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A.J. van Genderen
Researcher at Delft University of Technology
Publications - 21
Citations - 405
A.J. van Genderen is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Circuit extraction & Very-large-scale integration. The author has an hindex of 11, co-authored 21 publications receiving 403 citations.
Papers
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Proceedings ArticleDOI
Extraction of circuit models for substrate cross-talk
TL;DR: A boundary element method (BEM) for calculating an admittance matrix for the substrate in order to analyze the parasitic coupling during layout verification and a Green's function which is specific to the domain and the problem is proposed.
Proceedings ArticleDOI
Fast computation of substrate resistances in large circuits
TL;DR: A method to quickly and accurately estimate substrate coupling effects in analog and mixed digital/analog integrated circuits and has been implemented in the layout-to-circuit extractor Space.
Proceedings ArticleDOI
An Efficient Finite Element Method for Submicron IC Capacitance Extraction
TL;DR: An accurate and efficient method for extraction of parasitic capacitances in submicron integrated circuits using a 3-D finite element model in which the conductor charges are approximated by a piece-wise linear function on a web of edges located on the surface of the conductors.
Journal ArticleDOI
Boundary element methods for 3D capacitance and substrate resistance calculations in inhomogeneous media in a VLSI layout verification package
TL;DR: In this article, the application of boundary element method to the layout verification of VLSI designs is described and the methods for the calculation of interconnection capacitances and substrate resistances with the use of problem specific Green's functions are also described.
Proceedings ArticleDOI
Extracting simple but accurate RC models for VLSI interconnect
TL;DR: The authors describe a method to find RC models for (nonorthogonal) interconnections in VLSI layouts, including resistances as well as ground and coupling capacitances, by eliminating internal nodes by a novel and efficient node-reduction algorithm.