Nano-Photonics: Subwavelength Optical Elements, Metasurfaces, Plasmonics and Quantum Photonics

A special issue of Nanomaterials (ISSN 2079-4991). This special issue belongs to the section "Nanophotonics Materials and Devices".

Deadline for manuscript submissions: closed (20 March 2024) | Viewed by 8642

Special Issue Editors

Ming Hsieh Department of Electrical and Computer Engineering—Electrophysics University of Southern California, Los Angeles, CA 90089, USA
Interests: nanofabrication; memristor; plasmonics; optical metamaterials; nano-electrochemical cell
Special Issues, Collections and Topics in MDPI journals
Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, USA
Interests: integrated photonics; optoelectronics; nonlinear optical materials; quantum photonics

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Guest Editor
Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: optoelectronic devices; nanophotonics; plasmonics; metasurfaces

Special Issue Information

Dear Colleagues,

Nanophotonics has progressed significantly over the past several decades. Rich findings on light–nanostructure interactions have been discovered, and they have inspired exciting research on subwavelength optical elements, optical metamaterials, metastructures, metasurfaces, plasmonics and quantum optics. Consequently, the progress in these fields has opened the door to plural applications in communication, sensing, disease detection, quantum computing and quantum communications.

We invite researchers to contribute original and review articles regarding the science and application of nanophotonics. Potential topics include, but are not limited to: nanogratings, metasurfaces/metastructures/metamaterials, plasmonics, quantum optics, their applications and technologies to fabricate them.

We look forward to receiving your contributions.

Dr. Wei Wu
Dr. Mengjie Yu
Dr. Boxiang Song
Guest Editors

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Keywords

  • subwavelength optical elements
  • metasurfaces
  • metastructures
  • metamaterials
  • plasmonics
  • quantum photonics

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Related Special Issue

Published Papers (4 papers)

