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E. Al-Ani

dblp:84/24 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Computational science and engineering › computational geometry
mesh generation
0.112006
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
0.112006
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
0.112006
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
YearPublicationVenuePosition
2006 Generation of Unstructured Meshes for Process and Device Simulation by Means of Partial Differential Equations
abstract
For 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