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R. Wenzel

dblp:29/268 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation › interconnect modeling
inductance extraction
0.112009
Inductance Extraction for Interconnects in the Presence of Nonlinear Magnetic Materials · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2009
Electronic design automation
interconnect modeling
0.112009
Inductance Extraction for Interconnects in the Presence of Nonlinear Magnetic Materials · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2009
Electronic design automation › physical design
parasitic extraction
0.112009
Inductance Extraction for Interconnects in the Presence of Nonlinear Magnetic Materials · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2009

Methods — techniques the papers use, named apart from their topics

solenoidal basis · 0.1landau-lifshitz-gilbert equation · 0.1fictitious magnetic charge · 0.1
YearPublicationVenuePosition
2009 Inductance Extraction for Interconnects in the Presence of Nonlinear Magnetic Materials
abstract
The existence of nonlinear magnetic materials poses a challenge to the interconnect inductance extraction for circuits in micromotors, radio-frequency identification, and magnetoresistive random access memory. In this paper, we present a fast algorithm to extract inductance in the presence of nonlinear magnetic materials. The new algorithm models the nonlinear magnetic characteristics by solving the Landau-Lifshitz-Gilbert equation, and the nonhomogeneous magnetic characteristics by introducing a fictitious magnetic charge. To speed up the algorithm, we apply a number of innovative techniques, including the approximation of magnetic charge effect and the modeling of currents with solenoidal basis. Experimental results demonstrate the accuracy and efficiency of the new algorithm. Its relative error with respect to the commercial tool is below 3%, while its speed is up to one magnitude faster.
R. Wenzel, Vivek Sarin, Weiping Shi
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.2