Dielectric metalens for miniaturized imaging systems: progress and challenges

Light Science & Applications, Journal Year: 2022, Volume and Issue: 11(1)

Published: June 28, 2022

Abstract Lightweight, miniaturized optical imaging systems are vastly anticipated in these fields of aerospace exploration, industrial vision, consumer electronics, and medical imaging. However, conventional techniques intricate to downscale as refractive lenses mostly rely on phase accumulation. Metalens, composed subwavelength nanostructures that locally control light waves, offers a disruptive path for small-scale systems. Recent advances the design nanofabrication dielectric metalenses have led some high-performance practical This review outlines exciting developments aforementioned area whilst highlighting challenges using replace optics miniature After brief introduction fundamental physics metalenses, progress terms typical performances introduced. The supplementary discussion common hindering further development is also presented, including limitations methods, difficulties scaling up, device integration. Furthermore, potential approaches address existing deliberated.

Language: Английский

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Revolutionary meta-imaging: from superlens to metalens

Photonics Insights, Journal Year: 2023, Volume and Issue: 2(1), P. R01 - R01

Published: Jan. 1, 2023

The refractive-lens technique has been well developed over a long period of evolution, offering powerful imaging functionalities, such as microscopes, telescopes, and spectroscopes. Nevertheless, the ever-growing requirements continue to urge further enhanced capabilities upgraded devices that are more compact for convenience. Metamaterial fascinating concept inspired unprecedented new explorations in physics, material science, optics, not only fundamental researches but also novel applications. Along with topic, this paper reviews progress flat lens an important branch metamaterials, covering early superlens super-diffraction capability current hot topics metalenses including paralleled strategy multilevel diffractive lenses. Numerous efforts approaches have dedicated areas ranging from physics feasible This review provides clear picture flat-lens evolution perspective metamaterial design, elucidating relation comparison between metalens, addressing derivative designs. Finally, application scenarios favor ultrathin emphasized respect possible revolutionary devices, followed by conclusive remarks prospects.

Language: Английский

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Expanding the Horizons of Machine Learning in Nanomaterials to Chiral Nanostructures

Advanced Materials, Journal Year: 2024, Volume and Issue: 36(18)

Published: Jan. 19, 2024

Abstract Machine learning holds significant research potential in the field of nanotechnology, enabling nanomaterial structure and property predictions, facilitating materials design discovery, reducing need for time‐consuming labor‐intensive experiments simulations. In contrast to their achiral counterparts, application machine chiral nanomaterials is still its infancy, with a limited number publications date. This despite great advance development new sustainable high values optical activity, circularly polarized luminescence, enantioselectivity, as well analysis structural chirality by electron microscopy. this review, an methods used studying provided, subsequently offering guidance on adapting extending work nanomaterials. An overview within framework synthesis–structure–property–application relationships presented insights how leverage study these highly complex are provided. Some key recent reviewed discussed Finally, review captures achievements, ongoing challenges, prospective outlook very important field.

Language: Английский

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Electrically tunable optical metasurfaces

Photonics Insights, Journal Year: 2024, Volume and Issue: 3(3), P. R07 - R07

Published: Jan. 1, 2024

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On-chip light control of semiconductor optoelectronic devices using integrated metasurfaces

Opto-Electronic Advances, Journal Year: 2025, Volume and Issue: 0(0), P. 240159 - 240159

Published: Jan. 1, 2025

Semiconductor optoelectronics devices, capable of converting electrical power into light or conversely in a compact and highly efficient manner represent one the most advanced technologies ever developed, which has profoundly reshaped modern life with wide range applications. In recent decades, semiconductor technology rapidly evolved from first-generation narrow bandgap materials (Si, Ge) to latest fourth-generation ultra-wide (GaO, diamond, AlN) enhanced performance meet growing demands. Additionally, merging devices other techniques, such as computer assisted design, state-of-the-art micro/nano fabrications, novel epitaxial growth, have significantly accelerated development devices. Among them, integrating metasurfaces optoelectronic opened new frontiers for on-chip control their electromagnetic response, providing access previously inaccessible degrees freedom. We review advances variety using integrated metasurfaces, including lasers, emitting photodetectors, low dimensional semiconductors. The integration semiconductors offers wafer-level ultracompact solutions manipulating functionalities while also practical platform implementing cutting-edge metasurface real-world

