VoxHenry: FFT-Accelerated Inductance Extraction for Voxelized Geometries

Handle URI:
http://hdl.handle.net/10754/626991
Title:
VoxHenry: FFT-Accelerated Inductance Extraction for Voxelized Geometries
Authors:
Yucel, Abdulkadir C. ( 0000-0001-9920-4043 ) ; Georgakis, Ioannis P.; Polimeridis, Athanasios G.; Bagci, Hakan ( 0000-0003-3867-5786 ) ; White, Jacob K.
Abstract:
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).
KAUST Department:
Computer, 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
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.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Microwave Theory and Techniques
Issue Date:
18-Jan-2018
DOI:
10.1109/tmtt.2017.2785842
Type:
Article
ISSN:
0018-9480; 1557-9670
Sponsors:
Skoltech as part of the Skoltech-MIT Next Generation Program
Additional Links:
http://ieeexplore.ieee.org/document/8263410/
Appears in Collections:
Articles; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorYucel, Abdulkadir C.en
dc.contributor.authorGeorgakis, Ioannis P.en
dc.contributor.authorPolimeridis, Athanasios G.en
dc.contributor.authorBagci, Hakanen
dc.contributor.authorWhite, Jacob K.en
dc.date.accessioned2018-02-01T07:25:02Z-
dc.date.available2018-02-01T07:25:02Z-
dc.date.issued2018-01-18en
dc.identifier.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.en
dc.identifier.issn0018-9480en
dc.identifier.issn1557-9670en
dc.identifier.doi10.1109/tmtt.2017.2785842en
dc.identifier.urihttp://hdl.handle.net/10754/626991-
dc.description.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).en
dc.description.sponsorshipSkoltech as part of the Skoltech-MIT Next Generation Programen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/document/8263410/en
dc.subjectFast Fourier transform (FFT)en
dc.subjectFastHenryen
dc.subjectinductance extractionen
dc.subjectmagneto-quasistatic analysisen
dc.subjectparasitic extractionen
dc.subjectpartial element equivalent circuiten
dc.subjectvolume integral equation (VIE)en
dc.subjectvoxelized geometriesen
dc.titleVoxHenry: FFT-Accelerated Inductance Extraction for Voxelized Geometriesen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentDivision of Computer, Electrical, and Mathematical Science and Engineering, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabiaen
dc.identifier.journalIEEE Transactions on Microwave Theory and Techniquesen
dc.contributor.institutionDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139 USAen
dc.contributor.institutionCenter for Computational Data-Intensive Science and Engineering, Skolkovo Institute of Science and Technology, Moscow 143026, Russia.en
kaust.authorYucel, Abdulkadir C.en
kaust.authorBagci, Hakanen
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