Matches in SemOpenAlex for { <https://semopenalex.org/work/W4226302946> ?p ?o ?g. }
- W4226302946 endingPage "41370" @default.
- W4226302946 startingPage "41362" @default.
- W4226302946 abstract "Modeling and design of on-chip interconnect continue to be a fundamental roadblock for high-speed electronics. The continuous scaling of devices and on-chip interconnects generates self and mutual inductances, resulting in generating second-order dynamical systems. The model order reduction is an essential part of any modern computer-aided design tool for prefabrication verification in the design of on-chip components and interconnects. The existing second-order reduction methods use expensive matrix inversion to generate orthogonal projection matrices and often do not preserve the stability and passivity of the original system. In this work, a second-order Arnoldi reduction method is proposed, which selectively picks the interpolation points weighted with a Gaussian kernel in the given range of frequencies of interest to generate the projection matrix. The proposed method ensures stability and passivity of the reduced-order model over the desired frequency range. The simulation results show that the combination of multi-shift points weighted with Gaussian kernel and frequency selective projection dynamically generates optimal results with better accuracy and numerical stability compared to existing reduction techniques." @default.
- W4226302946 created "2022-05-05" @default.
- W4226302946 creator A5027451155 @default.
- W4226302946 creator A5057380866 @default.
- W4226302946 creator A5068909987 @default.
- W4226302946 creator A5082040218 @default.
- W4226302946 creator A5091552666 @default.
- W4226302946 date "2022-01-01" @default.
- W4226302946 modified "2023-10-14" @default.
- W4226302946 title "Second-Order Arnoldi Reduction Using Weighted Gaussian Kernel" @default.
- W4226302946 cites W1551480811 @default.
- W4226302946 cites W1968780839 @default.
- W4226302946 cites W1972783711 @default.
- W4226302946 cites W2022503943 @default.
- W4226302946 cites W2034244658 @default.
- W4226302946 cites W2039497741 @default.
- W4226302946 cites W2051096875 @default.
- W4226302946 cites W2075891646 @default.
- W4226302946 cites W2080711347 @default.
- W4226302946 cites W2089154377 @default.
- W4226302946 cites W2103601685 @default.
- W4226302946 cites W2104991436 @default.
- W4226302946 cites W2118408873 @default.
- W4226302946 cites W2122608783 @default.
- W4226302946 cites W2136084744 @default.
- W4226302946 cites W2157089032 @default.
- W4226302946 cites W2157763958 @default.
- W4226302946 cites W2161690943 @default.
- W4226302946 cites W2170217485 @default.
- W4226302946 cites W2170389986 @default.
- W4226302946 cites W2279865562 @default.
- W4226302946 cites W2514357593 @default.
- W4226302946 cites W2545637111 @default.
- W4226302946 cites W2941536762 @default.
- W4226302946 cites W2974126690 @default.
- W4226302946 cites W3035223446 @default.
- W4226302946 cites W3164655039 @default.
- W4226302946 cites W4237958886 @default.
- W4226302946 cites W4243445004 @default.
- W4226302946 cites W4256402224 @default.
- W4226302946 cites W4238115498 @default.
- W4226302946 doi "https://doi.org/10.1109/access.2022.3167732" @default.
- W4226302946 hasPublicationYear "2022" @default.
- W4226302946 type Work @default.
- W4226302946 citedByCount "1" @default.
- W4226302946 countsByYear W42263029462023 @default.
- W4226302946 crossrefType "journal-article" @default.
- W4226302946 hasAuthorship W4226302946A5027451155 @default.
- W4226302946 hasAuthorship W4226302946A5057380866 @default.
- W4226302946 hasAuthorship W4226302946A5068909987 @default.
- W4226302946 hasAuthorship W4226302946A5082040218 @default.
- W4226302946 hasAuthorship W4226302946A5091552666 @default.
- W4226302946 hasBestOaLocation W42263029461 @default.
- W4226302946 hasConcept C111335779 @default.
- W4226302946 hasConcept C112972136 @default.
- W4226302946 hasConcept C11413529 @default.
- W4226302946 hasConcept C114614502 @default.
- W4226302946 hasConcept C119857082 @default.
- W4226302946 hasConcept C121332964 @default.
- W4226302946 hasConcept C154945302 @default.
- W4226302946 hasConcept C163716315 @default.
- W4226302946 hasConcept C2524010 @default.
- W4226302946 hasConcept C2775924081 @default.
- W4226302946 hasConcept C2779277453 @default.
- W4226302946 hasConcept C33923547 @default.
- W4226302946 hasConcept C41008148 @default.
- W4226302946 hasConcept C47446073 @default.
- W4226302946 hasConcept C57493831 @default.
- W4226302946 hasConcept C62520636 @default.
- W4226302946 hasConcept C74193536 @default.
- W4226302946 hasConceptScore W4226302946C111335779 @default.
- W4226302946 hasConceptScore W4226302946C112972136 @default.
- W4226302946 hasConceptScore W4226302946C11413529 @default.
- W4226302946 hasConceptScore W4226302946C114614502 @default.
- W4226302946 hasConceptScore W4226302946C119857082 @default.
- W4226302946 hasConceptScore W4226302946C121332964 @default.
- W4226302946 hasConceptScore W4226302946C154945302 @default.
- W4226302946 hasConceptScore W4226302946C163716315 @default.
- W4226302946 hasConceptScore W4226302946C2524010 @default.
- W4226302946 hasConceptScore W4226302946C2775924081 @default.
- W4226302946 hasConceptScore W4226302946C2779277453 @default.
- W4226302946 hasConceptScore W4226302946C33923547 @default.
- W4226302946 hasConceptScore W4226302946C41008148 @default.
- W4226302946 hasConceptScore W4226302946C47446073 @default.
- W4226302946 hasConceptScore W4226302946C57493831 @default.
- W4226302946 hasConceptScore W4226302946C62520636 @default.
- W4226302946 hasConceptScore W4226302946C74193536 @default.
- W4226302946 hasFunder F4320321145 @default.
- W4226302946 hasLocation W42263029461 @default.
- W4226302946 hasLocation W42263029462 @default.
- W4226302946 hasOpenAccess W4226302946 @default.
- W4226302946 hasPrimaryLocation W42263029461 @default.
- W4226302946 hasRelatedWork W1974170983 @default.
- W4226302946 hasRelatedWork W2009900301 @default.
- W4226302946 hasRelatedWork W2011929488 @default.
- W4226302946 hasRelatedWork W2144564470 @default.
- W4226302946 hasRelatedWork W2181507927 @default.
- W4226302946 hasRelatedWork W2183135227 @default.