Nonparametric design of nanoparticles with maximum scattering using evolutionary topology optimization

Mine Kaya, Shima Hajimirza

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The interaction between light and subwavelength structures provides tailorable optical properties that can be useful in many engineering applications. These properties strongly depend on the material shape, which provides obtaining unique scattering characteristics when rigorously designed. However, the conventional design methods require precise modeling and characterization of the shapes of the scattering objects, thus requiring a lot of intuition and knowledge about light radiation at small scales, as well as many rounds of experimental trial and error. We propose a framework to discover new nanoparticle designs for improved scattering based on topology optimization. The framework allows us to maximize the scattering cross section of the particle domain. Increased scattering cross-section at nanoscale leads to improved light trapping, which is critical in many applications such as thin film solar cells and biological imaging. Topology optimization offers a knowledge independent design procedure, therefore revealing relationships between specific regions in the design domain and the light behavior for maximum scattering cross section.

Original languageEnglish
Article number120738
JournalInternational Journal of Heat and Mass Transfer
Volume166
DOIs
StatePublished - Feb 2021

Keywords

  • Light scattering
  • Nanoparticles
  • Scattering cross section
  • Topology optimization

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