Demo Data from EDBT 2026 / reviewers in the wild / expert
Emanuele Baravelli
dblp:71/1106
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2007
—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% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation › technology computer-aided design
device simulation |
0.1 | 1 | 2007 | Wavelet Adaptivity for 3-D Device Simulation · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2007 |
Electronic design automation
mesh generation |
0.1 | 1 | 2007 | Wavelet Adaptivity for 3-D Device Simulation · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2007 |
Electronic design automation › technology computer-aided design
semiconductor device simulation |
0.0 | 1 | 2007 | Wavelet Adaptivity for 3-D Device Simulation · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2007 |
Methods — techniques the papers use, named apart from their topics
wavelet transform · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Wavelet Adaptivity for 3-D Device SimulationabstractA new technique has been implemented with the aim of providing an adaptive tool for the generation of computational meshes for 3-D semiconductor device simulation. The core of the proposed wavelet-based adaptive method (WAM) is a refinement algorithm based on the wavelet transform, which gives an estimation of solution regularity and progressively adapts the grid by increasing the resolution only in regions where the important physical phenomena take place. WAM is inserted into a validation tool that provides the interfacing filters with both the solver and a meshing engine. Additional features assure the quality of the generated meshes by increasing the selectivity properties of the refinement tool, preventing numerical instabilities or artifacts, such as abrupt variations of I-V curves between successive bias points during quasi-stationary simulations. Simulation results are provided, which show the effectiveness of the proposed approach as a means to guide the automatic refinement of the discretization grid, preserving accuracy with negligible computational overhead and no skilled control from the user. Luca De Marchi, Emanuele Baravelli, Francesco Franzè, Nicolò Speciale |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2 |