Language: Английский

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Inverse design of Mie resonators with minimal backscattering

Optics Letters, Journal Year: 2025, Volume and Issue: 50(5), P. 1735 - 1735

Published: Feb. 10, 2025

Manipulation and engineering of light scattering by resonant nanostructures is one the central problems in optics photonics. In this work, we theoretically study effect suppressed backscattering a dielectric nanoantenna. We employed covariance matrix adaptation evolution strategy (CMA-ES) to identify geometries axisymmetric structures with minimized backward cross section. Zero achieved due generalized Kerker multipole cancellation condition. found set shapes nanoantenna having intensity close zero. With help clustering algorithm, all fall separated into several groups according their multipolar content. While optical properties scatterers each group were similar content, can be significantly different. This highlights inherent ambiguity free-form optimization problems. believe that obtained results designing nanophotonic such as antireflective metasurfaces other electromagnetic-based devices.

Language: Английский

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Computation at the speed of light: metamaterials for all-optical calculations and neural networks

Advanced Photonics, Journal Year: 2022, Volume and Issue: 4(06)

Published: Dec. 21, 2022

The explosion in the amount of information that is being processed prompting need for new computing systems beyond existing electronic computers. Photonic emerging as an attractive alternative due to performing calculations at speed light, change massive parallelism, and also extremely low energy consumption. We review physical implementation basic optical calculations, such differentiation integration, using metamaterials, introduce realization all-optical artificial neural networks. start with concise introductions mathematical principles behind computation methods present advantages, current problems be overcome, potential future directions field. expect our will useful both novice experienced researchers field platforms metamaterials.

Language: Английский

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Chiral detection of biomolecules based on reinforcement learning

Opto-Electronic Science, Journal Year: 2023, Volume and Issue: 2(1), P. 220019 - 220019

Published: Jan. 1, 2023

Chirality plays an important role in biological processes, and enantiomers often possess similar physical properties different physiologic functions. In recent years, chiral detection of become a popular topic. Plasmonic metasurfaces enhance weak inherent effects biomolecules, so they are used detection. Artificial intelligence algorithm makes lot contribution to many aspects nanophotonics. Here, we propose nanostructure design method based on reinforcement learning devise nanostructures distinguish enantiomers. The finds out the metallic with sharp peak circular dichroism spectra emphasizes frequency shifts caused by nearfield interaction biomolecules. Our work inspires universal efficient machine-learning methods for nanophotonic design.

Language: Английский

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Enhancing image resolution of confocal fluorescence microscopy with deep learning

PhotoniX, Journal Year: 2023, Volume and Issue: 4(1)

Published: Jan. 5, 2023

Abstract Super-resolution optical imaging is crucial to the study of cellular processes. Current super-resolution fluorescence microscopy restricted by need special fluorophores or sophisticated systems, long acquisition and computational times. In this work, we present a deep-learning-based technique confocal microscopy. We devise two-channel attention network (TCAN), which takes advantage both spatial representations frequency contents learn more precise mapping from low-resolution images high-resolution ones. This scheme robust against changes in pixel size setup, enabling optimal model generalize different modalities unseen training set. Our algorithm validated on diverse biological structures dual-color actin-microtubules, improving resolution ~ 230 nm 110 nm. Last but not least, demonstrate live-cell revealing detailed dynamic instability microtubules.

Language: Английский

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Software-defined nanophotonic devices and systems empowered by machine learning

Progress in Quantum Electronics, Journal Year: 2023, Volume and Issue: 89, P. 100469 - 100469

Published: April 4, 2023

Language: Английский

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