Mini-Max-Optimized Semi-analytical (MiMOSA) Approximation of Convoluted Susceptibility

Ludmila J. Prokopeva, Wallace Jaffray, Sarah Chowdhury, Karthik Pagadala, Marcello Ferrera, Alexander V. Kildishev

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We present a Mini-Max-Optimized Semi-analytical Approximation (MiMOSA) method to efficiently model the convolution type of dispersion in time-domain electromagnetic and multiphysics solvers. The method is based on an efficient (only 2 or 3 poles) and accurate minimax rational approximation. We discuss a representative case for this material dispersion class - disordered materials exhibiting inhomogeneous broadening with Voight absorption profiles. Accurate experimental-based modeling of disordered materials in the time domain was unavailable, and MiMOSA approximations fill this gap.
Original languageEnglish
Title of host publication2023 International Applied Computational Electromagnetics Society Symposium (ACES)
ISBN (Electronic)9781733509633
Publication statusPublished - 9 May 2023


  • Gaussian absorption
  • Lorentz-Gaussian convolution
  • Voight lineshape
  • finite difference time domain
  • generalized dispersive material (GDM)
  • inhomogeneous broadening
  • material dispersion
  • minimax optimization

ASJC Scopus subject areas

  • Computational Mathematics
  • Instrumentation
  • Radiation
  • Computer Networks and Communications
  • Signal Processing


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