Multi-material design optimization of optical properties of particulate products by discrete dipole approximation and sequential global programming

The optimal design of nanoparticles with respect to their optical properties is one of the main foci within nanoparticle technology. In this contribution, we suggest a new design optimization method in the framework of which the discrete dipole approximation (DDA) is used to approximate the solution...

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Veröffentlicht in:Structural and multidisciplinary optimization Jg. 66; H. 1; S. 5
Hauptverfasser: Nees, Nico, Pflug, Lukas, Mann, Benjamin, Stingl, Michael
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2023
Springer Nature B.V
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ISSN:1615-147X, 1615-1488
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Abstract The optimal design of nanoparticles with respect to their optical properties is one of the main foci within nanoparticle technology. In this contribution, we suggest a new design optimization method in the framework of which the discrete dipole approximation (DDA) is used to approximate the solution of Maxwell’s equation in time-harmonic form. In the core of the optimization method, each dipole is repeatedly assigned a material property from a given material catalog until a local minimum for the chosen design objective is obtained. The design updates are computed using a separable model of the optimization objective, which can be solved to global optimality, giving rise to a sequential global optimization (SGP) algorithm. We suggest different types of separable models, among them exact separable models as well as tight approximations of the latter which are numerically tractable. The application of the DDA method in the framework of structural design methods widens the spectrum of numerically tractable layout problems in optical applications as, compared to finite element based approaches, significantly more complex design spaces can be investigated.
AbstractList The optimal design of nanoparticles with respect to their optical properties is one of the main foci within nanoparticle technology. In this contribution, we suggest a new design optimization method in the framework of which the discrete dipole approximation (DDA) is used to approximate the solution of Maxwell’s equation in time-harmonic form. In the core of the optimization method, each dipole is repeatedly assigned a material property from a given material catalog until a local minimum for the chosen design objective is obtained. The design updates are computed using a separable model of the optimization objective, which can be solved to global optimality, giving rise to a sequential global optimization (SGP) algorithm. We suggest different types of separable models, among them exact separable models as well as tight approximations of the latter which are numerically tractable. The application of the DDA method in the framework of structural design methods widens the spectrum of numerically tractable layout problems in optical applications as, compared to finite element based approaches, significantly more complex design spaces can be investigated.
ArticleNumber 5
Author Nees, Nico
Pflug, Lukas
Mann, Benjamin
Stingl, Michael
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  orcidid: 0000-0002-2018-5853
  surname: Nees
  fullname: Nees, Nico
  email: nico.nees@fau.de
  organization: Chair of Applied Mathematics (Continuous Optimization), Department of Mathematics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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  givenname: Lukas
  surname: Pflug
  fullname: Pflug, Lukas
  organization: Chair of Applied Mathematics (Continuous Optimization), Department of Mathematics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Competence Unit for Scientific Computing (CSC), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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  givenname: Benjamin
  surname: Mann
  fullname: Mann, Benjamin
  organization: Competence Unit for Scientific Computing (CSC), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Chair of Computer Science 10 (System Simulation), Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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  givenname: Michael
  surname: Stingl
  fullname: Stingl, Michael
  organization: Chair of Applied Mathematics (Continuous Optimization), Department of Mathematics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Competence Unit for Scientific Computing (CSC), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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Keywords Topology optimization
Sequential global programming
Discrete dipole approximation
Material optimization
Language English
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Snippet The optimal design of nanoparticles with respect to their optical properties is one of the main foci within nanoparticle technology. In this contribution, we...
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SubjectTerms Algorithms
Approximation
Computational Mathematics and Numerical Analysis
Design optimization
Dipoles
Engineering
Engineering Design
Global optimization
Material properties
Mathematical analysis
Mathematical models
Nanoparticles
Optical properties
Research Paper
Structural design
Theoretical and Applied Mechanics
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  providerName: ProQuest
Title Multi-material design optimization of optical properties of particulate products by discrete dipole approximation and sequential global programming
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Volume 66
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