance analysis difficult. For example, deep neural network (DNN), a successful approach in many occasions, acts like a black box and offers little conceptual elegance or physical understanding. Read More

The dislocation-mediated quantum melting of solids into quantum liquid crystals is extended from two to three spatial dimensions, using a generalization of boson-vortex or Abelian-Higgs duality. Dislocations are now Burgers-vector-valued strings that trace out worldsheets in spacetime while the phonons of the solid dualize into two-form (Kalb-Ramond) gauge fields. We propose an effective dual Higgs potential that allows for restoring translational symmetry in either one, two or three directions, leading to the quantum analogues of columnar, smectic or nematic liquid crystals. Read More

In this article, we designed and synthesized a novel small molecule acceptor of ITCPTC with thiophene-fused ending group by employing a new active methylene precursor of CPTCN. The ITCPTC based polymer solar cells with PBT1-EH as donor achieved very high PCEs of up to 11.8% with a remarkably enhanced fill factor (FF) of 0. Read More

Affiliations: 1The Ohio State University, 2The Ohio State University, 3The Ohio State University, 4Lawrence Berkeley National Laboratory, 5Lawrence Berkeley National Laboratory, 6Lawrence Berkeley National Laboratory, 7Paradigm4, Inc

Scientists are increasingly turning to datacenter-scale computers to produce and analyze massive arrays. Despite decades of database research that extols the virtues of declarative query processing, scientists still write, debug and parallelize imperative HPC kernels even for the most mundane queries. This impedance mismatch has been partly attributed to the cumbersome data loading process; in response, the database community has proposed in situ mechanisms to access data in scientific file formats. Read More

The main contribution of this paper is an invariant extended Kalman filter (EKF) for visual inertial navigation systems (VINS). It is demonstrated that the conventional EKF based VINS is not invariant under the stochastic unobservable transformation, associated with translations and a rotation about the gravitational direction. This can lead to inconsistent state estimates as the estimator does not obey a fundamental property of the physical system. Read More

In this paper, we investigate the convergence and consistency properties of an Invariant-Extended Kalman Filter (RI-EKF) based Simultaneous Localization and Mapping (SLAM) algorithm. Basic convergence properties of this algorithm are proven. These proofs do not require the restrictive assumption that the Jacobians of the motion and observation models need to be evaluated at the ground truth. Read More

Quantum coherence, which quantifies the superposition properties of a quantum state, plays an indispensable role in quantum resource theory. A recent theoretical work [Phys. Rev. Read More

Frequent Measurements on an unstable particle located at observable initial state freeze the particle on this state, known as quantum Zeno effect [1-14]. Measurements on an observable subspace further open the prelude of quantum Zeno dynamics [15-17]. These phenomena affect the results of quantum measurement that has been widely used in quantum information and quantum computation [18-21]. Read More

Honeycomb structures of group IV elements can host massless Dirac fermions with non-trivial Berry phases. Their potential for electronic applications has attracted great interest and spurred a broad search for new Dirac materials especially in monolayer structures. We present a detailed investigation of the \beta 12 boron sheet, which is a borophene structure that can form spontaneously on a Ag(111) surface. Read More

Recent advances in using quantitative ultrasound (QUS) methods have provided a promising framework to non-invasively and inexpensively monitor or predict the effectiveness of therapeutic cancer responses. One of the earliest steps in using QUS methods is contouring a region of interest (ROI) inside the tumour in ultrasound B-mode images. While manual segmentation is a very time-consuming and tedious task for human experts, auto-contouring is also an extremely difficult task for computers due to the poor quality of ultrasound B-mode images. Read More

