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  • Unit cell topology optimization of line defect photonic crystal waveguide

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    100322_1.pdf (332.6Kb)
    Author(s)
    Saremi, Shahrzad
    Mirjalili, Seyed Mohammad
    Mirjalili, Seyedali
    Griffith University Author(s)
    Mirjalili, Seyedali
    Saremi, Shahrzad
    Year published
    2014
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    Abstract
    In this paper we utilize a systematic method to optimize the topology of a line defect Photonic Crystal Wave guide (PCW), a very popular and effective optical device for realizing optical buffer in room temperate operation. In order to do this, we divide the unit cell PCW to 25 squares and utilize a Binary Particle Swarm Optimization (BPSO) algorithm to find the optimum topology. During the optimization process, we apply some constraints to avoid band mixing as well. Calculation results show that Normalized Delay-Bandwidth Product (NDBP) for the structure optimized is 0.27. This structure optimized possesses a high bandwidth ...
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    In this paper we utilize a systematic method to optimize the topology of a line defect Photonic Crystal Wave guide (PCW), a very popular and effective optical device for realizing optical buffer in room temperate operation. In order to do this, we divide the unit cell PCW to 25 squares and utilize a Binary Particle Swarm Optimization (BPSO) algorithm to find the optimum topology. During the optimization process, we apply some constraints to avoid band mixing as well. Calculation results show that Normalized Delay-Bandwidth Product (NDBP) for the structure optimized is 0.27. This structure optimized possesses a high bandwidth (20.9 nm) with group index of 21.7 as well.
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    Journal Title
    Procedia Technology
    Volume
    12
    DOI
    https://doi.org/10.1016/j.protcy.2013.12.472
    Copyright Statement
    © The Author(s) 2014. Published by Elsevier Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) License (http://creativecommons.org/licenses/by-nc-nd/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited. You may not alter, transform, or build upon this work.
    Subject
    Neural, Evolutionary and Fuzzy Computation
    Publication URI
    http://hdl.handle.net/10072/66163
    Collection
    • Journal articles

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