Leaky-wave metasurfaces for integrated photonics

Nature Nanotechnology, Journal Year: 2023, Volume and Issue: 18(6), P. 580 - 588

Published: May 8, 2023

Language: Английский

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Meta-optics inspired surface plasmon devices

Photonics Insights, Journal Year: 2023, Volume and Issue: 2(1), P. R02 - R02

Published: Jan. 1, 2023

Surface plasmons (SPs) are electromagnetic surface waves that propagate at the interface between a conductor and dielectric. Due to their unique ability concentrate light on two-dimensional platforms produce very high local-field intensity, SPs have rapidly fueled variety of fundamental advances practical applications. In parallel, development metamaterials metasurfaces has revolutionized design concepts traditional optical devices, fostering exciting field meta-optics. This review focuses recent progress meta-optics inspired SP which implemented by careful subwavelength structures arrangement spatial distributions. Devices general interest, including coupling on-chip tailoring decoupling as well nascent applications empowered sophisticated usage meta-optics, introduced discussed.

Language: Английский

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Diffractive optical computing in free space

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Feb. 20, 2024

Abstract Structured optical materials create new computing paradigms using photons, with transformative impact on various fields, including machine learning, computer vision, imaging, telecommunications, and sensing. This Perspective sheds light the potential of free-space systems based engineered surfaces for advancing computing. Manipulating in unprecedented ways, emerging structured enable all-optical implementation mathematical functions learning tasks. Diffractive networks, particular, bring deep-learning principles into design operation to functionalities. Metasurfaces consisting deeply subwavelength units are achieving exotic responses that provide independent control over different properties can major advances computational throughput data-transfer bandwidth processors. Unlike integrated photonics-based optoelectronic demand preprocessed inputs, processors have direct access all degrees freedom carry information about an input scene/object without needing digital recovery or preprocessing information. To realize full architectures, diffractive metasurfaces need advance symbiotically co-evolve their designs, 3D fabrication/integration, cascadability, accuracy serve needs next-generation computing, telecommunication technologies.

Language: Английский

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Roadmap on electromagnetic metamaterials and metasurfaces

Journal of Physics Photonics, Journal Year: 2024, Volume and Issue: 6(3), P. 032502 - 032502

Published: Jan. 3, 2024

properties of the optical surface plasmons in microwave and terahertz frequencies using subwavelength artificial structures to construct negative permittivity.The spoof also benefit from realization ultrathin corrugated metallic strips [14], as they are compatible with printed circuit boards (PCBs) integrated technologies.Since propagating localized were experimentally realized PCBs 2013 2014 [14, 15], this area flourishes prospective applications emerging circuits, sensing, wireless communications [16]. Roadmap Organization AimIn Roadmap, leading experts various significant branches metamaterials metasurfaces present comprehensive overviews these anticipate their trends.The key areas research technology addressed roadmap include: 1. Effective medium metamaterials: In Section 2, Luo Lai firstly introduce effective theories for non-Hermitian 2.1.Wang, Lin, Chen review refraction 2.2; while Wu discuss perfect lens superlens based on 2.3.Then 2.4, Yin, Zhao, investigate advances transformation optics, which provides precise control EM fields an engineered physical space.In 2.5, Wegener introduces challenges recent three-dimensional metamaterials.In 2.6, Li, Zhou, Engheta extreme parameters, especially epsilon-near-zero (ENZ) that have exhibited potential applications.In 2.7, Asadchy, Simovski, Tretyakov chiral bianisotropic 2.8, Yang Zhang photonic topological metamaterials. Metasurfaces -Physics applications:In 3, Sun Zhou light-bending both transmission reflection configurations generalized Snell's law 3.1.In 3.2, Xu impact advanced fabrication technologies high-performance metasurfaces.Then 3.3, complexamplitude metasurfaces, been widely investigated beam forming, Airy Beam generation, meta-holograms.In 3.4, et al. metasurface-assisted polarization a new platform develop devices micrometer-scale footprint unusual functionality.The real application advantages metalens reviewed by Li Zhu 3.5.Zhou describe multi-functional edge imaging 3.6.In 3.7, holographic imaging, offer excellent tool realize 3.8, Xiao discusses active tuning functions after fabrication, highly desirable promising platforms 6G communications, remote radar 3.9, Liu focus introducing metasurface biosensors.In 3.10, geometric phase-controlled nonlinear Tang al., exhibiting great flexibilities controlling phase, polarization, amplitude generated waves.In 3.11, Koshelev Kivshar provide brief summary some observed effects metasurfaces.In 3.12, can act novel demonstrate marvelous effects.In 3.13, Wang, Tsai, overview applied quantum technologies, provided wide variety source state manipulation, information processing, quantumA c e p t d M n u s r i metasurface, i.e., reconfigurable intelligent surfaces massive MIMO transceivers, sensing. Concluding RemarksFrom roadmap, we glad see big progresses achieved ranging optics microwaves.After decades fast developments, not only EM-wave manipulations, but bring out disciplines sciences communication technologies.The future looks bright, there exciting opportunities ahead fundamental engineering applications.

Language: Английский

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The rise of electrically tunable metasurfaces

Science Advances, Journal Year: 2024, Volume and Issue: 10(34)

Published: Aug. 23, 2024

Metasurfaces, which offer a diverse range of functionalities in remarkably compact size, have captured the interest both scientific and industrial sectors. However, their inherent static nature limits adaptability for further applications. Reconfigurable metasurfaces emerged as solution to this challenge, expanding potential Among series tunable devices, electrically controllable devices garnered particular attention owing seamless integration with existing electronic equipment. This review presents recent progress reported respect providing an overview technological development trajectory current state art. In particular, we analyze major tuning strategies discuss applications spatial light modulators, optical waveguides, adaptable emissivity regulators. Furthermore, challenges opportunities associated implementation are explored, thereby highlighting bridge gap between electronics photonics enable groundbreaking systems.