Authors: MicroBooNE Collaboration, R. Acciarri, C. Adams, R. An, A. Aparicio, S. Aponte, J. Asaadi, M. Auger, N. Ayoub, L. Bagby, B. Baller, R. Barger, G. Barr, M. Bass, F. Bay, K. Biery, M. Bishai, A. Blake, V. Bocean, D. Boehnlein, V. D. Bogert, T. Bolton, L. Bugel, C. Callahan, L. Camilleri, D. Caratelli, B. Carls, R. Castillo Fernandez, F. Cavanna, S. Chappa, H. Chen, K. Chen, C. Y. Chi, C. S. Chiu, E. Church, D. Cianci, G. H. Collin, J. M. Conrad, M. Convery, J. Cornele, P. Cowan, J. I. Crespo-Anadon, G. Crutcher, C. Darve, R. Davis, M. Del Tutto, D. Devitt, S. Duffin, S. Dytman, B. Eberly, A. Ereditato, D. Erickson, L. Escudero Sanchez, J. Esquivel, S. Farooq, J. Farrell, D. Featherston, B. T. Fleming, W. Foreman, A. P. Furmanski, V. Genty, M. Geynisman, D. Goeldi, B. Goff, S. Gollapinni, N. Graf, E. Gramellini, J. Green, A. Greene, H. Greenlee, T. Griffin, R. Grosso, R. Guenette, A. Hackenburg, R. Haenni, P. Hamilton, P. Healey, O. Hen, E. Henderson, J. Hewes, C. Hill, K. Hill, L. Himes, J. Ho, G. Horton-Smith, D. Huffman, C. M. Ignarra, C. James, E. James, J. Jan de Vries, W. Jaskierny, C. M. Jen, L. Jiang, B. Johnson, M. Johnson, R. A. Johnson, B. J. P. Jones, J. Joshi, H. Jostlein, D. Kaleko, L. N. Kalousis, G. Karagiorgi, T. Katori, P. Kellogg, W. Ketchum, J. Kilmer, B. King, B. Kirby, M. Kirby, E. Klein, T. Kobilarcik, I. Kreslo, R. Krull, R. Kubinski, G. Lange, F. Lanni, A. Lathrop, A. Laube, W. M. Lee, Y. Li, D. Lissauer, A. Lister, B. R. Littlejohn, S. Lockwitz, D. Lorca, W. C. Louis, G. Lukhanin, M. Luethi, B. Lundberg, X. Luo, G. Mahler, I. Majoros, D. Makowiecki, A. Marchionni, C. Mariani, D. Markley, J. Marshall, D. A. Martinez Caicedo, K. T. McDonald, D. McKee, A. McLean, J. Mead, V. Meddage, T. Miceli, G. B. Mills, W. Miner, J. Moon, M. Mooney, C. D. Moore, Z. Moss, J. Mousseau, R. Murrells, D. Naples, P. Nienaber, B. Norris, N. Norton, J. Nowak, M. OBoyle, T. Olszanowski, O. Palamara, V. Paolone, V. Papavassiliou, S. F. Pate, Z. Pavlovic, R. Pelkey, M. Phipps, S. Pordes, D. Porzio, G. Pulliam, X. Qian, J. L. Raaf, V. Radeka, A. Rafique, R. A Rameika, B. Rebel, R. Rechenmacher, S. Rescia, L. Rochester, C. Rudolf von Rohr, A. Ruga, B. Russell, R. Sanders, W. R. Sands III, M. Sarychev, D. W. Schmitz, A. Schukraft, R. Scott, W. Seligman, M. H. Shaevitz, M. Shoun, J. Sinclair, W. Sippach, T. Smidt, A. Smith, E. L. Snider, M. Soderberg, M. Solano-Gonzalez, S. Soldner-Rembold, S. R. Soleti, J. Sondericker, P. Spentzouris, J. Spitz, J. St. John, T. Strauss, K. Sutton, A. M. Szelc, K. Taheri, N. Tagg, K. Tatum, J. Teng, K. Terao, M. Thomson, C. Thorn, J. Tillman, M. Toups, Y. T. Tsai, S. Tufanli, T. Usher, M. Utes, R. G. Van de Water, C. Vendetta, S. Vergani, E. Voirin, J. Voirin, B. Viren, P. Watkins, M. Weber, T. Wester, J. Weston, D. A. Wickremasinghe, S. Wolbers, T. Wongjirad, K. Woodruff, K. C. Wu, T. Yang, B. Yu, G. P. Zeller, J. Zennamo, C. Zhang, M. Zuckerbrot

This paper describes the design and construction of the MicroBooNE liquid argon time projection chamber and associated systems. MicroBooNE is the first phase of the Short Baseline Neutrino program, located at Fermilab, and will utilize the capabilities of liquid argon detectors to examine a rich assortment of physics topics. In this document details of design specifications, assembly procedures, and acceptance tests are reported. Read More

