Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Panjab UniversityIN1.9k papers
- University of Illinois ChicagoUS1.9k papers
- Purdue University West LafayetteUS1.9k papers
- Centre National de la Recherche ScientifiqueFR1.8k papers
- Florida State UniversityUS1.8k papers
- Fermi National Accelerator LaboratoryUS1.8k papers
- University of RochesterUS1.7k papers
- University of California, RiversideUS1.7k papers
- University of VirginiaUS1.7k papers
- Brown UniversityUS1.7k papers
- Texas A&M UniversityUS1.7k papers
- University of KansasUS1.7k papers
365 papers · 1 filter
Parallel Digital Predistortion Design on Mobile GPU and Embedded Multicore CPU for Mobile Transmitters
Kaipeng Li, Amanullah Ghazi, Chance Tarver +6
Digital predistortion (DPD) is a widely adopted baseband processing technique in current radio transmitters. While DPD can effectively suppress unwanted spurious spectrum emissions…
Meromorphic quadratic differentials and measured foliations on a Riemann surface
Subhojoy Gupta, Michael Wolf
We describe the space of measured foliations induced on a compact Riemann surface by meromorphic quadratic differentials. We prove that any such foliation is realized by a unique s…
Fragmentation of Kozai-Lidov Disks
Wen Fu, Stephen H. Lubow, Rebecca G. Martin
We analyze the gravitational instability (GI) of a locally isothermal inclined disk around one component of a binary system. Such a disk can undergo global Kozai-Lidov (KL) cycles…
Nonlinear photoluminescence imaging of isotropic and liquid crystalline dispersions of graphene oxide
Bohdan Senyuk, Natnael Behabtu, Benjamin G. Pacheco +5
We report a visible-range nonlinear photoluminescence (PL) from graphene oxide (GO) flakes excited by near-infrared femtosecond laser light. PL intensity has nonlinear dependence o…
Shape-dependent oriented trapping and scaffolding of plasmonic nanoparticles by topological defects for self-assembly of colloidal dimers in liquid crystals
Bohdan Senyuk, Julian S. Evans, Paul J. Ackerman +6
We demonstrate scaffolding of plasmonic nanoparticles by topological defects induced by colloidal microspheres to match their surface boundary conditions with a uniform far-field a…
Relativistic Shear Flow Between Electron-Ion and Electron-Positron Plasmas and Astrophysical Applications
Edison Liang, Wen Fu, Markus Böttcher
We present Particle-in-Cell simulation results of relativistic shear boundary layers between electron-ion and electron-positron plasmas and discuss their potential applications to…
Lattice model parameters for ultracold nonreactive molecules: chaotic scattering and its limitations
Michael L. Wall, Rick Mukherjee, Shah Saad Alam +2
We calculate the parameters of the recently-derived many-channel Hubbard model that is predicted to describe ultracold nonreactive molecules in an optical lattice, going beyond the…
Microscopic derivation of multi-channel Hubbard models for ultracold nonreactive molecules in an optical lattice
Michael L. Wall, Nirav P. Mehta, Rick Mukherjee +2
Recent experimental advances in the cooling and manipulation of bialkali dimer molecules have enabled the production of gases of ultracold molecules that are not chemically reactiv…
Geometric representation of spin correlations and applications to ultracold systems
Rick Mukherjee, Anthony E. Mirasola, Jacob Hollingsworth +2
We provide a one-to-one map between the spin correlations and certain three-dimensional shapes, analogous to the map between single spins and Bloch vectors, and demonstrate its uti…
Three-dimensional patterning of solid microstructures through laser reduction of colloidal graphene oxide in liquid-crystalline dispersions
Bohdan Senyuk, Natnael Behabtu, Angel Martinez +6
Graphene materials and structures have become an essential part of modern electronics and photovoltaics. However, despite many production methods, applications of graphene-based st…
Correlations generated from high-temperature states: nonequilibrium dynamics in the Fermi-Hubbard model
Ian G. White, Randall G. Hulet, Kaden R. A. Hazzard
