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Hiroyoshi Tanimoto

dblp:40/1841 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1992
—ORCID · none

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

Systems, architecture and hardware · 1 · 1 first-author

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 · 62% Integrated circuit design · 38%

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

TopicWeightPapersLastEvidence papers
Electronic design automation › technology computer-aided design
device simulation
0.011992
Discretization error in MOSFET device simulation · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1992
Integrated circuit design › semiconductor devices › field-effect transistor
MOSFET
0.011992
Discretization error in MOSFET device simulation · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1992
Integrated circuit design
semiconductor devices
0.011992
Discretization error in MOSFET device simulation · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1992

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

voronoi discretization · 0.0delaunay discretization · 0.0
YearPublicationVenuePosition
1992 Discretization error in MOSFET device simulation
abstract
The discretization error in MOSFET device simulation caused by a coarse grid is discussed. Delaunay and Voronoi discretization grids are used to demonstrate the discretization error. It is possible to clarify the discretization error by using these geometrically complementary grids. An error caused by a coarse grid in the subthreshold region originates from an inaccurate rectangular integral of the carrier density. For the Delaunay grid, the calculated inversion carrier density for a coarse grid is overestimated. In contrast, for the Voronoi grid, the inversion carrier density is underestimated. The equations for estimating the error in the subthreshold region are proposed. In the strong inversion region, the error for the Delaunay grid is smaller than the error in the subthreshold region. On the other hand, for the Voronoi grid, the error is large, even in the strong inversion region. The error for the Voronoi grid in the strong inversion region is caused by a quasi-capacitance originating from discretization.>
Hiroyoshi Tanimoto, Naoyuki Shigyo
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.1