Optical phase shifters and switches play an important role for various optical applications including optical signal processing, sensing and communication. In this paper, we demonstrate a fiber all optical phase shifter using few-layer 2D material tungsten disulfide (WS2) deposited on a tapered fiber. WS2 absorbs injected 980 nm pump (control light) and generates heat which changes the refractive index of the tapered fiber due to thermo-optic effect and achieves a maximum phase shift of 6. Read More

Topological nodal line semimetals, a novel quantum state of materials, possess topologically nontrivial valence and conduction bands that touch at a line near the Fermi level. The exotic band structures can lead to various novel properties, such as long-range Coulomb interaction and flat Landau levels. Recently, topological nodal lines have been observed in several bulk materials, such as PtSn4, ZrSiS, TlTaSe2 and PbTaSe2. Read More

The constrained local model (CLM) proposes a paradigm that the locations of a set of local landmark detectors are constrained to lie in a subspace, spanned by a shape point distribution model (PDM). Fitting the model to an object involves two steps. A response map, which represents the likelihood of the location of a landmark, is first computed for each landmark using local-texture detectors. Read More

Alice wants to join a new social network, and influence its members to adopt a new product or idea. Each person $v$ in the network has a certain threshold $t(v)$ for {\em activation}, i.e adoption of the product or idea. Read More

The task of flux calibration for LAMOST (Large sky Area Multi-Object Spectroscopic Telescope) spectra is difficult due to many factors. For example, the lack of standard stars, flat fielding for large field of view, and variation of reddening between different stars especially at low galactic latitudes etc. Poor selection, bad spectral quality, or extinction uncertainty of standard stars not only might induce errors to the calculated spectral response curve (SRC), but also might lead to failures in producing final 1D spectra. Read More

In this paper, we present a random-forest based fast cascaded regression model for face alignment, via a novel local feature. Our proposed local lightweight feature, namely intimacy definition feature (IDF), is more discriminative than landmark pose-indexed feature, more efficient than histogram of oriented gradients (HOG) feature and scale-invariant feature transform (SIFT) feature, and more compact than the local binary feature (LBF). Experimental results show that our approach achieves state-of-the-art performance when tested on the most challenging datasets. Read More

Affiliations: 1INAF/IASF, Milan, Janusz Gil Institut of Astronomy, University of Zielona Gora, 2INAF/OAR, 3UCL/MSSL, 4Dipartimento di Fisica e Astronomia, Universita' di Padova, 5Dipartimento di Fisica e Astronomia, Universita' di Padova, UCL/MSSL, 6UCL/MSSL, 7UCL/MSSL

The "Magnificent Seven" (M7) are a group of radio-quiet Isolated Neutron Stars (INSs) discovered in the soft X-rays through their purely thermal surface emission. Owing to the large inferred magnetic fields ($B\approx 10^{13}$ G), radiation from these sources is expected to be substantially polarised, independently on the mechanism actually responsible for the thermal emission. A large observed polarisation degree is, however, expected only if quantum-electrodynamics (QED) polarisation effects are present in the magnetised vacuum around the star. Read More

The paper develops high-order physical-constraint-preserving (PCP) methods for general relativistic hydrodynamic (GRHD) equations, equipped with a general equation of state. Here the physical constraints, describing the admissible states of GRHD, are referred to the subluminal constraint on the fluid velocity and the positivity of the density, pressure and specific internal energy. Preserving these constraints is very important for robust computations, otherwise violating one of them will lead to the ill-posed problem and numerical instability. Read More

We present the results of a series of short radio observations of six ultracool dwarfs made using the upgraded VLA in S (2--4GHz) and C (4--7GHz) bands. LSR J1835+3259 exhibits a 100 percent right-hand circularly polarised burst which shows intense narrowband features with a fast negative frequency drift of about $-30$ MHz $\textrm{s}^{-1}$. They are superimposed on a fainter broadband emission feature with a total duration of about 20 minutes, bandwidth of about 1 GHz, centred at about 3. Read More

