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Ultracompact Photonic Structure Design for Strong Light Confinement and Coupling Into Nanowaveguide

Show simple item record Turduev, Mirbek Bor, Emre Latifoğlu, Çağrı Giden, İbrahim Halil Hanay, Y. Sinan Kurt, Hamza 2019-03-20T11:16:22Z 2019-03-20T11:16:22Z 2018-07-15
dc.identifier.citation Turduev, M., Bor, E., Latifoglu, C., Giden, I. H., Hanay, Y. S., & Kurt, H. (2018). Ultracompact Photonic Structure Design for Strong Light Confinement and Coupling Into Nanowaveguide. Journal of Lightwave Technology, 36(14), 2812-2819. en_US
dc.description.abstract Different optimization algorithms have recently been utilized to design and improve the performance of many nanophotonic structures. We present the design of a compact photonic structure by an approach based on machine learning. Three-dimensional finite-difference time-domain method is integrated with a machine learning algorithm in order to design a photonic structure. In particular, a subwavelength focusing lens structure that operates at telecom wavelengths is designed to have desired beam properties such as subwavelength full-width at half-maximum value of 0.155 λ and suppressed side-lobe levels at focal point, where λ denotes the wavelength of incident light and equals to 1550 nm. The designed compact lens structure has the footprint of 2 × 1 μ m2 with a slab thickness of 280 nm, which is the smallest photonic lens for subwavelength focusing of light to date comparing to its conventional ones. The focusing mechanism of designed lens structure is explained with the help of applying discrete Fourier transform to the two-dimensional dielectric distribution of the structure. It is also shown that, due to its strong light confinement property, the designed lens structure can be used as a waveguide-to-waveguide optical coupling device with a beamwidth compression ratio of 10:1 by integrating a nanowaveguide with the width of 200 nm to the output surface of lens structure. Normalized transmission efficiency of the optical coupling device is calculated as high as 0.62 at the wavelength of 1550 nm. The outcomes of the presented study show that machine learning can be beneficial for designing efficient compact photonic structures. en_US
dc.description.sponsorship National Council for Scientific Research[116F182]
dc.language.iso eng en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.isversionof 10.1109/JLT.2018.2821361
dc.rights info:eu-repo/semantics/closedAccess
dc.subject Lenses en_US
dc.subject Machine learning algorithms en_US
dc.subject Nanophotonics en_US
dc.subject Photonic integrated circuits en_US
dc.title Ultracompact Photonic Structure Design for Strong Light Confinement and Coupling Into Nanowaveguide en_US
dc.type article
dc.relation.journal Journal of Lightwave Technology
dc.contributor.department TOBB ETU, Faculty of Engineering, Department of Material Science & Nanotechnology Engineering
dc.identifier.volume 36
dc.identifier.issue 14
dc.identifier.startpage 2812
dc.identifier.endpage 2819
dc.identifier.wos WOS:000435177900001
dc.identifier.scopus 2-s2.0-85044736831
dc.contributor.tobbetuauthor Kurt, Hamza
dc.contributor.YOKid 200103
dc.identifier.doi 10.1109/JLT.2018.2821361
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı

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