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Parallel wave-based analog computing using metagratings

Rajabalipanah Hamid et al · Wiley · 2022

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3-D near-field imaging of guided modes in nanophotonic waveguides

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Wave-based signal processing has witnessed a significant expansion of interest in a variety of science and engineering disciplines, as it provides new opportunities for achieving high-speed and low-power operations. Although flat optics desires integrable components to perform multiple missions, yet, the current wave-based computational metasurfaces can engineer only the spatial content of the input signal where the processed signal obeys the traditional version of Snell’s law. In this paper, we propose a multi-functional metagrating to modulate both spatial and angular properties of the input signal whereby both symmetric and asymmetric optical transfer functions are realized using high-order space harmonics. The performance of the designed compound metallic grating is validated through several investigations where closed-form expressions are suggested to extract the phase and amplitude information of the diffractive modes. Several illustrative examples are demonstrated to show that the proposed metagrating allows for simultaneous parallel analog computing tasks such as first- and second-order spatial differentiation through a single multichannel structured surface. It is anticipated that the designed platform brings a new twist to the field of optical signal processing and opens up large perspectives for simple integrated image processing systems.

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APA 7

al, R. H. E. (2022). Parallel wave-based analog computing using metagratings. https://doi.org/10.1515/nanoph-2021-0710

MLA

al, Rajabalipanah Hamid et. "Parallel wave-based analog computing using metagratings." 2022. https://doi.org/10.1515/nanoph-2021-0710.

Chicago

al, Rajabalipanah Hamid et. 2022. "Parallel wave-based analog computing using metagratings.". https://doi.org/10.1515/nanoph-2021-0710.

Harvard

al, R. H. E. 2022, Parallel wave-based analog computing using metagratings, Wiley, available at: https://doi.org/10.1515/nanoph-2021-0710 [Accessed 7 Aug. 2026].

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Title
Parallel wave-based analog computing using metagratings
Author / contributors
Rajabalipanah Hamid et al
Publisher
Wiley
Publication year
2022
ISSN
2192-8614
ISSN
2192-8614
Language
English

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