In speech-applications such as text-to-speech (TTS) or automatic speech recognition (ASR), \emph{text normalization} refers to the task of converting from a \emph{written} representation into a representation of how the text is to be \emph{spoken}. In all real-world speech applications, the text normalization engine is developed---in large part---by hand. For example, a hand-built grammar may be used to enumerate the possible ways of saying a given token in a given language, and a statistical model used to select the most appropriate pronunciation in context. Read More

The paper develops a Newton multigrid (MG) method for one- and two-dimensional steady-state shallow water equations (SWEs) with topography and dry areas.It solves the nonlinear system arising from the well-balanced finite volume discretization of the steady-state SWEs by using Newton's method as the outer iteration and a geometric MG method with the block symmetric Gauss-Seidel smoother as the inner iteration. The proposed Newton MG method makes use of the local residual to regularize the Jacobian matrix of the Newton iteration, and can handle the steady-state problem with wet/dry transitions. Read More

The paper develops high order accurate Runge-Kutta discontinuous local evolution Galerkin (RKDLEG) methods on the cubed-sphere grid for the shallow water equations (SWEs). Instead of using the dimensional splitting method or solving one-dimensional Riemann problem in the direction normal to the cell interface, the RKDLEG methods are built on genuinely multi-dimensional approximate local evolution operator of the locally linearized SWEs on a sphere by considering all bicharacteristic directions. Several numerical experiments are conducted to demonstrate the accuracy and performance of our RKDLEG methods, in comparison to the Runge-Kutta discontinuous Galerkin method with Godunov's flux etc. Read More

The ideal gas equation of state (EOS) with a constant adiabatic index is a poor approximation for most relativistic astrophysical flows, although it is commonly used in relativistic hydrodynamics. The paper develops high-order accurate physical-constraints-preserving (PCP) central discontinuous Galerkin (DG) methods for the one- and two-dimensional special relativistic hydrodynamic (RHD) equations with a general EOS. It is built on the theoretical analysis of the admissible states for the RHD and the PCP limiting procedure enforcing the admissibility of central DG solutions. Read More

An algebra $A$ satisfies the Dixmier-Moeglin equivalence if we have the equivalences: $$P~{\rm primitive}\iff P~{\rm rational}\iff P ~{\rm locally~closed~}\qquad~{\rm for}~P\in {\rm Spec}(A).$$ We study the robustness of the Dixmier-Moeglin equivalence under extension of scalars and under the formation of Ore extensions. In particular, we show that the Dixmier-Moeglin equivalence is preserved under base change for finitely generated complex noetherian algebras. Read More

