VoxHenry: FFT-Accelerated Inductance Extraction for Voxelized Geometries
Type
ArticleAuthors
Yucel, Abdulkadir C.
Georgakis, Ioannis P.
Polimeridis, Athanasios G.
Bagci, Hakan

White, Jacob K.
KAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering Program
Date
2018-01-18Online Publication Date
2018-01-18Print Publication Date
2018-04Permanent link to this record
http://hdl.handle.net/10754/626991
Metadata
Show full item recordAbstract
VoxHenry, 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).Citation
Yucel 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.Sponsors
Skoltech as part of the Skoltech-MIT Next Generation ProgramAdditional Links
http://ieeexplore.ieee.org/document/8263410/ae974a485f413a2113503eed53cd6c53
10.1109/tmtt.2017.2785842