We study interaction quenches of the Fermi-Hubbard model initiated from various high-temperature and high-energy states, motivated by cold atom experiments, which currently operate…
Multi-Photon Transitions in Coupled Plasmon-Cyclotron Resonance Measured by Millimeter-Wave Reflection
Jie Zhang, Ruiyuan Liu, Rui-Rui Du +2
We construct a low-temperature microwave waveguide interferometer for measuring high-frequency properties of two-dimensional electron gases (2DEGs). Coupled plasmon-cyclotron reson…
Identifying potentially induced seismicity and assessing statistical significance in Oklahoma and California
Mark McClure, Riley Gibson, Kitkwan Chiu +1
We develop a statistical method for identifying induced seismicity from large datasets and apply the method to decades of wastewater disposal and seismicity data in California and…
Spin anisotropy due to spin-orbit coupling in optimally hole-doped BaKFeAs
Yu Song, Haoran Man, Rui Zhang +9
We use polarized inelastic neutron scattering to study the temperature and energy dependence of spin space anisotropies in the optimally hole-doped iron pnictide BaK$_{0.3…
An accelerated Poisson solver based on multidomain spectral discretization
Tracy Babb, Adrianna Gillman, Sijia Hao +1
This paper presents a numerical method for variable coefficient elliptic PDEs with mostly smooth solutions on two dimensional domains. The PDE is discretized via a multi-domain spe…
Accretion and Magnetic Reconnection in the Classical T Tauri Binary DQ Tau
Benjamin M. Tofflemire, Robert D. Mathieu, David R. Ardila +5
Binary star-formation theory predicts that close binaries (a<100 AU) will experience periodic pulsed accretion events as streams of material form at the inner edge of a circumbinar…
A Probabilistic Framework for Deep Learning
Ankit B. Patel, Tan Nguyen, Richard G. Baraniuk
We develop a probabilistic framework for deep learning based on the Deep Rendering Mixture Model (DRMM), a new generative probabilistic model that explicitly capture variations in…
Modular knowledge systems accelerate human migration in asymmetric random environments
Dong Wang, Michael W. Deem
Migration is a key mechanism for expansion of communities. In spatially heterogeneous environments, rapidly gaining knowledge about the local environment is key to the evolutionary…
Search for heavy gauge W' bosons in events with an energetic lepton and large missing transverse momentum at sqrt(s) = 13 TeV
CMS Collaboration
A search is presented for W' bosons in events with an electron or muon and large missing transverse momentum, using proton-proton collision data at sqrt(s) = 13 TeV collected with…
Measurement of electroweak-induced production of W gamma with two jets in pp collisions at sqrt(s) = 8 TeV and constraints on anomalous quartic gauge couplings
CMS Collaboration
A measurement of electroweak-induced production of W gamma and two jets is performed, where the W boson decays leptonically. The data used in the analysis correspond to an integrat…
Search for massive resonances decaying into WW, WZ or ZZ bosons in proton-proton collisions at sqrt(s) = 13 TeV
CMS Collaboration
A search is presented for new massive resonances decaying to WW, WZ or ZZ bosons in l nu quark anti-quark and quark anti-quark quark anti-quark final states. Results are based on d…
Force percolation of contractile active gels
José Alvarado, Misha Sheinman, Abhinav Sharma +2
Cells and tissues exert forces and can actively change shape. This strikingly autonomous behavior is powered by the cytoskeleton, which includes an active gel of actin filaments, c…
Critical Phenomena and Kibble-Zurek Scaling in the Long-Range Quantum Ising Chain
Daniel Jaschke, Kenji Maeda, Joseph D. Whalen +2
We investigate an extension of the quantum Ising model in one spatial dimension including long-range interactions in its statics and dynamics with possible applications f…
A Convex Program for Mixed Linear Regression with a Recovery Guarantee for Well-Separated Data
Paul Hand, Babhru Joshi
We introduce a convex approach for mixed linear regression over features. This approach is a second-order cone program, based on L1 minimization, which assigns an estimate regr…