Achromatic Metalens over 60 nm Bandwidth in the Visible

Shi, Zhujun; Khorasaninejad, Mohammadreza; Zhu, Aijiao; Chen, W. T.; Sanjeev, Vyshakh; Zaidi, Aun; Capasso, Federico

doi:10.1364/cleo_qels.2017.fm1h.2

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…The great advantages of meta-devices are their new properties, compact size, lighter weight, high efficiency, better performance, broadband operation, lower energy consumption, data volume reduction, and CMOS compatibility for mass production. Optical meta-devices have been well-developed for beam shaping, , anomalous deflection and reflection, ,, polarization control and analysis, − holographic images, − nonlinear effects, ,− lasing, , tunability, − color display, − light focusing, − imaging, ,,− image processing, beam shaping, multiplex color routing, sensing, ,− encryption, , spectrometry, optical characterization, , communication, , augmented reality, , and quantum technology. , …”

Section: Meta-optics and Artificial Intelligencementioning

confidence: 99%

Artificial Intelligence in Meta-optics

et al. 2022

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Recent years have witnessed promising artificial intelligence (AI) applications in many disciplines, including optics, engineering, medicine, economics, and education. In particular, the synergy of AI and meta-optics has greatly benefited both fields. Meta-optics are advanced flat optics with novel functions and light-manipulation abilities. The optical properties can be engineered with a unique design to meet various optical demands. This review offers comprehensive coverage of meta-optics and artificial intelligence in synergy. After providing an overview of AI and meta-optics, we categorize and discuss the recent developments integrated by these two topics, namely AI for meta-optics and meta-optics for AI. The former describes how to apply AI to the research of meta-optics for design, simulation, optical information analysis, and application. The latter reports the development of the optical Al system and computation via meta-optics. This review will also provide an in-depth discussion of the challenges of this interdisciplinary field and indicate future directions. We expect that this review will inspire researchers in these fields and benefit the next generation of intelligent optical device design.

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Section: Meta-optics and Artificial Intelligencementioning

confidence: 99%

Artificial Intelligence in Meta-optics

et al. 2022

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Smart Agent System for Cyber Nano-Manufacturing in Industry 4.0

et al. 2022

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The development of Cyber-Physical Systems (CPS) and the Internet of Things (IoT) has influenced Cyber-Physical Manufacturing Systems (CPMS). Collaborative manufacturing among organizations with geographically distributed operations using Nanomanufacturing (NM) requires integrated networking for enhanced productivity. The present research provides a unique cyber nanomanufacturing framework by combining digital design with various artificial neural networks (ANN) approaches to predict the optimal nano/micro-manufacturing process. It enables the visualization tool for real-time allocation of nano/micro-manufacturing resources to simulate machine availability for five types of NM processes in real-time for a dynamic machine identification system. This research establishes a foundation for a smart agent system with predictive capabilities for cyber nanomanufacturing in real-time.

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Achromatic Metalens over 60 nm Bandwidth in the Visible

Cited by 2 publications

References 5 publications

Artificial Intelligence in Meta-optics

Artificial Intelligence in Meta-optics

Smart Agent System for Cyber Nano-Manufacturing in Industry 4.0

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