PlumX Metrics
Embed PlumX Metrics

Surface roughness in finite-element meshes: application to plasmonic nanostructures

Journal of the Optical Society of America B: Optical Physics, ISSN: 1520-8540, Vol: 40, Issue: 3, Page: B1-B7
2023
  • 4
    Citations
  • 0
    Usage
  • 2
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

Article Description

Photonic and plasmonic nanostructures almost unavoidably exhibit some degree of surface roughness for which the details depend on the fabrication process. A corresponding quantitative modeling thus requires the separation of numerical errors from the effects of roughness as well as the systematic construction of rough surfaces with prescribed properties. Here, we present a practical approach for constructing meshes of general rough surfaces with given autocorrelation functions based on the unstructured meshes of nominally smooth surfaces. The approach builds on a well-known method to construct correlated random numbers from white noise using a decomposition of the autocorrelation matrix. We discuss important details pertaining to the application of the approach for modeling of surface roughness and provide a corresponding software implementation. As an example application, we demonstrate the impact of surface roughness on the resonance frequencies and quality factors of a plasmonic nano-sphere dimer using an open-source boundary finite-element Maxwell solver. The approach can be utilized within a broad range of numerical methods to analyze the effects of surface roughness in various fields of science and engineering.

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know