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Research

13 pages, 2257 KiB  
Article
High-Efficiency Metamaterial-Engineered Grating Couplers for Silicon Nitride Photonics
by William Fraser, Radovan Korček, Ivan Glesk, Jan Litvik, Jens H. Schmid, Pavel Cheben, Winnie N. Ye and Daniel Benedikovic
Nanomaterials 2024, 14(7), 581; https://doi.org/10.3390/nano14070581 - 27 Mar 2024
Cited by 4 | Viewed by 2223
Abstract
Silicon nitride (Si3N4) is an ideal candidate for the development of low-loss photonic integrated circuits. However, efficient light coupling between standard optical fibers and Si3N4 chips remains a significant challenge. For vertical grating couplers, the lower [...] Read more.
Silicon nitride (Si3N4) is an ideal candidate for the development of low-loss photonic integrated circuits. However, efficient light coupling between standard optical fibers and Si3N4 chips remains a significant challenge. For vertical grating couplers, the lower index contrast yields a weak grating strength, which translates to long diffractive structures, limiting the coupling performance. In response to the rise of hybrid photonic platforms, the adoption of multi-layer grating arrangements has emerged as a promising strategy to enhance the performance of Si3N4 couplers. In this work, we present the design of high-efficiency surface grating couplers for the Si3N4 platform with an amorphous silicon (α-Si) overlay. The surface grating, fully formed in an α-Si waveguide layer, utilizes subwavelength grating (SWG)-engineered metamaterials, enabling simple realization through single-step patterning. This not only provides an extra degree of freedom for controlling the fiber–chip coupling but also facilitates portability to existing foundry fabrication processes. Using rigorous three-dimensional (3D) finite-difference time-domain (FDTD) simulations, a metamaterial-engineered grating coupler is designed with a coupling efficiency of −1.7 dB at an operating wavelength of 1.31 µm, with a 1 dB bandwidth of 31 nm. Our proposed design presents a novel approach to developing high-efficiency fiber–chip interfaces for the silicon nitride integration platform for a wide range of applications, including datacom and quantum photonics. Full article
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11 pages, 2907 KiB  
Article
Design and Analysis of the Dual-Band Far-Field Super-Resolution Metalens with Large Aperture
by Cheng Guo, Zhishuai Zheng, Ziang Liu, Zilong Yan, Yucheng Wang, Ruotong Chen, Zhuonan Liu, Peiquan Yu, Weihao Wan, Qing Zhao and Xiaoping Huang
Nanomaterials 2024, 14(6), 513; https://doi.org/10.3390/nano14060513 - 13 Mar 2024
Cited by 1 | Viewed by 1301
Abstract
The resolving power of metalens telescopes rely on their aperture size. Flat telescopes are advancing with the research on super-resolution confocal metalenses with large aperture. However, the aperture sizes of metalenses are usually bound within hundreds of micrometers due to computational and fabrication [...] Read more.
The resolving power of metalens telescopes rely on their aperture size. Flat telescopes are advancing with the research on super-resolution confocal metalenses with large aperture. However, the aperture sizes of metalenses are usually bound within hundreds of micrometers due to computational and fabrication challenges, limiting their usage on practical optical devices like telescopes. In this work, we demonstrated a two-step designing method for the design of dual-band far-field super-resolution metalens with aperture sizes from the micro-scale to macro-scale. By utilizing two types of inserted unit cells, the phase profile of a dual-wavelength metalens with a small aperture of 100 μm was constructed. Through numerical simulation, the measured FWHM values of the focal spots of 5.81 μm and 6.81 μm at working wavelengths of 632.8 nm and 1265.6 nm were found to all be slightly smaller than the values of 0.61 λ/NA, demonstrating the super-resolution imaging of the designed metalens. By measuring the optical power ratio of the focal plane and the incident plane, the focusing efficiencies were 76% at 632.8 nm and 64% at 1265.6 nm. Based on the design method for small-aperture metalens, far-field imaging properties through the macro metalens with an aperture of 40 mm were simulated by using the Huygens–Fresnel principle. The simulation results demonstrate confocal far-field imaging behavior at the target wavelengths of 632.8 nm and 1265.6 nm, with a focal length of 200 mm. The design method for dual-band far-field super-resolution metalens with a large aperture opens a door towards the practical applications in the dual-band space telescope system. Full article
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13 pages, 11012 KiB  
Article
Manipulating the Generation of Photonic Moiré Lattices Using Plasmonic Metasurfaces
by Zhanliang Mu, Yuqin Zhang, Jianshan An, Xuehui Zhang, Haoran Zhou, Hongsheng Song, Changwei He, Guiyuan Liu and Chuanfu Cheng
Nanomaterials 2024, 14(2), 230; https://doi.org/10.3390/nano14020230 - 20 Jan 2024
Cited by 1 | Viewed by 1927
Abstract
The generation of moiré lattices by superimposing two identical sublattices at a specific twist angle has garnered significant attention owing to its potential applications, ranging from two-dimensional materials to manipulating light propagation. While macroscale moiré lattices have been widely studied, further developments in [...] Read more.
The generation of moiré lattices by superimposing two identical sublattices at a specific twist angle has garnered significant attention owing to its potential applications, ranging from two-dimensional materials to manipulating light propagation. While macroscale moiré lattices have been widely studied, further developments in manipulating moiré lattices at the subwavelength scale would be crucial for miniaturizing and integrating platforms. Here, we propose a plasmonic metasurface design consisting of rotated nanoslits arranged within N + N′ round apertures for generating focused moiré lattices. By introducing a spin-dependent geometric phase through the rotated nanoslits, an overall lens and spiral phase can be achieved, allowing each individual set of round apertures to generate a periodic lattice in the focal plane. Superimposing two sets of N and N′ apertures at specific twist angles and varying phase differences allows for the superposition of two sublattices with different periods, leading to the formation of diverse moiré patterns. Our simulations and theoretical results demonstrate the feasibility of our proposed metasurface design. Due to their compactness and tunability, the utilization of metasurfaces in creating nanoscale photonic moiré lattices is anticipated to find extensive applications in integrated and on-chip optical systems. Full article
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14 pages, 8523 KiB  
Article
End-to-End Diverse Metasurface Design and Evaluation Using an Invertible Neural Network
by Yunxiang Wang, Ziyuan Yang, Pan Hu, Sushmit Hossain, Zerui Liu, Tse-Hsien Ou, Jiacheng Ye and Wei Wu
Nanomaterials 2023, 13(18), 2561; https://doi.org/10.3390/nano13182561 - 15 Sep 2023
Cited by 3 | Viewed by 2306
Abstract
Employing deep learning models to design high-performance metasurfaces has garnered significant attention due to its potential benefits in terms of accuracy and efficiency. A deep learning-based metasurface design framework typically comprises a forward prediction path for predicting optical responses and a backward retrieval [...] Read more.
Employing deep learning models to design high-performance metasurfaces has garnered significant attention due to its potential benefits in terms of accuracy and efficiency. A deep learning-based metasurface design framework typically comprises a forward prediction path for predicting optical responses and a backward retrieval path for generating geometrical configurations. In the forward design path, a specific geometrical configuration corresponds to a unique optical response. However, in the inverse design path, a single performance metric can correspond to multiple potential designs. This one-to-many mapping poses a significant challenge for deep learning models and can potentially impede their performance. Although representing the inverse path as a probabilistic distribution is a widely adopted method for tackling this problem, accurately capturing the posterior distribution to encompass all potential solutions remains an ongoing challenge. Furthermore, in most pioneering works, the forward and backward paths are captured using separate models. However, the knowledge acquired from the forward path does not contribute to the training of the backward model. This separation of models adds complexity to the system and can hinder the overall efficiency and effectiveness of the design framework. Here, we utilized an invertible neural network (INN) to simultaneously model both the forward and inverse process. Unlike other frameworks, INN focuses on the forward process and implicitly captures a probabilistic model for the inverse process. Given a specific optical response, the INN enables the recovery of the complete posterior over the parameter space. This capability allows for the generation of novel designs that are not present in the training data. Through the integration of the INN with the angular spectrum method, we have developed an efficient and automated end-to-end metasurface design and evaluation framework. This novel approach eliminates the need for human intervention and significantly speeds up the design process. Utilizing this advanced framework, we have effectively designed high-efficiency metalenses and dual-polarization metasurface holograms. This approach extends beyond dielectric metasurface design, serving as a general method for modeling optical inverse design problems in diverse optical fields. Full article
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