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Two-dimensional electromagnetic superscatterer with arbitrary geometries AITranslate

Kunming University of Science and Technology; Kunming University of Science and Technology; Yunnan University; Kunming University of Science and Technology; Yunnan University
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Publisher: Elsevier
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Abstract AITranslate

Superscatterer is a novel device which can mimic the presence of a larger object with given size and it has potential application for camouflage against electromagnetic radiation. Based on transformation optical approach, material parameters for two-dimensional (2D) metamaterial-assisted electromagnetic superscatterer with arbitrary geometries are derived and validated by numerical simulation. These transformations can also be specialized to the design of N-sided regular polygonal superscatterer just by changing the contour equation. All theoretical and numerical results validate the material parameters for the 2D electromagnetic superscatterer we develop.

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DOI:https://doi.org/10.1016/j.commatsci.2010.06.028

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Citation Information:

Superscatterer is a novel device which can mimic the presence of a larger object with given size and it has potential application for camouflage against electromagnetic radiation. Based on transformation optical approach, material parameters for two-dimensional (2D) metamaterial-assisted electromagnetic superscatterer with arbitrary geometries are derived and validated by numerical simulation. These transformations can also be specialized to the design of N-sided regular polygonal superscatterer just by changing the contour equation. All theoretical and numerical results validate the material parameters for the 2D electromagnetic superscatterer we develop.

quote

GB/T 7714-2015 [1] Chengfu Yang, Jingjing Yang, Ming Huang, et al. Computational Materials Science, 2010(49). DOI:10.1016/j.commatsci.2010.06.028.
MLA [1] Chengfu Yang, et al., Computational Materials Science, no. 49, 2010, https://doi.org/10.1016/j.commatsci.2010.06.028.
APA [1] Chengfu Yang, Jingjing Yang, Ming Huang, Jinhui Peng, & Guanghui Cai. (2010). Computational Materials Science(49). https://doi.org/10.1016/j.commatsci.2010.06.028
IEEE [1] Chengfu Yang, Jingjing Yang, Ming Huang, Jinhui Peng, and Guanghui Cai, Computational Materials Science, no. 49, 2010, doi: 10.1016/j.commatsci.2010.06.028.