output
19982026
most citedGWTC-2: Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run

2.4k citations

Showing 2017Show all

42 papers · 1 filter

math.NA2017★ 37 cited

An HDG Method for Distributed Control of Convection Diffusion PDEs

Weiwei Hu, Jiguang Shen, John R. Singler +2

We propose a hybridizable discontinuous Galerkin (HDG) method to approximate the solution of a distributed optimal control problem governed by an elliptic convection diffusion PDE.…

math.NA2017★ 23 cited

HDG-POD Reduced Order Model of the Heat Equation

Jiguang Shen, John R. Singler, Yangwen Zhang

We propose a new hybridizable discontinuous Galerkin (HDG) model order reduction technique based on proper orthogonal decomposition (POD). We consider the heat equation as a test p…

cond-mat.str-el2017★ 6 cited

Superfluid density and compressibility at the superfluid-Mott glass transition

Cameron Lerch, Thomas Vojta

Systems of disordered interacting bosons with particle-hole symmetry can undergo a quantum phase transition between the superfluid phase and the Mott glass phase which is a gapless…

math.NA2017★ 3 cited

A Superconvergent Hybridizable Discontinuous Galerkin Method for Dirichlet Boundary Control of Elliptic PDEs

Weiwei Hu, Jiguang Shen, John R. Singler +2

We begin an investigation of hybridizable discontinuous Galerkin (HDG) methods for approximating the solution of Dirichlet boundary control problems governed by elliptic PDEs. Thes…

math.NA2017★ 15 cited

A Superconvergent HDG Method for Distributed Control of Convection Diffusion PDEs

Weiwei Hu, Jiguang Shen, John R. Singler +2

We consider a distributed optimal control problem governed by an elliptic convection diffusion PDE, and propose a hybridizable discontinuous Galerkin (HDG) method to approximate th…

physics.atom-ph2017★ 18 cited

An all-optical atom trap as a target for MOTRIMS-like collision experiments

S. Sharma, B. P. Acharya, A. H. N. C. De Silva +5

Momentum-resolved scattering experiments with laser-cooled atomic targets have been performed since almost two decades with MOTRIMS (Magneto-Optical Trap Recoil Ion Momentum Spectr…

math.PR2017★ 3 cited

On the Global Convergence of Continuous-Time Stochastic Heavy-Ball Method for Nonconvex Optimization

Wenqing Hu, Chris Junchi Li, Xiang Zhou

We study the convergence behavior of the stochastic heavy-ball method with a small stepsize. Under a change of time scale, we approximate the discrete method by a stochastic differ…

physics.atom-ph2017★ 9 cited

Long-Range Interactions for Hydrogen: 6P-1S and 6P-2S

U. D. Jentschura, C. M. Adhikari

The collisional shift of a transition constitutes an important systematic effect in high-precision spectroscopy. Accurate values for van der Waalsinteraction coefficients are requi…

math.NA2017

Stability and convergence analysis of A linear, fully decoupled and unconditionally energy stable scheme for magneto-hydrodynamic equations

Guodong Zhang, Xiaoming He, Xiaofeng Yang

In this paper, we consider numerical approximations for solving the nonlinear magneto-hydrodynamical system, that couples the Navier-Stokes equations and Maxwell equations together…

cs.SI2017★ 1 cited

BL-MNE: Emerging Heterogeneous Social Network Embedding through Broad Learning with Aligned Autoencoder

Jiawei Zhang, Congying Xia, Chenwei Zhang +3

Network embedding aims at projecting the network data into a low-dimensional feature space, where the nodes are represented as a unique feature vector and network structure can be…

math.NA2017★ 58 cited

A comparative study on nonlocal diffusion operators related to the fractional Laplacian

Siwei Duo, Hong Wang, Yanzhi Zhang

In this paper, we study four nonlocal diffusion operators, including the fractional Laplacian, spectral fractional Laplacian, regional fractional Laplacian, and peridynamic operato…

hep-ph2017

Neutrino Pair Cerenkov Radiation for Tachyonic Neutrinos

Ulrich D. Jentschura, Istvan Nandori

The emission of a charged light lepton pair by a superluminal neutrino has been identified as a major factor in the energy loss of highly energetic neutrinos. The observation of Pe…

cond-mat.stat-mech2017★ 52 cited

Fractional Brownian motion with a reflecting wall

Alexander H. O. Wada, Thomas Vojta

Fractional Brownian motion, a stochastic process with long-time correlations between its increments, is a prototypical model for anomalous diffusion. We analyze fractional Brownian…

eess.SY2017★ 2 cited

Attack Analysis for Distributed Control Systems: An Internal Model Principle Approach

