2020
DOI: 10.1016/j.isci.2020.101367
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Tuning of Classical Electromagnetically Induced Reflectance in Babinet Chalcogenide Metamaterials

Abstract: Summary Metamaterials analog of electromagnetically induced reflectance (EIR) has attracted intense attentions since they can provide various applications for novel photonic devices such as optical detectors with a high sensitivity and slow-light devices with a low loss. The development of dynamic photonic devices desires a tunable EIR feature in metamaterials. However, most metamaterials-induced EIR is not spectrally controllable particularly for the near-infrared (NIR) region. Herein, a tuning of … Show more

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Cited by 7 publications
(4 citation statements)
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“…Second, as for a dynamic device, the VO 2 -based thermal emitter undergoes a time-dependent phase-transition process and has transient intermediate states between the initial and final steady states; however, the transient intermediate states are not considered in the manuscript for simplification. Moreover, not limited to VO 2 , other phase-change materials such as Ge-Sb-Te (GST) and Ge-Sb-Se-Te (GSST) can also be considered as another degree of freedom in the design 49 , 50 , 51 and the experimental realization is desired in the future.…”
Section: Discussionmentioning
confidence: 99%
“…Second, as for a dynamic device, the VO 2 -based thermal emitter undergoes a time-dependent phase-transition process and has transient intermediate states between the initial and final steady states; however, the transient intermediate states are not considered in the manuscript for simplification. Moreover, not limited to VO 2 , other phase-change materials such as Ge-Sb-Te (GST) and Ge-Sb-Se-Te (GSST) can also be considered as another degree of freedom in the design 49 , 50 , 51 and the experimental realization is desired in the future.…”
Section: Discussionmentioning
confidence: 99%
“…Robust training regimens for parametric [143] and pixellated [167] shapes' inverse design can alleviate the challenge of response variance related to fabrication imperfections. Generative adversarial networks (GANs) have been reported to predict the optical device shape from a given optical response [168][169][170][171][172][173]. However, these methods bound the device shape based on a pre-defined probability; thus avoiding the inverse design in its truest sense and complicating the network in the process.…”
Section: Using Inverse Design Approachmentioning
confidence: 99%
“…Metamaterials, as artificial materials, could effectively manipulate electromagnetic wave behavior according to specific requirements, and thus many types of extraordinary physical properties, including negative refractive index, 1,2 backward Cherenkov radiation, 3 ultra-thin perfect absorption, 4 and inverse Doppler effect, 5 have been demonstrated, which are extremely difficult to achieved in naturally occurring materials. Besides these exotic properties, many metamaterial functional devices suitable for different scenarios have been realized, such as stealth, 6,7 communication, 8 imaging, 9 encoders, 10 and electromagnetically induced transparency (EIT), 11,12 which greatly promote the development of metamaterials in various technology-related spectral fields. In these functional devices, EIT resonance devices, as a research hotspot, have received considerable interest.…”
Section: Introductionmentioning
confidence: 99%
“…In these functional devices, EIT resonance devices, as a research hotspot, have received considerable interest. [11][12][13][14][15] The EIT effect is initially manifested as the absorption of the source by the medium that is weakened or even disappeared under the action of the incident light field, that is, the medium becomes transparent from opaque for a specific electromagnetic wave band. 16 The remarkable feature of similar EIT phenomena in metamaterials is that a narrow transmission window appears in the spectrum, and thus they have wide applications in biosensors, 17 modulators, 18 switches, 19 and optical storage 20 and in the slow light effect.…”
Section: Introductionmentioning
confidence: 99%