2019
DOI: 10.1039/c9nr07408b
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Full color generation with Fano-type resonant HfO2 nanopillars designed by a deep-learning approach

Abstract: In contrast to lossy plasmonic metasurfaces (MSs), wideband dielectric MSs comprising of subwavelength nanostructures supporting Mie resonances are of great interest in the visible wavelength range. Here, for the first time to our knowledge, we experimentally demonstrate a reflective MS consisting of a square-lattice array of Hafnia (HfO 2 ) nanopillars to generate a wide color gamut. To design and optimize these MSs, we use a deep-learning algorithm based on a dimensionality reduction technique. Good agreemen… Show more

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Cited by 103 publications
(54 citation statements)
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“…Furthermore, dynamically tunable and multifunctional vortex beam detectors can be realized based on novel material platform [29]. By scaling down the unit size, the proposed design can be readily extended to other frequencies [30,31]. All in all, we believe that this effective method has great expectations in various field of beam detection and high-capacity beam-multiplexing communications.…”
Section: Resultsmentioning
confidence: 97%
“…Furthermore, dynamically tunable and multifunctional vortex beam detectors can be realized based on novel material platform [29]. By scaling down the unit size, the proposed design can be readily extended to other frequencies [30,31]. All in all, we believe that this effective method has great expectations in various field of beam detection and high-capacity beam-multiplexing communications.…”
Section: Resultsmentioning
confidence: 97%
“…Owing to their judiciously engineered optical scatterers, or the so-called meta-atoms, arranged in a periodic or aperiodic texture, the amplitude, phase, polarization, and frequency of the impinging light can be spatially and spectrally manipulated, making a big step towards the realization of the next-generation flat optics [10][11][12][13]. A myriad of novel phenomena and optical functionalities have thus been demonstrated including beam shaping and steering [14,15], imaging polarimetry [16,17], large-angle holography [18,19], directional lasing [20], analog computing [21,22], quantum emission [23], nonlinear generation [24], structural coloration [25,26], and biosensing [27,28]. Similarly, complementary metal-oxide semiconductor (CMOS)-compatible silicon (Si) and silicon nitride (SiN) PICs have experienced phenomenal transformations over the past decade.…”
Section: Introductionmentioning
confidence: 99%
“…Such artifacts cause severe distortions of holographic images, which are extremely difficult to correct. Recently, machine-learning-based optimization techniques have been applied to high-performance metasurface design 22 – 24 . They require a large amount of training data, which are difficult and expensive to acquire for large-scale meta-holograms.…”
Section: Introductionmentioning
confidence: 99%