Demo Data from EDBT 2026 / reviewers in the wild / expert
Razali Ismail
dblp:12/3192
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation › technology computer-aided design › process simulation
dopant diffusion modeling |
0.0 | 1 | 1990 | 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 |
0.0 | 1 | 1990 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1990 | Adaptive meshing schemes for simulating dopant diffusionabstractTwo 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 |