Deep learning in nano-photonics: inverse design and beyond

Photonics Research, Journal Year: 2021, Volume and Issue: 9(5), P. B182 - B182

Published: Jan. 29, 2021

Deep learning in the context of nano-photonics is mostly discussed terms its potential for inverse design photonic devices or nanostructures. Many recent works on machine-learning are highly specific, and drawbacks respective approaches often not immediately clear. In this review we want therefore to provide a critical capabilities deep progress which has been made so far. We classify different learning-based at higher level as well by their applications critically discuss strengths weaknesses. While significant part community's attention lies nano-photonic design, evolved tool large variety applications. The second will focus machine research "beyond design". This spans from physics informed neural networks tremendous acceleration photonics simulations, over sparse data reconstruction, imaging "knowledge discovery" experimental

Language: Английский

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Intelligent metasurfaces: control, communication and computing

eLight, Journal Year: 2022, Volume and Issue: 2(1)

Published: May 6, 2022

Abstract Controlling electromagnetic waves and information simultaneously by metasurfaces is of central importance in modern society. Intelligent are smart platforms to manipulate the wave–information–matter interactions without manual intervention synergizing engineered ultrathin structures with active devices algorithms, which evolve from passive composite materials for tailoring wave–matter that cannot be achieved nature. Here, we review recent progress intelligent controls providing historical background underlying physical mechanisms. Then explore application developing novel wireless communication architectures, particular emphasis on metasurface-modulated backscatter communications. We also wave-based computing using metasurfaces, focusing emerging research direction sensing. Finally, comment challenges highlight potential routes further developments controls, communications computing.

Language: Английский

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Mechanical metamaterials and beyond

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Sept. 26, 2023

Mechanical metamaterials enable the creation of structural materials with unprecedented mechanical properties. However, thus far, research on has focused passive and tunability their Deep integration multifunctionality, sensing, electrical actuation, information processing, advancing data-driven designs are grand challenges in community that could lead to truly intelligent metamaterials. In this perspective, we provide an overview within beyond classical functionalities. We discuss various aspects approaches for inverse design optimization multifunctional Our aim is new roadmaps discovery next-generation active responsive can interact surrounding environment adapt conditions while inheriting all outstanding features Next, deliberate emerging specific functionalities informative scientific devices. highlight open ahead metamaterial systems at component levels transition into domain application capabilities.

Language: Английский

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Applications of optical microcombs

Advances in Optics and Photonics, Journal Year: 2022, Volume and Issue: 15(1), P. 86 - 86

Published: Nov. 9, 2022

Optical microcombs represent a new paradigm for generating laser frequency combs based on compact chip-scale devices, which have underpinned many modern technological advances both fundamental science and industrial applications. Along with the surge in activity related to optical micro-combs past decade, their applications also experienced rapid progress, not only traditional fields such as synthesis, signal processing, communications, but interdisciplinary spanning frontiers of light detection ranging (LiDAR), astronomical detection, neuromorphic computing, quantum optics. This paper reviews microcombs. First, an overview devices methods is provided, are categorized into material platforms, device architectures, soliton classes, driving mechanisms. Second, broad systematically reviewed, microwave photonics, precision measurements, Finally, current challenges future perspectives discussed.

Language: Английский

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Intelligent Computing: The Latest Advances, Challenges, and Future

Intelligent Computing, Journal Year: 2023, Volume and Issue: 2

Published: Jan. 1, 2023

Computing is a critical driving force in the development of human civilization. In recent years, we have witnessed emergence intelligent computing, new computing paradigm that reshaping traditional and promoting digital revolution era big data, artificial intelligence, internet things with theories, architectures, methods, systems, applications. Intelligent has greatly broadened scope extending it from on data to increasingly diverse paradigms such as perceptual cognitive autonomous human–computer fusion intelligence. Intelligence undergone paths different evolution for long time but become intertwined years: not only intelligence oriented also driven. Such cross-fertilization prompted rapid advancement computing. still its infancy, an abundance innovations applications expected occur soon. We present first comprehensive survey literature covering theory fundamentals, technological important applications, challenges, future perspectives. believe this highly timely will provide reference cast valuable insights into academic industrial researchers practitioners.

