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Razali Ismail

dblp:12/3192 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1990
0000-0002-5704-902XORCID · verified

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 · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation › technology computer-aided design › process simulation
dopant diffusion modeling
0.011990
Adaptive meshing schemes for simulating dopant diffusion · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1990
Electronic design automation › technology computer-aided design
process simulation
0.011990
Adaptive meshing schemes for simulating dopant diffusion · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1990

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

finite element method · 0.0adaptive meshing · 0.0
YearPublicationVenuePosition
1990 Adaptive meshing schemes for simulating dopant diffusion
abstract
Two adaptive meshing schemes for the efficient simulation of dopant diffusion in silicon using the finite element method are presented. The first scheme is based on an adaptation criterion which is obtained by computing a local error estimate derived from the finite element solution itself. The second scheme is based on a mesh adaption criterion which uses physical diffusion parameters. A comparison is then made between the results obtained using the two different meshing schemes. Results obtained using both schemes are in very good agreement with each other; however, the remeshing scheme based on the physical criterion is easier to implement and reduces computation time by a factor of five as compared to the remeshing based on error evaluation. It is thus shown that a computationally efficient adaptive meshing strategy for dopant diffusion problems can be developed by employing a spatial discretization which limits the variation of the diffusion coefficient over an element.>
Razali Ismail, Gehan A. J. Amaratunga
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.1