Language: Английский

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Orbital angular momentum-mediated machine learning for high-accuracy mode-feature encoding

Light Science & Applications, Journal Year: 2024, Volume and Issue: 13(1)

Published: Feb. 14, 2024

Machine learning with optical neural networks has featured unique advantages of the information processing including high speed, ultrawide bandwidths and low energy consumption because dimensions (time, space, wavelength, polarization) could be utilized to increase degree freedom. However, due lack capability extract features in orbital angular momentum (OAM) domain, theoretically unlimited OAM states have never been exploited represent signal input/output nodes network model. Here, we demonstrate OAM-mediated machine an all-optical convolutional (CNN) based on Laguerre-Gaussian (LG) beam modes diverse diffraction losses. The proposed CNN architecture is composed a trainable mode-dispersion impulse as kernel for feature extraction, deep-learning diffractive layers classifier. resultant selectivity can applied mode-feature encoding, leading accuracy 97.2% MNIST database through detecting weighting coefficients encoded modes, well resistance eavesdropping point-to-point free-space transmission. Moreover, extending target into multiplexed states, realize dimension reduction anomaly detection 85%. Our work provides deep insight mechanism spatial basis, which further improve performances various machine-vision tasks by constructing unsupervised learning-based auto-encoder.

Language: Английский

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Advancing perovskite solar cell commercialization: Bridging materials, vacuum deposition, and AI-assisted automation

Next Materials, Journal Year: 2024, Volume and Issue: 3, P. 100103 - 100103

Published: Jan. 9, 2024

Organic-inorganic metal halide perovskites solar cells (PSCs) have been emerging as a counterpart or supplement of silicon-based cells. They shown various interesting optoelectronic properties and impressive power conversion efficiencies, even outperforming the theoretical limits in tandem configurations. However, challenges such long-term stability scalable manufacturing remain significant obstacles to commercialization. Key factors like material composition crystal quality are essential for reliability performance PSCs. Traditional solution-based processes face scalability reproducibility. This has drawn attention vacuum processes, which successfully employed commercial mass production devices displays. Also, recent innovations automated deposition systems aided by machine learning offer promising solutions. These technological advancements enable rapid optimization combinations facilitating transition from lab-scale prototypes industrial applications. review highlights converging efforts multiple disciplines—materials science, process engineering learning—that experimental validation commercial, sustainable energy In summary, work sets path forward, where collective expertize can address lingering challenges, making clean, accessible, affordable an attainable goal.

Language: Английский

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Photodetectors based on two-dimensional MoS2 and its assembled heterostructures

Chip, Journal Year: 2022, Volume and Issue: 1(3), P. 100017 - 100017

Published: June 26, 2022

Photodetectors are finding various potential applications in sensing and detection, information communication, light-emitting diode, optical modulators, ultrafast laser, etc. Molybdenum disulfide (MoS2) has sparked great interest given its unique crystal phase, flexible preparation, structural stability, regulable photoelectronic features. Therefore, the MoS2-based photodetector is demonstrated to be an excellent device fabrication platform explore underlying sensitive broadband high-speed response, low-power consumption, two-dimensional integrated circuit, synergetic mechanism, which also proved candidate for next-generation optoelectronics. This review summarizes structural, optical, transport features of MoS2. Then working mechanisms figures merit explored MoS2 detector. Further, detector modulation strategies introduced detail about layer-number engineering chemical doping engineering. Afterward, recent heterostructure assembling (MoS2/nD, n=0,1,2,3) architectures classified based on van der Waals assembling. Finally, future direction photodetectors discussed, can delivered as a feasible guideline circuit fields.

Language: Английский

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Information metasurfaces and intelligent metasurfaces

Photonics Insights, Journal Year: 2022, Volume and Issue: 1(1), P. R01 - R01

Published: Jan. 1, 2022

Metamaterials and metasurfaces have inspired worldwide interest in the recent two decades due to their extraordinary performance controlling material parameters electromagnetic properties. However, most studies on metamaterials are focused manipulations of fields waves, because analog natures. The concepts digital coding programmable proposed 2014 opened a new perspective characterize design way, made it possible control fields/waves process information simultaneously, yielding birth direction metasurfaces. On other hand, artificial intelligence (AI) has become more important automatic designs In this review paper, we first show intrinsic natures advantages metasurfaces, including operations, real-time capabilities, space–time-coding strategies. Then introduce advances designing using AI technologies, particularly discuss close combinations generate intelligent We present self-adaptively smart AI-based imagers, microwave cameras, machines based optical neural networks. Finally, indicate challenges, applications, future directions

Language: Английский

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Self-healing of structured light: a review

Journal of Optics, Journal Year: 2022, Volume and Issue: 24(10), P. 103001 - 103001

Published: Aug. 10, 2022

Self-healing of light refers to the ability a field recover its structure after being damaged by partial obstruction placed in propagation path. Here, we will give comprehensive review history and development self-healing effects, especially highlighting importance vector vortex beams carrying spin orbital angular momenta. Moreover, an unified zoology self-healing, structured is proposed unveil deeper understanding physical mechanism provide bird's eye view on diverse forms effects different kinds complex light. Finally, outline open challenges are facing, potential opportunities future trends for both fundamental physics applications.

Language: Английский

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