D
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.
Papers
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Numerical studies of the modification of photodynamic processes by film-coupled plasmonic nanoparticles
TL;DR: In this article, a method for numerically studying plasmonic enhancements in fluorescence and applying it to several variants of the film-coupled nanoparticle platform was proposed.
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Equivalent circuit analysis of metamaterial strain-dependent effective medium parameters
TL;DR: In this paper, the authors analyzed the strain-dependent effective medium properties for a metamaterial electric-LC (ELC) resonator, commonly used in metammaterial designs to provide a tailored electric response to electromagnetic waves.
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Software Calibration of a Frequency-Diverse, Multistatic, Computational Imaging System
Okan Yurduseven,Jonah N. Gollub,Kenneth P. Trofatter,Daniel L. Marks,Alec Rose,David R. Smith +5 more
TL;DR: A calibration scheme is proposed that compares the measured versus simulated scattered field from a cylinder and calculates a compensating phase difference to be applied at each of the panels comprising the system, avoiding a more laborious manual calibration step.
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A Transverse Spectrum Deconvolution Technique for MIMO Short-Range Fourier Imaging
Thomas Fromenteze,Okan Yurduseven,Fabien Berland,Cyril Decroze,David R. Smith,Alexander Yarovoy +5 more
TL;DR: This paper presents a new technique called the transverse spectrum deconvolution range migration algorithm allowing us to carry out reconstructions that are both faster and more accurate than with conventional Fourier domain processing techniques.
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Millimeter-wave spotlight imager using dynamic holographic metasurface antennas
TL;DR: In many imaging scenarios, the highest resolution is needed only in smaller subdomains of interest within a scene, suggesting an aperture supporting multiple modalities of image capture with different resolutions can provide a path to system optimization.