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Hans Kosina

dblp:51/4790 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2003
0000-0003-1616-4942ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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
2 papers
Electronic design automation · 71% Integrated circuit design · 29%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational science and engineering › computational physics
semiconductor device simulation
0.012003
A review of hydrodynamic and energy-transport models for semiconductor device simulation · Proc. IEEE 2003
Electronic design automation
circuit simulation
0.011997
SIMON-A simulator for single-electron tunnel devices and circuits · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1997
Integrated circuit design › emerging device technologies
single-electron devices
0.011997
SIMON-A simulator for single-electron tunnel devices and circuits · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1997
Electronic design automation › technology computer-aided design
device simulation
0.011994
A hybrid device simulator that combines Monte Carlo and drift-diffusion analysis · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1994
Electronic design automation › technology computer-aided design › device simulation
monte carlo device simulation
0.011994
A hybrid device simulator that combines Monte Carlo and drift-diffusion analysis · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1994
Electronic design automation › technology computer-aided design
process and device simulation
0.011994
A hybrid device simulator that combines Monte Carlo and drift-diffusion analysis · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1994
Integrated circuit design › analog and mixed-signal circuits › device modeling
MOSFET modeling
0.011994
A hybrid device simulator that combines Monte Carlo and drift-diffusion analysis · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1994

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

drift-diffusion model · 0.0boltzmann transport equation · 0.0monte carlo method · 0.0master equation approach · 0.0self-scattering · 0.0monte carlo · 0.0drift-diffusion · 0.0
YearPublicationVenuePosition
2003 A review of hydrodynamic and energy-transport models for semiconductor device simulation
abstract
Since Stratton published his famous paper four decades ago, various transport models have been proposed which account for the average carrier energy or temperature in one way or another. The need for such transport models arose because the traditionally used drift-diffusion model cannot capture nonlocal effects which gained increasing importance in modern miniaturized semiconductor devices. In the derivation of these models from Boltzmann's transport equation, several assumptions have to be made in order to obtain a tractable equation set. Although these assumptions may differ significantly, the resulting final models show various similarities, which has frequently led to confusion. We give a detailed review on this subject, highlighting the differences and similarities between the models, and we shed some light on the critical issues associated with higher order transport models.
Tibor Grasser, Ting-Wei Tang, Hans Kosina, Siegfried Selberherr
Proc. IEEE3
1997 SIMON-A simulator for single-electron tunnel devices and circuits
abstract
SIMON is a single electron tunnel device and circuit simulator that is based on a Monte Carlo method. It allows transient and stationary simulation of arbitrary circuits consisting of tunnel junctions, capacitors, and voltage sources of three kinds: constant, piecewise linearly time dependent, and voltage controlled. Cotunneling can be simulated either with a plain Monte Carlo method or with a combination of the Monte Carlo and master equation approach. A graphic user interface allows the quick and easy design of circuits with single-electron tunnel devices. Furthermore, as an example of the usage of SIMON, we discuss the essential problem of random background charge and present possible solutions.
Christoph Wasshuber, Hans Kosina, Siegfried Selberherr
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.2
1994 A hybrid device simulator that combines Monte Carlo and drift-diffusion analysis
abstract
A hybrid simulator suitable for modeling small semiconductor devices has been developed in which Monte Carlo and drift-diffusion models are combined. In critical device regions, the position-dependent coefficients of an extended drift-diffusion equation are extracted from a Monte Carlo simulation. Criteria for identifying these regions are described. Additional features which make the code more efficient are presented. First, a free-flight time calculation method using a new self-scattering algorithm is described. It allows for an efficient reduction of self-scattering events. Second, a unique Monte Carlo-Poisson coupling scheme has been developed which converges faster than all presently known schemes. It exploits the so-called Monte Carlo-drift diffusion coupling technique, which also forms the basis of the hybrid method. The simulator has been used to model submicron MOSFET's with gate lengths down to 0.15 /spl mu/m. In addition to the non-local effects occurring in these devices, the performance of the hybrid simulation method is analyzed.>
Hans Kosina, Siegfried Selberherr
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.1