Authors: CBM Collaboration, T. Ablyazimov, A. Abuhoza, R. P. Adak, M. Adamczyk, K. Agarwal, M. M. Aggarwal, Z. Ahammed, F. Ahmad, N. Ahmad, S. Ahmad, A. Akindinov, P. Akishin, E. Akishina, T. Akishina, V. Akishina, A. Akram, M. Al-Turany, I. Alekseev, E. Alexandrov, I. Alexandrov, S. Amar-Youcef, M. Anđelić, O. Andreeva, C. Andrei, A. Andronic, Yu. Anisimov, H. Appelshäuser, D. Argintaru, E. Atkin, S. Avdeev, R. Averbeck, M. D. Azmi, V. Baban, M. Bach, E. Badura, S. Bähr, T. Balog, M. Balzer, E. Bao, N. Baranova, T. Barczyk, D. Bartoş, S. Bashir, M. Baszczyk, O. Batenkov, V. Baublis, M. Baznat, J. Becker, K. -H. Becker, S. Belogurov, D. Belyakov, J. Bendarouach, I. Berceanu, A. Bercuci, A. Berdnikov, Y. Berdnikov, R. Berendes, G. Berezin, C. Bergmann, D. Bertini, O. Bertini, C. Beşliu, O. Bezshyyko, P. P. Bhaduri, A. Bhasin, A. K. Bhati, B. Bhattacharjee, A. Bhattacharyya, T. K. Bhattacharyya, S. Biswas, T. Blank, D. Blau, V. Blinov, C. Blume, Yu. Bocharov, J. Book, T. Breitner, U. Brüning, J. Brzychczyk, A. Bubak, H. Büsching, T. Bus, V. Butuzov, A. Bychkov, A. Byszuk, Xu Cai, M. Cálin, Ping Cao, G. Caragheorgheopol, I. Carević, V. Cătănescu, A. Chakrabarti, S. Chattopadhyay, A. Chaus, Hongfang Chen, LuYao Chen, Jianping Cheng, V. Chepurnov, H. Cherif, A. Chernogorov, M. I. Ciobanu, G. Claus, F. Constantin, M. Csanád, N. D'Ascenzo, Supriya Das, Susovan Das, J. de Cuveland, B. Debnath, D. Dementiev, Wendi Deng, Zhi Deng, H. Deppe, I. Deppner, O. Derenovskaya, C. A. Deveaux, M. Deveaux, K. Dey, M. Dey, P. Dillenseger, V. Dobyrn, D. Doering, Sheng Dong, A. Dorokhov, M. Dreschmann, A. Drozd, A. K. Dubey, S. Dubnichka, Z. Dubnichkova, M. Dürr, L. Dutka, M. Dželalija, V. V. Elsha, D. Emschermann, H. Engel, V. Eremin, T. Eşanu, J. Eschke, D. Eschweiler, Huanhuan Fan, Xingming Fan, M. Farooq, O. Fateev, Shengqin Feng, S. P. D. Figuli, I. Filozova, D. Finogeev, P. Fischer, H. Flemming, J. Förtsch, U. Frankenfeld, V. Friese, E. Friske, I. Fröhlich, J. Frühauf, J. Gajda, T. Galatyuk, G. Gangopadhyay, C. García Chávez, J. Gebelein, P. Ghosh, S. K. Ghosh, S. Gläßel, M. Goffe, L. Golinka-Bezshyyko, V. Golovatyuk, S. Golovnya, V. Golovtsov, M. Golubeva, D. Golubkov, A. Gómez Ramírez, S. Gorbunov, S. Gorokhov, D. Gottschalk, P. Gryboś, A. Grzeszczuk, F. Guber, K. Gudima, M. Gumiński, A. Gupta, Yu. Gusakov, Dong Han, H. Hartmann, Shue He, J. Hehner, N. Heine, A. Herghelegiu, N. Herrmann, B. Heß, J. M. Heuser, A. Himmi, C. Höhne, R. Holzmann, Dongdong Hu, Guangming Huang, Xinjie Huang, D. Hutter, A. Ierusalimov, E. -M. Ilgenfritz, M. Irfan, D. Ivanischev, M. Ivanov, P. Ivanov, Valery Ivanov, Victor Ivanov, Vladimir Ivanov, A. Ivashkin, K. Jaaskelainen, H. Jahan, V. Jain, V. Jakovlev, T. Janson, Di Jiang, A. Jipa, I. Kadenko, P. Kähler, B. Kämpfer, V. Kalinin, J. Kallunkathariyil, K. -H. Kampert, E. Kaptur, R. Karabowicz, O. Karavichev, T. Karavicheva, D. Karmanov, V. Karnaukhov, E. Karpechev, K. Kasiński, G. Kasprowicz, M. Kaur, A. Kazantsev, U. Kebschull, G. Kekelidze, M. M. Khan, S. A. Khan, A. Khanzadeev, F. Khasanov, A. Khvorostukhin, V. Kirakosyan, M. Kirejczyk, A. Kiryakov, M. Kiš, I. Kisel, P. Kisel, S. Kiselev, T. Kiss, P. Klaus, R. Kłeczek, Ch. Klein-Bösing, V. Kleipa, V. Klochkov, P. Kmon, K. Koch, L. Kochenda, P. Koczoń, W. Koenig, M. Kohn, B. W. Kolb, A. Kolosova, B. Komkov, M. Korolev, I. Korolko, R. Kotte, A. Kovalchuk, S. Kowalski, M. Koziel, G. Kozlov, V. Kozlov, V. Kramarenko, P. Kravtsov, E. Krebs, C. Kreidl, I. Kres, D. Kresan, G. Kretschmar, M. Krieger, A. V. Kryanev, E. Kryshen, M. Kuc, W. Kucewicz, V. Kucher, L. Kudin, A. Kugler, Ajit Kumar, Ashwini Kumar, L. Kumar, J. Kunkel, A. Kurepin, N. Kurepin, A. Kurilkin, P. Kurilkin, V. Kushpil, S. Kuznetsov, V. Kyva, V. Ladygin, C. Lara, P. Larionov, A. Laso