Language: Английский

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Roadmap for Optical Metasurfaces

ACS Photonics, Journal Year: 2024, Volume and Issue: 11(3), P. 816 - 865

Published: Feb. 27, 2024

Metasurfaces have recently risen to prominence in optical research, providing unique functionalities that can be used for imaging, beam forming, holography, polarimetry, and many more, while keeping device dimensions small. Despite the fact a vast range of basic metasurface designs has already been thoroughly studied literature, number metasurface-related papers is still growing at rapid pace, as research now spreading adjacent fields, including computational augmented virtual reality, automotive, display, biosensing, nonlinear, quantum topological optics, computing, more. At same time, ability metasurfaces perform functions much more compact systems triggered strong constantly interest from various industries greatly benefit availability miniaturized, highly functional, efficient components integrated optoelectronic low cost. This creates truly opportunity field make both scientific an industrial impact. The goal this Roadmap mark "golden age" define future directions encourage scientists engineers drive development toward excellence broad adoption.

Language: Английский

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Single-layer spatial analog meta-processor for imaging processing

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: April 21, 2022

Abstract Computational meta-optics brings a twist on the accelerating hardware with benefits of ultrafast speed, ultra-low power consumption, and parallel information processing in versatile applications. Recent advent metasurfaces have enabled full manipulation electromagnetic waves within subwavelength scales, promising multifunctional, high-throughput, compact flat optical processors. In this trend, nonlocality or multi-layer structures are proposed to perform analog computations based Green’s function Fourier transform, intrinsically constrained by limited operations large footprints/volume. Here, we showcase Fourier-based metaprocessor impart customized highly flexible transfer functions for computing upon our single-layer Huygens’ metasurface. Basic mathematical operations, including differentiation cross-correlation, performed directly modulating complex wavefronts spatial domain, facilitating edge detection pattern recognition various image processing. Our work substantiates an ultracompact powerful kernel processor, which could find important applications

Language: Английский

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All-analog photoelectronic chip for high-speed vision tasks

Nature, Journal Year: 2023, Volume and Issue: 623(7985), P. 48 - 57

Published: Oct. 25, 2023

Abstract Photonic computing enables faster and more energy-efficient processing of vision data 1–5 . However, experimental superiority deployable systems remains a challenge because complicated optical nonlinearities, considerable power consumption analog-to-digital converters (ADCs) for downstream digital vulnerability to noises system errors 1,6–8 Here we propose an all-analog chip combining electronic light (ACCEL). It has systemic energy efficiency 74.8 peta-operations per second watt speed 4.6 (more than 99% implemented by optics), corresponding three one order magnitude higher state-of-the-art processors, respectively. After applying diffractive as encoder feature extraction, the light-induced photocurrents are directly used further calculation in integrated analog without requirement converters, leading low latency 72 ns each frame. With joint optimizations optoelectronic adaptive training, ACCEL achieves competitive classification accuracies 85.5%, 82.0% 92.6%, respectively, Fashion-MNIST, 3-class ImageNet time-lapse video recognition task experimentally, while showing superior robustness low-light conditions (0.14 fJ μm −2 frame). can be across broad range applications such wearable devices, autonomous driving industrial inspections.

Language: Английский

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Ultracompact meta-imagers for arbitrary all-optical convolution

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

Published: March 18, 2022

Electronic digital convolutions could extract key features of objects for data processing and information identification in artificial intelligence, but they are time-cost energy consumption due to the low response electrons. Although massless photons enable high-speed low-loss analog convolutions, two existing all-optical approaches including Fourier filtering Green's function have either limited functionality or bulky volume, thus restricting their applications smart systems. Here, we report convolutional computing with a metasurface-singlet -doublet imager, considered as third approach, where its point spread is modified arbitrarily via complex-amplitude meta-modulator that enables functionality-unlimited kernels. Beyond one- two-dimensional spatial differentiation, demonstrate real-time, parallel, optical biological specimens challenging pepper-salt denoising edge enhancement, which significantly enrich toolkit computing. Such meta-imager approach bridges multi-functionality high-integration meanwhile possessing good architecture compatibility neural networks.

Language: Английский

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Nonlocal flat optics

Nature Photonics, Journal Year: 2022, Volume and Issue: 17(1), P. 36 - 47

Published: Dec. 22, 2022

Language: Английский

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