Literature DB >> 26368483

Accurate adjoint design sensitivities for nano metal optics.

Paul Hansen, Lambertus Hesselink.   

Abstract

We present a method for obtaining accurate numerical design sensitivities for metal-optical nanostructures. Adjoint design sensitivity analysis, long used in fluid mechanics and mechanical engineering for both optimization and structural analysis, is beginning to be used for nano-optics design, but it fails for sharp-cornered metal structures because the numerical error in electromagnetic simulations of metal structures is highest at sharp corners. These locations feature strong field enhancement and contribute strongly to design sensitivities. By using high-accuracy FEM calculations and rounding sharp features to a finite radius of curvature we obtain highly-accurate design sensitivities for 3D metal devices. To provide a bridge to the existing literature on adjoint methods in other fields, we derive the sensitivity equations for Maxwell's equations in the PDE framework widely used in fluid mechanics.

Entities:  

Year:  2015        PMID: 26368483     DOI: 10.1364/OE.23.023899

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  3 in total

1.  Ultrafast perturbation maps as a quantitative tool for testing of multi-port photonic devices.

Authors:  Kevin Vynck; Nicholas J Dinsdale; Bigeng Chen; Roman Bruck; Ali Z Khokhar; Scott A Reynolds; Lee Crudgington; David J Thomson; Graham T Reed; Philippe Lalanne; Otto L Muskens
Journal:  Nat Commun       Date:  2018-06-08       Impact factor: 14.919

2.  Controlling three-dimensional optical fields via inverse Mie scattering.

Authors:  Alan Zhan; Ricky Gibson; James Whitehead; Evan Smith; Joshua R Hendrickson; Arka Majumdar
Journal:  Sci Adv       Date:  2019-10-04       Impact factor: 14.136

3.  Inverse Design Tool for Ion Optical Devices using the Adjoint Variable Method.

Authors:  Lars Thorben Neustock; Paul C Hansen; Zachary E Russell; Lambertus Hesselink
Journal:  Sci Rep       Date:  2019-07-30       Impact factor: 4.379

  3 in total

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