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David R. Smith

Researcher at Duke University

Publications -  891
Citations -  102589

David R. Smith is an academic researcher from Duke University. The author has contributed to research in topics: Metamaterial & Antenna (radio). The author has an hindex of 110, co-authored 881 publications receiving 91683 citations. Previous affiliations of David R. Smith include Brunel University London & Princeton University.

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Fast response of electron-scale turbulence to auxiliary heating cessation in National Spherical Torus Experiment

TL;DR: Ono et al. as discussed by the authors reported the first observation of the fast response of electron-scale turbulence to auxiliary heating cessation in National Spherical Torus eXperiment (NSTE).
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Advanced Processing of 3D Computational Microwave Polarimetry Using a Near-Field Frequency-Diverse Antenna

TL;DR: The polarization states of the non-planar vector sensing fields with three-dimensional (3D) Jones vectors are described and the polarization diversity with the polarization ellipses in 3D space is examined.
Posted Content

Implementation and Characterization of a Two-Dimensional Printed Circuit Dynamic Metasurface Aperture for Computational Microwave Imaging

TL;DR: In this article, the design, fabrication, and experimental characterization of a two-dimensional, dynamically tuned, metasurface aperture is presented, emphasizing its potential performance in computational imaging applications.
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Near-field multistatic radar reconstruction with stretched-phase Fourier accelerated multistatic imaging

TL;DR: Stretched-phase FAMI (SP-FAMI) allows imaging in the Fresnel region of the antennas so that targets may be very close to the array while retaining the computational benefits of Fourier reconstruction.
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Monitoring WLCG with lambda-architecture: a new scalable data store and analytics platform for monitoring at petabyte scale.

TL;DR: This paper presents a new scalable data store and analytics platform designed by the Support for Distributed Computing (SDC) group, at the CERN IT department, which uses a variety of technologies each one targeting specific aspects of big-scale distributed data-processing (commonly referred as lambda-architecture approach).