Hoppa till sidans huvudinnehåll

Numerical Methods for Modeling Metasurface with GSTC

  • Nyhet

Inbunden, Engelska, 2026

AvQiang Ren,Kaiming Wu,Na Liu,Guoxiong Cai

1 979 kr

Kommande


Introduction to current modeling methods for electromagnetic metasurfaces using the generalized sheet transition condition Numerical Methods for Modeling Metasurface with GSTC provides a systemic and deep monograph of numerical modeling approaches for metasurfaces and thoroughly explores various numerical methods, encompassing not only those in the frequency domain, but also those in the time domain that incorporate generalized sheet transition conditions (GSTCs). It then introduces the mainstream full-wave computational electromagnetic method, including finite-difference frequency-domain method (FDFD), method of moments (MoM), finite element method (FEM), spectral element method (SEM), finite-difference time-domain method (FDTD), and discontinue Galerkin time-domain method (DGTD). And the incorporation of GSTC with these numerical methods. Well-designed examples show that the GSTC equivalence is a quick and accurate tool for metasurface analysis. Written by a team of highly qualified authors, Numerical Methods for Modeling Metasurface with GSTC also includes information on: The basics of metasurfaces, the GSTC technique, and computational electromagnetics methodsMetasurfaces modeling, covering media homogenization techniques, GSTC theory, and the susceptibility synthesis methodMethods to simulate steady or transient responses of both planar and curved metasurfacesNumerical Methods for Modeling Metasurface with GSTC is an essential up-to-date reference on the subject for academic researchers and engineers in electromagnetics, optics, and applied physics and graduate and senior undergraduate students in related programs of study.

Produktinformation

  • Utgivningsdatum2026-09-15
  • FormatInbunden
  • SpråkEngelska
  • Antal sidor272
  • FörlagJohn Wiley & Sons Inc
  • ISBN9781394244294
Hoppa över listan

Du kanske också är intresserad av