VoxHenry: FFT-Accelerated Inductance Extraction for Voxelized Geometries
AuthorsYucel, Abdulkadir C.
Georgakis, Ioannis P.
Polimeridis, Athanasios G.
White, Jacob K.
KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Division of Computer, Electrical, and Mathematical Science and Engineering, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
Permanent link to this recordhttp://hdl.handle.net/10754/626991
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AbstractVoxHenry, a fast Fourier transform (FFT)-accelerated integral-equation-based simulator for extracting frequency-dependent inductances and resistances of structures discretized by voxels, is presented. VoxHenry shares many features with the popular inductance extractor, FastHenry. Just like FastHenry, VoxHenry solves a combination of the electric volume integral equation and the current continuity equation, but with three distinctions that make VoxHenry suitable and extremely efficient for analyzing voxelized geometries: 1) it leverages a carefully selected set of piecewise-constant and piecewise-linear basis functions; 2) it exploits FFTs to accelerate the matrix-vector multiplications during the iterative solution of system of equations; and 3) it employs a sparse preconditioner to ensure the rapid convergence of iterative solution. VoxHenry is capable of accurately computing frequency-dependent inductances and resistances of arbitrarily shaped and large-scale structures on a desktop computer. The accuracy, efficiency, and applicability of VoxHenry are demonstrated through inductance analysis of various structures, including square and circular coils as well as arrays of RF inductors (situated over ground planes).
CitationYucel AC, Georgakis IP, Polimeridis AG, Bagci H, White JK (2018) VoxHenry: FFT-Accelerated Inductance Extraction for Voxelized Geometries. IEEE Transactions on Microwave Theory and Techniques: 1–13. Available: http://dx.doi.org/10.1109/tmtt.2017.2785842.
SponsorsSkoltech as part of the Skoltech-MIT Next Generation Program