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      Analysis of double-negative materials with surface integral equations and the multilevel fast multipole algorithm

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      Author
      Ergül O.
      Gürel, Levent
      Date
      2011
      Source Title
      CEM'11 Computational Electromagnetics International Workshop
      Publisher
      IEEE
      Pages
      57 - 60
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      We present a fast and accurate analysis of double-negative materials (DNMs) with surface integral equations and the multilevel fast multipole algorithm (MLFMA). DNMs are commonly used as simplified models of metamaterials at resonance frequencies and are suitable to be formulated with surface integral equations. However, realistic metamaterials and their models are usually very large with respect to wavelength and their accurate solutions require fast algorithms, such as MLFMA. We consider iterative solutions of DNMs with MLFMA and we investigate the accuracy and efficiency of solutions when DNMs are formulated with two recently developed formulations, namely, the combined tangential formulation (CTF) and the electric and magnetic current combined-field integral equation (JMCFIE). Numerical results on canonical objects are consistent with previous results in the literature on ordinary objects. © 2011 IEEE.
      Keywords
      Accurate analysis
      At resonance
      Canonical objects
      Combined field integral equations
      Double negative materials
      Fast algorithms
      Iterative solutions
      Magnetic currents
      Multi-level fast multi-pole algorithm
      Multilevel fast multipole algorithms
      Numerical results
      Simplified models
      Surface integral equations
      Algorithms
      Computational electromagnetics
      Electromagnetism
      Metamaterials
      Resonance
      Surfaces
      Integral equations
      Permalink
      http://hdl.handle.net/11693/28332
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/CEM.2011.6047330
      Collections
      • Computational Electromagnetics Research Center (BiLCEM) 85
      • Department of Electrical and Electronics Engineering 3524
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