EDBT 2026 Demo / reviewers in the wild / expert
E. Al-Ani
dblp:84/24
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1
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% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational science and engineering › computational geometry
mesh generation |
0.1 | 1 | 2006 | Generation of Unstructured Meshes for Process and Device Simulation by Means of Partial Differential Equations · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2006 |
Electronic design automation
mesh generation |
0.1 | 1 | 2006 | Generation of Unstructured Meshes for Process and Device Simulation by Means of Partial Differential Equations · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2006 |
Electronic design automation › technology computer-aided design
process and device simulation |
0.1 | 1 | 2006 | Generation of Unstructured Meshes for Process and Device Simulation by Means of Partial Differential Equations · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2006 |
Methods — techniques the papers use, named apart from their topics
partial differential equations · 0.1elliptic grid generation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Generation of Unstructured Meshes for Process and Device Simulation by Means of Partial Differential EquationsabstractFor process and device simulation, very high mesh densities are often required to obtain accurate simulation results. Unfortunately, the required mesh densities depend often on a direction. Conventional mesh-refinement strategies generate isotropic meshes with a high amount of mesh points, reaching the memory and time limits in particular for three-dimensional simulations. For a better resolution of the carrier concentrations, for instance, a boundary-conforming mesh-generation method with tunable mesh spacings in almost orthogonal directions was developed. Similar to elliptic mesh generation, the mesh points are placed inside the simulation regions based on the solution of partial differential equations. The method used can produce highly anisotropic mesh densities in the regions of particular interest. In contrast to elliptic grid generation, which produces structured grids, the method used generates triangular or tetrahedral (unstructured) Delaunay meshes in two or three dimensions, respectively, which are very well suitable for the process and device simulators. Johann Cervenka, W. Wessner, E. Al-Ani, Tibor Grasser, Siegfried Selberherr |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 3 |