Phase-matched nonlinear second-harmonic generation in plasmonic metasurfaces

Mousavi, S. Hamed Shams; Lemasters, Robert; Wang, Feng; Dorche, Ali Eshaghian; Taheri, Hossein; Eftekhar, Ali A.; Harutyunyan, Hayk; Adibi, Ali

doi:10.1515/nanoph-2018-0181

Cited by 10 publications

(4 citation statements)

References 49 publications

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“…The strongest near field is a dipole with phase difference π at both ends of the nanorod. Due to the symmetry of the nanoantenna array, two similar dipoles produce a double lobe SH that cancels each other out to achieve a 0°emission angle [28][29][30] figure 1(c) shows that the electric field modulus along the length of the nanorods at different wavelengths is plotted and the interaction points are marked.…”

Section: The Model Of Antennamentioning

confidence: 99%

The accelerated design of the nanoantenna arrays by deep learning

Ma¹,

Wang²,

Li³

et al. 2022

Nanotechnology

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Nanoantenna fusion photonics and nano technology can manipulate light through the ultra-thin structure composed of sub-wavelength antennas, and meet the important requirements for miniaturized optical components, completely changing the field of optics. However, the device design process is still time-consuming and consumes computing resources. Besides, the professional knowledge requirements of engineers are also high. Relying on the algorithm's inference ability and excellent computing ability artificial intelligence (AI) has great potential in the fields of material design, material screening, and device performance prediction. However, the deep learning requires a mass of data. Therefore, this article proposes a method for the forward and inverse design of nanoantenna based on deep learning. Compared with the previous work, the network uses a two-dimensional matrix as input, which has a simple structure and is more suitable for the advantages of DNN. Simultaneously, the small datasets can be used to achieve higher accuracy. In the forward prediction, 100% of the data error is less than 0.007; in the inverse prediction, the data with error less than 0.05 accounted for 90%, 99.8% and 100% of the length, width, and height’s datasets. It demonstrates that the method can improve the automation of the design process and reduce the consumption of computer resources.

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Section: The Model Of Antennamentioning

confidence: 99%

The accelerated design of the nanoantenna arrays by deep learning

Ma¹,

Wang²,

Li³

et al. 2022

Nanotechnology

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“…For example, bow-tie-shaped gold elements [4,5], plasmonic nanogap cavity [6], nanohole array [7], individual nanohole [8], nanoparticles [9], doubly resonant Si nanoresonators [10], MoS 2 on a silicon waveguide [11], film-coupled silver nanostrips [12], graphene-based plasmonic gratings [13,14] and metal gratings [15][16][17][18][19] have been shown to largely enhance the nonlinear optical conversion efficiency. Moreover, heterostructures such as coupled semiconductormetal nanoparticle films [20], polymer/Ag/glass structure [21], and bilayer gold nanopillar-nanoaperture structure [22] have been demonstrated to enhance SHG. The nature of these enhancements is that the electromagnetic fields around and inside the metallic nanostructures are dramatically amplified due to the excitation of surface plasmons (SPs).…”

Section: Introductionmentioning

confidence: 99%

Tunable and plasmon-enhanced four-wave mixing on an aluminum grating

Cao¹,

Geng²,

Wu³

et al. 2021

J. Opt.

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We report on wavelength-tunable and plasmon-enhanced four-wave mixing (4WM) on an Al grating. When surface plasmons (SPs) are excited at the first and second pump wavelengths, the electromagnetic fields near the grating surface are dramatically enhanced and the corresponding 4WM signals are enhanced by factors of 177 and 42 compared with off resonant conditions. The maximum output power of the 4WM signal is as high as 25 nW. Moreover, by fixing the first pump beam to the SP excitation angle and tuning the second pump beam from 1200 to 1550 nm, we obtain a tunable and enhanced 4WM output from 539 to 600 nm. This setup can potentially be applied to frequency conversion, beam steering and dispersion control.

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“…In recent years, there have been significant advancements in modal phase-matched dielectric metasurfaces. It can be achieved by tailoring the metasurface geometries to achieve precise overlapping of different optical modes at the fundamental and harmonic wavelengths to boost the nonlinear generation efficiency. − This progress has provided strong solutions for designing compact and efficient nonlinear optical devices. In addition, the interband plasmonic nature of the crystalline silicon (c-Si) material near the DUV wavelength regime would enable strong surface plasmon resonance to achieve the modal phase matching in the silicon metasurface operating in the DUV. , …”

mentioning

confidence: 99%

Modal Phase-Matched Bound States in the Continuum for Enhancing Third Harmonic Generation of Deep Ultraviolet Emission

Abdelraouf,

Anthur,

Wang

et al. 2024

ACS Nano

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Coherent deep ultraviolet (DUV) light sources are crucial for various applications such as nanolithography, biomedical imaging, and spectroscopy. DUV light sources can be generated by using conventional nonlinear optical crystals (NLOs). However, NLOs are limited by their bulky size, inadequate transparency at the DUV regime, and stringent phasematching requirements for harmonic generation. Recently, dielectric metasurfaces support high Q-factor resonances and offer a promising approach for efficient harmonic generation at short wavelengths. In this study, we demonstrated a crystalline silicon (c-Si) metasurface simultaneously exciting modal phase-matched bound states in the continuum (BIC) resonance at the fundamental wavelength of 840 nm with a higher degree of freedom for precise control of the BIC resonance and a plasmonic resonance at the wavelength of 280 nm in the DUV to enhance third harmonic generation (THG). We experimentally achieved a Q-factor of ∼180 owing to the relatively large refractive index of the c-Si and the geometric symmetry breaking of the structure. We realized THG at a wavelength of 280 nm with a power of 14.5 nW by using a peak power density of 15 GW/cm 2 excitation. The measured THG power is 14 times higher than the state-of-the-art THG dielectric metasurfaces using the same peak power density in the DUV regime, and the maximum obtained THG power enhancement factor is up to 48. This approach relies on the significant third-order nonlinear susceptibility of c-Si, the interband plasmonic nature of the c-Si in the DUV, and the strong field confinement of BIC resonance to boost overall nonlinear conversion efficiency to 5.2 × 10 −6 % in the DUV regime. Our work shows the potential of c-Si BIC metasurfaces for developing efficient and ultracompact DUV light sources using high-efficacy nonlinear optical devices.

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Phase-matched nonlinear second-harmonic generation in plasmonic metasurfaces

Cited by 10 publications

References 49 publications

The accelerated design of the nanoantenna arrays by deep learning

The accelerated design of the nanoantenna arrays by deep learning

Tunable and plasmon-enhanced four-wave mixing on an aluminum grating

Modal Phase-Matched Bound States in the Continuum for Enhancing Third Harmonic Generation of Deep Ultraviolet Emission

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