García, E. Lavrik, I. Lazanu, A. Lebedev, S. Lebedev, E. Lebedeva, J. Lehnert, J. Lehrbach, Y. Leifels, F. Lemke, Cheng Li, Qiyan Li, Xin Li, Yuanjing Li, V. Lindenstruth, B. Linnik, Feng Liu, I. Lobanov, E. Lobanova, S. Löchner, P. -A. Loizeau, S. A. Lone, J. A. Lucio Martínez, Xiaofeng Luo, A. Lymanets, Pengfei Lyu, A. Maevskaya, S. Mahajan, D. P. Mahapatra, T. Mahmoud, P. Maj, Z. Majka, A. Malakhov, E. Malankin, D. Malkevich, O. Malyatina, H. Malygina, M. M. Mandal, S. Mandal, V. Manko, S. Manz, A. M. Marin Garcia, J. Markert, S. Masciocchi, T. Matulewicz, L. Meder, M. Merkin, V. Mialkovski, J. Michel, N. Miftakhov, L. Mik, K. Mikhailov, V. Mikhaylov, B. Milanović, V. Militsija, D. Miskowiec, I. Momot, T. Morhardt, S. Morozov, W. F. J. Müller, C. Müntz, S. Mukherjee, C. E. Muńoz Castillo, Yu. Murin, R. Najman, C. Nandi, E. Nandy, L. Naumann, T. Nayak, A. Nedosekin, V. S. Negi, W. Niebur, V. Nikulin, D. Normanov, A. Oancea, Kunsu Oh, Yu. Onishchuk, G. Ososkov, P. Otfinowski, E. Ovcharenko, S. Pal, I. Panasenko, N. R. Panda, S. Parzhitskiy, V. Patel, C. Pauly, M. Penschuck, D. Peshekhonov, V. Peshekhonov, V. Petráček, M. Petri, M. Petriş, A. Petrovici, M. Petrovici, A. Petrovskiy, O. Petukhov, D. Pfeifer, K. Piasecki, J. Pieper, J. Pietraszko, R. Płaneta, V. Plotnikov, V. Plujko, J. Pluta, A. Pop, V. Pospisil, K. Poźniak, A. Prakash, S. K. Prasad, M. Prokudin, I. Pshenichnov, M. Pugach, V. Pugatch, S. Querchfeld, S. Rabtsun, L. Radulescu, S. Raha, F. Rami, R. Raniwala, S. Raniwala, A. Raportirenko, J. Rautenberg, J. Rauza, R. Ray, S. Razin, P. Reichelt, S. Reinecke, A. Reinefeld, A. Reshetin, C. Ristea, O. Ristea, A. Rodriguez Rodriguez, F. Roether, R. Romaniuk, A. Rost, E. Rostchin, I. Rostovtseva, Amitava Roy, Ankhi Roy, J. Rożynek, Yu. Ryabov, A. Sadovsky, R. Sahoo, P. K. Sahu, S. K. Sahu, J. Saini, S. Samanta, S. S. Sambyal, V. Samsonov, J. Sánchez Rosado, O. Sander, S. Sarangi, T. Satława, S. Sau, V. Saveliev, S. Schatral, C. Schiaua, F. Schintke, C. J. Schmidt, H. R. Schmidt, K. Schmidt, J. Scholten, K. Schweda, F. Seck, S. Seddiki, I. Selyuzhenkov, A. Semennikov, A. Senger, P. Senger, A. Shabanov, A. Shabunov, Ming Shao, A. D. Sheremetiev, Shusu Shi, N. Shumeiko, V. Shumikhin, I. Sibiryak, B. Sikora, A. Simakov, C. Simon, C. Simons, R. N. Singaraju, A. K. Singh, B. K. Singh, C. P. Singh, V. Singhal, M. Singla, P. Sitzmann, K. Siwek-Wilczyńska, L. Škoda, I. Skwira-Chalot, I. Som, Guofeng Song, Jihye Song, Z. Sosin, D. Soyk, P. Staszel, M. Strikhanov, S. Strohauer, J. Stroth, C. Sturm, R. Sultanov, Yongjie Sun, D. Svirida, O. Svoboda, A. Szabó, R. Szczygieł, R. Talukdar, Zebo Tang, M. Tanha, J. Tarasiuk, O. Tarassenkova, M. -G. Târzilă, M. Teklishyn, T. Tischler, P. Tlustý, T. Tölyhi, A. Toia, N. Topil'skaya, M. Träger, S. Tripathy, I. Tsakov, Yu. Tsyupa, A. Turowiecki, N. G. Tuturas, F. Uhlig, E. Usenko, I. Valin, D. Varga, I. Vassiliev, O. Vasylyev, E. Verbitskaya, W. Verhoeven, A. Veshikov, R. Visinka, Y. P. Viyogi, S. Volkov, A. Volochniuk, A. Vorobiev, Aleksey Voronin, Alexander Voronin, V. Vovchenko, M. Vznuzdaev, Dong Wang, Xi-Wei Wang, Yaping Wang, Yi Wang, M. Weber, C. Wendisch, J. P. Wessels, M. Wiebusch, J. Wiechula, D. Wielanek, A. Wieloch, A. Wilms, N. Winckler, M. Winter, K. Wiśniewski, Gy. Wolf, Sanguk Won, Ke-Jun Wu, J. Wüstenfeld, Changzhou Xiang, Nu Xu, Junfeng Yang, Rongxing Yang, Zhongbao Yin, In-Kwon Yoo, B. Yuldashev, I. Yushmanov, W. Zabołotny, Yu. Zaitsev, N. I. Zamiatin, Yu. Zanevsky, M. Zhalov, Yifei Zhang, Yu Zhang, Lei Zhao, Jiajun Zheng, Sheng Zheng, Daicui Zhou, Jing Zhou, Xianglei Zhu, A. Zinchenko, W. Zipper, M. Żoładź, P. Zrelov, V. Zryuev, P. Zumbruch, M. Zyzak

