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    Metrology System Based on Metasurface Implementation of Artificial Inteligence

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    Type
    Presentation
    Authors
    Burguete-Lopez, A. cc
    Makarenko, Maksim cc
    Wang, Qizhou
    Getman, Fedor
    Fratalocchi, Andrea cc
    KAUST Department
    King Abdullah University of Science and Technology,PRIMALIGHT, Faculty of Electrical Engineering; Applied Mathematics and Computational Science,Thuwal,Saudi Arabia,23955-6900
    Electrical and Computer Engineering Program
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Applied Mathematics and Computational Science Program
    Date
    2023-06-26
    Permanent link to this record
    http://hdl.handle.net/10754/694223
    
    Metadata
    Show full item record
    Abstract
    Optical instrumentation is ubiquitous across scientific disciplines and industrial settings for its ability to deliver non-destructive and high accuracy mesurements [1]. However, as global manufacturing transitions an automated industry paradigm, the need for highly integrated metrology systems for autonomous machines cannot be addressed traditional bulk optics based equipment [2]. Metasurfaces provide a possible solution to this challenge, enabling near-arbitrary light control functionality in a compact form factor [3]–[5].
    Citation
    Burguete-Lopez, A., Makarenko, M., Wang, Q., Getman, F., & Fratalocchi, A. (2023). Metrology System Based on Metasurface Implementation of Artificial Inteligence. 2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC). https://doi.org/10.1109/cleo/europe-eqec57999.2023.10231970
    Publisher
    IEEE
    Conference/Event name
    2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC)
    DOI
    10.1109/cleo/europe-eqec57999.2023.10231970
    Additional Links
    https://ieeexplore.ieee.org/document/10231970/
    ae974a485f413a2113503eed53cd6c53
    10.1109/cleo/europe-eqec57999.2023.10231970
    Scopus Count
    Collections
    Applied Mathematics and Computational Science Program; PRIMALIGHT Research Group; Electrical and Computer Engineering Program; Presentations; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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