2018
DOI: 10.1063/1.5013084
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Ultra low-loss super-resolution with extremely anisotropic semiconductor metamaterials

Abstract: We investigate the mechanisms for the reduction of losses in doped semiconductor multilayers used for the construction of uniaxial metamaterials and show that maximizing the mean scattering time of the doped layers is key to spectrally isolating losses and maximizing anisotropy. By adjusting the layer thickness ratio of the multilayer, we show that the spectral regions of extreme anisotropy can be separated from those of high loss. Using these insights and coupled with realistic semiconductor growth parameters… Show more

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Cited by 5 publications
(3 citation statements)
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“…Notice also that both transverse and longitudinal components of the tensors (either ε, µ) are negative for GVP lenses. The anisotropic metamaterial lenses are the subject of extensive research in this area [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35]. The material properties derived there are typically optimized for ϵ z → −∞ and ϵ x → 0, which represents the limit case for the material properties derived here based on equation (15).…”
Section: Numerical Simulationsmentioning
confidence: 99%
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“…Notice also that both transverse and longitudinal components of the tensors (either ε, µ) are negative for GVP lenses. The anisotropic metamaterial lenses are the subject of extensive research in this area [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35]. The material properties derived there are typically optimized for ϵ z → −∞ and ϵ x → 0, which represents the limit case for the material properties derived here based on equation (15).…”
Section: Numerical Simulationsmentioning
confidence: 99%
“…The material properties derived there are typically optimized for ϵ z → −∞ and ϵ x → 0, which represents the limit case for the material properties derived here based on equation (15). The proposed GVP lenses (simplified) can be realized using the metal-dielectric structures [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35].…”
Section: Numerical Simulationsmentioning
confidence: 99%
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