Substantial experimental and theoretical efforts worldwide are devoted to explore the phase diagram of strongly interacting matter. At LHC and top RHIC energies, QCD matter is studied at very high temperatures and nearly vanishing net-baryon densities. There is evidence that a Quark-Gluon-Plasma (QGP) was created at experiments at RHIC and LHC. Read More

We present the $W_{1+\infty}$ $n$-algebra which satisfies the generalized Jacobi and Bremner identities for the $n$ even and odd cases, respectively. We note that the $W_{1+\infty}$ $2n$-algebra is the so-called generalized Lie algebra. Its remarkable property is that there exists the nontrivial sub-$2n$-algebra in which the structure constants are determined by the Vandermonde determinant. Read More

We calculate the radial profiles of galaxies where the nuclear region is self-gravitating, consisting of self-interacting dark matter (SIDM) with $F$ degrees of freedom. For sufficiently high density this dark matter becomes collisional, regardless of its behaviour on galaxy scales. Our calculations show a spike in the central density profile, with properties determined by the dark matter microphysics, and the densities can reach the `mean density' of a black hole (from dividing the black-hole mass by the volume enclosed by the Schwarzschild radius). Read More

Recently, end-to-end known-interference cancellation (E2E-KIC) has been proposed as a promising technique for wireless networks. It sequentially cancels out the known interferences at each node so that wireless multi-hop transmission can achieve a similar throughput as single-hop transmission. Existing work on E2E-KIC assumed that the interference of a transmitter to those nodes outside the transmitter's communication range is negligible. Read More

The coupling between lattice and charge degrees of freedom in condensed matter materials is ubiquitous and can often result in interesting properties and ordered phases, including conventional superconductivity, charge density wave order, and metal-insulator transitions. Angle-resolved photoemission spectroscopy and both neutron and non-resonant x-ray scattering serve as effective probes for determining the behavior of appropriate, individual degrees of freedom -- the electronic structure and lattice excitation, or phonon dispersion, respectively. However, each provides less direct information about the mutual coupling between the degrees of freedom, usual through self-energy effects, which tend to renormalize and broaden spectral features precisely where the coupling is strong, impacting ones ability to quantitively characterize the coupling. Read More