Rohollah Moghadam, Hamidreza Modares

Although adverse effects of attacks have been acknowledged in many cyber-physical systems, there is no system-theoretic comprehension of how a compromised agent can leverage commun…

math.PR2017★ 1 cited

Large deviations and averaging for systems of slow--fast stochastic reaction--diffusion equations

Wenqing Hu, Michael Salins, Konstantinos Spiliopoulos

We study a large deviation principle for a system of stochastic reaction--diffusion equations (SRDEs) with a separation of fast and slow components and small noise in the slow comp…

physics.atom-ph2017★ 11 cited

Long-range interactions of hydrogen atoms in excited states. III. nS-1S interactions for n >= 3

C. M. Adhikari, V. Debierre, U. D. Jentschura

The long-range interaction of excited neutral atoms has a number of interesting and surprising properties, such as the prevalence of long-range, oscillatory tails, and the emergenc…

hep-ph2017★ 9 cited

Calculation of the Decay Rate of Tachyonic Neutrinos against Charged-Lepton-Pair and Neutrino-Pair Cerenkov Radiation

Ulrich D. Jentschura, Istvan Nandori, Robert Ehrlich

We consider in detail the calculation of the decay rate of high-energy superluminal neutrinos against (charged) lepton pair Cerenkov radiation (LPCR), and neutrino pair Cerenkov ra…

math.NA2017★ 1 cited

An efficient, partitioned ensemble algorithm for simulating ensembles of evolutionary MHD flows at low magnetic Reynolds number

Nan Jiang, Michael Schneier

Studying the propagation of uncertainties in a nonlinear dynamical system usually involves generating a set of samples in the stochastic parameter space and then repeated simulatio…

cs.CY2017★ 20 cited

Quality of Information in Mobile Crowdsensing: Survey and Research Challenges

Francesco Restuccia, Nirnay Ghosh, Shameek Bhattacharjee +2

Smartphones have become the most pervasive devices in people's lives, and are clearly transforming the way we live and perceive technology. Today's smartphones benefit from almost…

math.PR2017★ 7 cited

A convergence analysis of the perturbed compositional gradient flow: averaging principle and normal deviations

Wenqing Hu, Chris Junchi Li

We consider in this work a system of two stochastic differential equations named the perturbed compositional gradient flow. By introducing a separation of fast and slow scales of t…

cond-mat.supr-con2017★ 7 cited

An increase in under hydrostatic pressure in the superconducting doped topological insulator NbBiSe

M. P. Smylie, K. Willa, K. Ryan +5

We report an unexpected positive hydrostatic pressure derivative of the superconducting transition temperature in the doped topological insulator \NBS via SQUID magnetometry i…

cond-mat.str-el2017★ 17 cited

Quantum percolation phase transition and magneto-electric dipole glass in hexagonal ferrites

S. E. Rowley, T. Vojta, A. T. Jones +7

Hexagonal ferrites do not only have enormous commercial impact (£2 billion/year in sales) due to applications that include ultra-high density memories, credit card stripes, magneti…

cond-mat.supr-con2017★ 20 cited

Andreev Reflection Spectroscopy of Topological Superconductor Candidate NbBiSe

Cihan Kurter, Aaron Finck, Erik Huemiller +10

We study unconventional superconductivity in thin exfoliated single crystals of a promising 3D topological superconductor candidate, Nb-doped BiSe through Andreev reflectio…

cs.CV2017★ 35 cited

Embedding Visual Hierarchy with Deep Networks for Large-Scale Visual Recognition

Tianyi Zhao, Baopeng Zhang, Wei Zhang +3

In this paper, a level-wise mixture model (LMM) is developed by embedding visual hierarchy with deep networks to support large-scale visual recognition (i.e., recognizing thousands…