Zydrunas Gimbutas

NA
3papers
80citations
AI Score11

3 Papers

NAApr 28, 2011
Fast multi-particle scattering: a hybrid solver for the Maxwell equations in microstructured materials

Zydrunas Gimbutas, Leslie Greengard

A variety of problems in device and materials design require the rapid forward modeling of Maxwell's equations in complex micro-structured materials. By combining high-order accurate integral equation methods with classical multiple scattering theory, we have created an effective simulation tool for materials consisting of an isotropic background in which are dispersed a large number of micro- or nano-scale metallic or dielectric inclusions.

CLASS-PHMar 18, 2012
A consistency condition for the vector potential in multiply-connected domains

Charles L. Epstein, Zydrunas Gimbutas, Leslie Greengard et al.

A classical problem in electromagnetics concerns the representation of the electric and magnetic fields in the low-frequency or static regime, where topology plays a fundamental role. For multiply connected conductors, at zero frequency the standard boundary conditions on the tangential components of the magnetic field do not uniquely determine the vector potential. We describe a (gauge-invariant) consistency condition that overcomes this non-uniqueness and resolves a longstanding difficulty in inverting the magnetic field integral equation.

NASep 28, 2016
A Fast Summation Method for Oscillatory Lattice Sums

Ryan Denlinger, Zydrunas Gimbutas, Leslie Greengard et al.

We present a fast summation method for lattice sums of the type which arise when solving wave scattering problems with periodic boundary conditions. While there are a variety of effective algorithms in the literature for such calculations, the approach presented here is new and leads to a rigorous analysis of Wood's anomalies. These arise when illuminating a grating at specific combinations of the angle of incidence and the frequency of the wave, for which the lattice sums diverge. They were discovered by Wood in 1902 as singularities in the spectral response. The primary tools in our approach are the Euler-Maclaurin formula and a steepest descent argument. The resulting algorithm has super-algebraic convergence and requires only milliseconds of CPU time.