The observed polarization properties of thermal radiation from isolated, cooling neutron stars depend on both the emission processes at the surface and the effects of the magnetized vacuum which surrounds the star. Here we investigate the polarized thermal emission from X-ray Dim Isolated Neutron Stars, taking RX J1856.5-3754 as a representative case. Read More

The nematic order is considered one of the essential ingredients to understand the mechanism of Fe-based superconductivity. In most Fe-based superconductors (pnictides), nematicity is reasonably close to the antiferromagnetic order. In FeSe, in contrast, a nematic order emerges below the structure phase transition at Ts = 90 K with no magnetic order. Read More

This paper first studies the admissible state set $\mathcal G$ of relativistic magnetohydrodynamics (RMHD). It paves a way for developing physical-constraints-preserving (PCP) schemes for RMHD equations with the solutions in $\mathcal G$. To overcome the difficulties arising from the extremely strong nonlinearities and no explicit formulas of the primitive variables and flux vectors with respect to the conservative vector, two equivalent forms of $\mathcal G$ with explicit constraints on the conservative vector are skillfully discovered. Read More

This paper presents a novel appearance and shape feature, RISAS, which is robust to viewpoint, illumination, scale and rotation variations. RISAS consists of a keypoint detector and a feature descriptor both of which utilise texture and geometric information present in the appearance and shape channels. A novel response function based on the surface normals is used in combination with the Harris corner detector for selecting keypoints in the scene. Read More

The concept of symmetry breaking has been a propelling force in understanding phases of matter. While rotational symmetry breaking is one of the most prevalent examples, the rich landscape of orientational orders breaking the rotational symmetries of isotropic space, i.e. Read More

We present a self-contained review of the theory of dislocation-mediated quantum melting at zero temperature in two spatial dimensions. The theory describes the liquid-crystalline phases with spatial symmetries in between a quantum crystalline solid and an isotropic superfluid: quantum nematics and smectics. It is based on an Abelian-Higgs-type duality mapping of phonons onto gauge bosons ("stress photons"), which encode for the capacity of the crystal to propagate stresses. Read More

Multilayer networks have seen a resurgence under the umbrella of deep learning. Current deep learning algorithms train the layers of the network sequentially, improving algorithmic performance as well as providing some regularization. We present a new training algorithm for deep networks which trains \emph{each node in the network} sequentially. Read More

On an evolving graph that is continuously updated by a high-velocity stream of edges, how can one efficiently maintain if two vertices are connected? This is the connectivity problem, a fundamental and widely studied problem on graphs. We present the first shared-memory parallel algorithm for incremental graph connectivity that is both provably work-efficient and has polylogarithmic parallel depth. We also present a simpler algorithm with slightly worse theoretical properties, but which is easier to implement and has good practical performance. Read More

This paper is concerned with generalized polynomial chaos (gPC) approximation for a general system of quasilinear hyperbolic conservation laws with uncertainty. The one-dimensional (1D) hyperbolic system is first symmetrized with the aid of left eigenvector matrix of the Jacobian matrix. Stochastic Galerkin method is then applied to derive the equations for the gPC expansion coefficients. Read More

The paper proposes a second-order accurate direct Eulerian generalized Riemann problem (GRP) scheme for the spherically symmetric general relativistic hydrodynamical (RHD) equations and a second-order accurate discretization for the spherically symmetric Einstein (SSE) equations. The former is directly using the Riemann invariants and the Runkine-Hugoniot jump conditions to analytically resolve the left and right nonlinear waves of the local GRP in the Eulerian formulation together with the local change of the metrics to obtain the limiting values of the time derivatives of the conservative variables along the cell interface and the numerical flux for the GRP scheme. While the latter utilizes the energy-momentum tensor obtained in the GRP solver to evaluate the fluid variables in the SSE equations and keeps the continuity of the metrics at the cell interfaces. Read More

Silicene, a counterpart of graphene, has achieved rapid development due to its exotic electronic properties and excellent compatibility with the mature silicon-based semiconductor technology. Its low room-temperature mobility of about 100 cm2V-1s-1, however, inhibits device applications such as in field-effect transistors. Generally, defects and grain boundaries would act as scattering centers and thus reduce the carrier mobility. Read More